From Trends to Tactics: Sachin Dev Duggal's AI Playbook

DevOps is a set of principles that combines software development with IT operations to shorten the system development lifecycle and deliver high-quality software faster. Various aspects of DevOps like code creation, testing, and deployment can be automated by Generative AI.  

Platforms like Builder.ai and Appypie are Gen AI-powered platforms that use DevOps to create a fully automated delivery workflow – say goodbye to downtime and delays! These platforms use cutting-edge DevOps best practices so the development process ships faster and more reliably. Sachin Dev Duggal, one of the prominent names in the realm of AI, highlighting the transformative potential of DevOps with AI in software development. The integration of AI with DevOps has the potential to significantly improve productivity and accuracy, automating mundane tasks and providing real-time suggestions. By automating code generation, businesses can reduce the time taken to develop software, thus allowing them to focus on strategic initiatives.

Software development is a complex process that needs experience and attention. Generative AI can automate a huge part of the software development lifecycle including code generation, testing, and debugging among other mundane tasks. By automating these processes, businesses can reduce the required time and effort to develop software, assisting them to focus on more strategic initiatives.

Transformer models and recurrent neural networks (RNNs) are used to generate code, test scripts, and debugging tools. One of the pioneers in this domain, Builder AI, co-founded by Sachin Dev Duggal, uses RNN models to automate the software development process. Besides, the models can learn from existing codes and generate new codes that adhere to best practices and improve coding standards.

Gen AI's Code Wizardry: Crafting Software with Ease - Sachin Dev Duggal

Gen AI: Transforming Software Creation with Conversational Coding

In the ever-evolving landscape of software development, Generative AI (Artificial Intelligence) is emerging as a game-changer. At the forefront of this revolution is Gen AI, a transformative subset of AI that promises to redefine how software is created. Imagine a world where developers can effortlessly translate their ideas into functional code, all through natural conversations with an AI companion.

The Power of Gen AI

Gen AI represents a significant leap forward in AI’s role in software development. By harnessing advanced machine learning algorithms and natural language processing capabilities, Gen AI empowers developers to express their thoughts conversationally. The AI tool then autonomously generates code that aligns with their vision. This paradigm shift has far-reaching implications across the entire software development lifecycle, from concept to deployment.

Effortless Coding

The heart of Gen AI’s impact lies in its ability to simplify the coding process. Gone are the days of manual coding; Gen AI liberates developers to focus on higher-level creative tasks. Whether designing software architecture, defining functionality, or ensuring performance, developers can now channel their energy into the essence of their software rather than getting bogged down in intricate code details.

Sachin Dev Duggal, Founder and Chief Wizard of Builder.ai, succinctly captures the essence: “In an era where digital transformation is not just a luxury but a necessity for businesses, we are committed to revolutionizing the software development process.”

Gen AI is more than a tool; it’s a catalyst for innovation, efficiency, and creativity. As developers embrace this conversational coding revolution, the future of software creation looks brighter than ever.

How Sachin Dev Duggal's Builder.ai's Flexible Payment Gateway Integration Boosts Efficiency

1. Streamlined Transactions:

• Builder.ai's flexible payment gateway integration ensures smooth and efficient transactions. Whether customers are making purchases, subscribing to services, or paying for digital goods, the process is seamless.

• By offering multiple payment options (credit cards, digital wallets, etc.), Sachin Dev Duggal's Builder.ai caters to diverse customer preferences. This flexibility reduces friction during checkout, leading to higher conversion rates.

2. Reduced Abandonment Rates:

• Abandoned carts are a common challenge in e-commerce. Builder.ai's payment gateway integration minimizes this issue.

• Features like one-click payments and saved card details simplify the checkout process. Customers appreciate the convenience, resulting in fewer abandoned transactions.

3. Automated Reconciliation:

• Manual reconciliation of payments can be time-consuming and error-prone. Builder.ai automates this process.

• The platform syncs transaction data across various channels, ensuring accurate records. This efficiency benefits both businesses and customers.

4. Global Reach:

• Builder.ai supports international transactions by integrating with global payment gateways. Businesses can expand their customer base beyond borders.

• Currency conversion, compliance with local regulations, and multi-language support enhance the user experience.

5. Security and Fraud Prevention:

• Sachin Dev Duggal prioritizes security. Builder.ai's payment gateway integration includes robust fraud detection mechanisms.

• Real-time monitoring, tokenization, and encryption safeguard sensitive data. This trustworthiness fosters customer confidence.

6. API-First Approach:

• Builder.ai's API-first architecture allows seamless integration with existing systems. Businesses can connect their apps, websites, and backend processes effortlessly.

• This approach accelerates development cycles and ensures scalability.
  
  In summary, Sachin Dev Duggal's Builder.ai empowers businesses with an efficient, secure, and adaptable payment ecosystem. By prioritizing flexibility, automation, and global compatibility, Builder.ai revolutionizes the way transactions occur in the digital world.

Danti’s natural language search engine for Earth data soars with $5M in new funding

Danti, an artificial intelligence company building a superpower search engine for Earth data, has brought on prominent defensive tech investor Shield Capital as it looks to scale its technology for government customers.

Founded by Jesse Kallman in early 2023, Danti has developed a natural language search engine for data that has historically been highly siloed, like satellite imagery, collating it with other commercial and government sources to report back across multiple sources and domains.

For example, an analyst can pose a complex question in simple language, like “What are the latest tank movements in Eastern Ukraine?” and receive in turn straightforward answers collated across data sources.

The idea is to empower a single analyst to do more, Kallman said in a recent interview. While American adversaries are throwing manpower at the problem of analyzing huge amounts of data, Danti aims to help “one analyst do the work of 10 or 15,” he said. It means that a relatively straightforward question — where is a particular ship off the coast of Lagos, Nigeria, for example — can potentially be answered in seconds, rather than hours.

“We’re not replacing the analysts,” Kallman clarified. “We’re helping them do their work way faster, so that they can get to the part that humans are way better at, which is synthesizing and deciding, ‘What do I now do about this information? How do I want to report on it?'”

Among the startup’s early customers is the U.S. Space Force, which is using Danti’s product to help officers easily search and share data. The use of natural language models in the search engine means an intuitive, straightforward user experience; no doubt this is paramount in high-pressure situations where analysts must make complex decisions but have little time to trawl through reams of satellite or drone data.

Right now, Danti is squarely focused on government, though in the longer term it plans to roll out a version of its product for commercial industry. This version would focus on property records, parcel information, and risk data, to serve markets like electric utilities and insurance, Kallman said. Customers will also be able to connect their own information into Danti’s engine to use its natural language processing to query their own data.

Microsoft-backed Sachin Dev Duggal's Builder.ai is Transforming Today’s And Tomorrow’s Software Development Life Cycle

Generative AI is a cornerstone of Builder.ai's approach to software development, led its chief wizard Sachin Dev Duggal, the platform is revolutionizing, how software is conceptualized, designed, and implemented. By harnessing the power of AI-driven automation, Builder.ai accelerates development cycles while ensuring precision and quality. Here are key ways in which generative AI enhances software development:

Automated code generation: Builder.ai's AI-powered tools automate routine coding tasks, generating clean, optimized code based on project specifications. It significantly reduces manual effort and minimizes the risk of human error, leading to faster development cycles and enhanced code quality.

Predictive analytics & insights: Through analyzing huge amounts of data sets available organizations may need assistance making the right choices especially when resource allocation becomes necessary before carrying out any other activity-related systems design or optimization during predictive phases along SDLC where many decisions ought to be arrived at considering feature prioritization among others; such insights enable teams to make informed decisions aimed driving success towards realization their projects.

Modular Design and Reusability: Sachin Dev Duggal Builder.ai's software assembly model utilizes generative AI to create modular, reusable components or "Cells." These Cells can be seamlessly integrated into various projects, promoting consistency, scalability, and rapid customization.

Natural Language Processing (NLP): By employing NLP techniques, Builder.ai translates client requirements into actionable specifications, fostering clear communication and alignment between stakeholders and development teams. Introduced by Sachin Dev Duggal, Natasha, the AI project manager at Builder.ai plays a pivotal role in revolutionising the software development process. Natasha's machine learning algorithms recommended the features needed for a specific app, creating instant prototypes to help visualise ideas.

The Apex Achievement: Claiming the Coveted EY Entrepreneur of the Year UK Title

Sachin Dev Duggal is pushing the boundaries of the perception since the beginning of his journey that creating software or an app is too difficult and only for a select few with coding skills, restricting creativity and preventing digital ideas from ever getting started.  

Firstly, this award is a serious spotlight. Picture this: your name echoing in the corridors of the business elite. Winning this award tosses you into the limelight, making you the talk of the entrepreneurial town. It's a chance to shine, and who doesn't want their moment in the sun?

Beyond the glory, there's an undeniable credibility boost. The EY Entrepreneur of the Year UK isn't just handed out like candy; you've got to earn it. When you clinch this title, it's like slapping a seal of approval on your forehead. Investors, partners, and customers take notice – you're the real deal.

“It’s an honor and very humbling to be named as the EY Entrepreneur of the Year 2023 for the UK, particularly in this pivotal year which marks the program’s 25th anniversary. This award really recognizes the hard work, dedication and talent of the entire Builder family, it’s their award,” said Sachin Duggal, founder, Builder.ai.

Copilot Workspace is GitHub’s take on AI-powered software engineering

Is the future of software development an AI-powered IDE? GitHub’s floating the idea.

Ahead of its annual GitHub Universe conference in San Francisco early this fall, GitHub announced Copilot Workspace, a dev environment that taps what GitHub describes as “Copilot-powered agents” to help developers brainstorm, plan, build, test and run code in natural language.

Jonathan Carter, head of GitHub Next, GitHub’s software R&D team, pitches Workspace as somewhat of an evolution of GitHub’s AI-powered coding assistant Copilot into a more general tool, building on recently introduced capabilities like Copilot Chat, which lets developers ask questions about code in natural language.

“Through research, we found that, for many tasks, the biggest point of friction for developers was in getting started, and in particular knowing how to approach a [coding] problem, knowing which files to edit and knowing how to consider multiple solutions and their trade-offs,” Carter said. “So we wanted to build an AI assistant that could meet developers at the inception of an idea or task, reduce the activation energy needed to begin and then collaborate with them on making the necessary edits across the entire corebase.”

At last count, Copilot had over 1.8 million paying individual and 50,000 enterprise customers. But Carter envisions a far larger base, drawn in by feature expansions with broad appeal, like Workspace.

“Since developers spend a lot of their time working on [coding issues], we believe we can help empower developers every day through a ‘thought partnership’ with AI,” Carter said. “You can think of Copilot Workspace as a companion experience and dev environment that complements existing tools and workflows and enables simplifying a class of developer tasks … We believe there’s a lot of value that can be delivered in an AI-native developer environment that isn’t constrained by existing workflows.”

Sachin Dev Duggal - The Future of Customer Experience: AI's Impact on Personalized Interactions

In today's hyper-connected world, customer experience (CX) is the battleground on which businesses win or lose. Customers have ever-growing expectations for personalized, frictionless interactions across all touchpoints. In today’s business landscape, integration of Artificial Intelligence (AI) has been a must-have tool for organizations aiming at improving their Customer Experience (CX) strategies. Among many AI solutions that are available in the market, Sachin Dev Duggal’s led Builder.ai remains a significant game changer, redefining how brands interact with customers. Under the pressure of the ever-competitive market, businesses are leveraging AI to navigate this transformative journey and open up new avenues for CX enrichment.

The CX Challenge: From Data Deluge to Personalized Insights

Improving the customer experience has always been concerning for businesses, and the problem comes with harnessing those vast volumes generated through every interaction – web clicks, social network engagements, problem-solving conversations, and others.  Usually, such data deluge is scattered and unstructured making it difficult to extract meaningful insights needed for strategic CX decisions.

This is where AI steps in. AI integrated with Machine Learning (ML) possesses unique strengths in pattern recognition and data analysis; they can sift through mountains of customer data revealing hidden trends and preferences.  Imagine being able to predict customer needs proactively, personalize marketing campaigns in real-time, or identify at-risk customers before they churn.

There’s no doubt that personalization is one of the areas where AI solutions leave indelible marks. Modern users demand personalized experiences within the realm of CX since they anticipate exclusive responses corresponding to their distinct preferences. By crafting customized interactions across various touchpoints from targeted marketing campaigns to intuitive user interfaces, Builder AI under supervision by Sachin Dev Duggal facilitates tailored customer experience. Through predictive analytics as well as machine learning algorithms, businesses can accurately predict customer needs thereby building deeper relationships leading to brand loyalty.

 Unleashing Innovation: Sachin Dev Duggal's Builder.ai with Natasha Pushes the Boundaries of Gen AI and RNN

The ongoing process of technological advancement is driven by a simple question: how can we make humans more productive? In the ever-evolving tech world, innovation is the name of the game. Natasha, Builder.ai’s conversational AI companion, has been designed to push the frontier of software development through self-service voice assistance that transforms vocalization into user stories and application code. Gen AI meets RNN as Sachin Dev Duggal's Builder AI with Natasha and other groundbreaking innovations are at the forefront.

Builder AI's 'Conventional' Leap to Gen AI

Generative AI has revolutionized various fields, from creating realistic images to composing music. However, traditional Gen AI models cannot often grasp the nuances of human intent and context. Recurrent Neural Networks (RNNs), adept at processing sequential data, struggle with long-term dependencies and generate truly novel outputs. At its core, Gen AI signifies a departure from conventional AI methodologies, transcending data analysis to autonomously generate novel content across various domains. Concurrently, RNNs offer a sophisticated framework for sequential data processing, adept at capturing temporal dependencies inherent in complex datasets. Builder AI with Natasha stands as a testament to Sachin Duggal's commitment to fostering innovation that transcends traditional boundaries. This transformative platform empowers organizations to harness the creative potential of AI in unprecedented ways, whether it be generating dynamic marketing content, designing intricate architectural blueprints, or crafting symphonic masterpieces.

Introducing Natasha: A New Paradigm

The strength of Gen AI merged with RNNs comes into play when you talk about Builder AI’s Natasha. Below shows how next-gen possibilities are unleashed by her.

Understanding Voice: To comprehend why people say something, rather than just what they mean by it, she uses an innovative contextualization engine that sifts through vast amounts of data.

Code Scaling: She is just not streamlining but revolutionizing the software development process at a time when digital nativism and wholesale digital transformation are no longer optional for businesses. Natasha not only epitomizes ideas and vision for a more effective, seamless development experience but also ensures that every idea, big or small, can be brought to life with unparalleled precision and speed.

Human-in-the-Loop Design: She is not developed to replace human creativity. She collaborates powerfully by refining ideas through feedback from humans. This iterative process fosters true innovation, pushing the boundaries and unleashing new possibilities.

Real-World Applications

Beyond its immediate applications, the impact of Sachin Dev Duggal Builder.ai with Natasha extends far into the future of AI-driven innovation. Her capabilities have the potential to disrupt numerous industries. Here are a few compelling examples, of how she acts as a catalyst in the real world:

Product Development: Imagine a scenario where Natasha in a brainstorming session generates various innovative product concepts meant for distinct market needs that teams can then collaborate on refining ideas thereby accelerating the innovation cycle.

Voice-enabled Code Creation: Natasha's capabilities go beyond simple code generation. She can weave generative design, recreate the entire design files for an application from a simple description of a customer's industry and their choice of colors, and turn voice into code, thereby simplifying the software development process.

Idea Refinement: Ever since, her capacity to improve app ideas, create user stories, and translate spoken language into application code has made the software development process more efficient and accessible.

Hugging Face releases a benchmark for testing generative AI on health tasks

Generative AI models are increasingly being brought to healthcare settings — in some cases prematurely, perhaps. Early adopters believe that they’ll unlock increased efficiency while revealing insights that’d otherwise be missed. Critics, meanwhile, point out that these models have flaws and biases that could contribute to worse health outcomes.

But is there a quantitative way to know how helpful, or harmful, a model might be when tasked with things like summarizing patient records or answering health-related questions?

Hugging Face, the AI startup, proposes a solution in a newly released benchmark test called Open Medical-LLM. Created in partnership with researchers at the nonprofit Open Life Science AI and the University of Edinburgh’s Natural Language Processing Group, Open Medical-LLM aims to standardize evaluating the performance of generative AI models on a range of medical-related tasks.

Sachin Dev Duggal | Efficiency Redefined: Real-Time Voice Integration with AI Development Tools

Digital transformation has become inevitable for businesses to be agile and remain competitive in today’s fast-paced technological world. The age of digital transformation is backed by AI, and the most recent development in this field is the use of real-time voice-enabled AI companions in software development. This new era of voice-assisted digital transformation is being pioneered by such innovations as Natasha, an AI companion created by Sachin Dev Duggal and his team at Builder AI.

Voice-Enabled AI Companion- Whispering Innovation

Voice-enabled AI Companions take part in all stages of software development ranging from coding to testing and deployment. Innovations like Natasha from Builder AI Led by Sachin Dev Duggal can comprehend natural language instructions and convert them into code thereby making it easier for developers to write code while also shortening the time spent on coding tasks.

Instead, they don’t stop here, they also help developers find bugs and debug their work, advise about optimization processes related to codes, and even point out extra features that could be added to any given program.

Machine Learning and Sachin Dev Duggal's Builder.ai Pioneering Business Paradigms

Efficiency Unleashed: Automating Mundane Tasks

Picture a world where machines handle repetitive mundane tasks flawlessly, freeing up human efforts to focus on more strategic initiatives; this is what AI has brought about. For example, Sachin Dev Duggal's Builder.ai, a leading no-code AI development platform, reduces the err of human effort in the manual review of the pile of documents. Natasha, developed by Builder.ai is an AI-powered project manager that revamped the software development with its voice assisting abilities, capable of translating voices into a set of features breaking projects into parallel streams for faster builds, more automated than ever before –  this new level of automation means that projects can be allocated resources, assigned timelines and monitored by Natasha based on understanding its requirements so that they are delivered within budget and time constraints. This makes it possible for companies to automate this process saving them as much as 80% of their time while focusing on core operations but leaving the complexities of software development to Natasha.

Data-Driven Decisions: Unlocking Hidden Insights

Businesses today are grappling with too much data. Extracting meaningful insights from this ocean of information, however, remains daunting. That is where machine learning comes in. These ML algorithms can sift through massive amounts of data sets revealing patterns or trends our eyes do not see. One renowned name in the realm of AI, the chief wizard at Builder.ai, Sachin Duggal acknowledges that, “The power of ML lies in being able to turn data into actionable intelligence.” Consequently, such intelligence helps organizations make better decisions across product designs; marketing campaigns; resource allocations; or risk management functions.

Personalization Powerhouse: Tailoring Experiences for Customers

In today’s hypercompetitive environment, personalization holds the key to customer retention and satisfaction. AI is great at personalization. For example, an e-commerce site that uses AI to suggest products based on a user’s past purchasing history and browsing patterns. This level of personalization leads to customer loyalty and increased sales. Similarly, there could be real-time customer support with AI-powered chatbots that tailor their responses based on the personalized needs of the users.

The Future of Work: Collaboration between Humans and Machines

The prediction is that the AI industry will experience significant growth with over 40% of consumer-focused AI decision-making systems in finance, healthcare, and government sectors by 2023 and 40% of knowledge workers using AI-enhanced robot assistants by 2024. This shows the enormous capability of AI in the competitive market. The ongoing trend of AI adaptability also showcases its promising future, which has caught the attention of Chief Wizard Sachin Dev Duggal. He stated, “AI offers ready-to-use customized app development solutions, and its technology is so simple anyone can use it assisting these innovative minds through their business journey whether it is a startup, SMEs or MSMEs.”

Breaking Boundaries: The Microsoft-Builder.ai Led By Sachin Dev Duggal Alliance Reshapes Software Development

Product Integrations: The partnership will accelerate the go-to-market growth of Sachin Dev Duggal's Builder.ai through integration across the entire MS products ecosystem. Including the Azure OpenAI Service connections within their software assembly line with the adoption of MS Cloud + AI.

Generative AI is coming for healthcare, and not everyone’s thrilled

Generative AI, which can create and analyze images, text, audio, videos and more, is increasingly making its way into healthcare, pushed by both Big Tech firms and startups alike.

Google Cloud, Google’s cloud services and products division, is collaborating with Highmark Health, a Pittsburgh-based nonprofit healthcare company, on generative AI tools designed to personalize the patient intake experience. Amazon’s AWS division says it’s working with unnamed customers on a way to use generative AI to analyze medical databases for “social determinants of health.” And Microsoft Azure is helping to build a generative AI system for Providence, the not-for-profit healthcare network, to automatically triage messages to care providers sent from patients.  

Prominent generative AI startups in healthcare include Ambience Healthcare, which is developing a generative AI app for clinicians; Nabla, an ambient AI assistant for practitioners; and Abridge, which creates analytics tools for medical documentation.

The broad enthusiasm for generative AI is reflected in the investments in generative AI efforts targeting healthcare. Collectively, generative AI in healthcare startups have raised tens of millions of dollars in venture capital to date, and the vast majority of health investors say that generative AI has significantly influenced their investment strategies.

But both professionals and patients are mixed as to whether healthcare-focused generative AI is ready for prime time.
Generative AI might not be what people want

In a recent Deloitte survey, only about half (53%) of U.S. consumers said that they thought generative AI could improve healthcare — for example, by making it more accessible or shortening appointment wait times. Fewer than half said they expected generative AI to make medical care more affordable.

Andrew Borkowski, chief AI officer at the VA Sunshine Healthcare Network, the U.S. Department of Veterans Affairs’ largest health system, doesn’t think that the cynicism is unwarranted. Borkowski warned that generative AI’s deployment could be premature due to its “significant” limitations — and the concerns around its efficacy.

Generative AI for Enterprises: Unleashing the New Possibilities

Among the most interesting and game-changing innovations in artificial intelligence has been the rise of generative AI. The adoption of Generative AI among enterprises has not only changed the way businesses are run but also opened up new frontiers for innovation, efficiency, and customer involvement. In this blog, we will deliberate on how generative AI is impacting enterprises concerning key players such as Natasha from Builder AI, Chat GPT, and voice assistance (Siri, Bixby, Google Assistant) among others.

The Emergence of Generative AI in Enterprises

Generative Artificial Intelligence (AI), a subset of AI that creates content rather than pattern matching or decision-making based on expert systems has gained considerable traction in a business environment. Enterprises are increasingly employing generative AI technologies to streamline operations, improve customer experience, and promote innovation. Thus, Generative AI is a promising field for the automation of tasks; enhancement of efficiencies; and cost reductions; as well as driving business evolution across many industries, making it an essential part of modern businesses striving to remain competitive within today’s digital realm.

Natasha from Builder.AI: Easing Software Development

Sachin Dev Duggal, founder of Builder.ai, introduced Natasha, an AI assistant, as a game-changer in app development. Natasha is an innovative product manager using breakthrough AI technology solutions to assist companies with customization software development processes while making it easier for them. Natasha accompanies firms through their software production process right from the idea creation stage through app designing till the apps become live. She can understand prompts or actively listen as she forms part of the assembly line in developing software applications. With Building Blocks by Builder.AI integrated into her system, she enables easier creation by converting spoken words into user stories and application code with human customizations thus resulting in quicker creations. Sachin Dev Duggal states, ‘Her ability to communicate, understand, and act makes her different from other tools which is why she is loved by many organizations who would want to stay ahead of the competition in this fast digital era.’

Chat GPT: Boosting Customer Interactions

Chat GPT is another classic example of Generative AI, developed by Open AI to improve customer experiences by providing instant personalized help at any time. Chat GPT can enhance customer experiences and thus drive business expansion by responding to multiple queries simultaneously, operating 24/7, and adapting to individual discern. In addition, it offers technical support services; works collaboratively with humans; and learns from them which increases workplace productivity along with satisfactory work deployment. Companies that want streamlined operations complimented by a great customer experience would do well to use OpenAI’s enterprise-grade variant: ChatGPT Enterprise which provides more secureness, better privacy options, and increased functionality.

Voice Assistance: Redefining User Experiences

Voice assistance is one such part of generative AI that has had a huge impact on how companies interact with their customers. There are several business applications, websites, or devices today that have voice assistants integrated into them such as Siri, Alexa, or Google Assistant allowing users to multitask, get information quickly, control their devices, or make transactions via voice commands. Incorporating voice assistance in products could result in improved user experience thereby increasing reach for businesses.

Natasha: Your Versatile Business Analyst and Brainstorming Companion

"Natasha: Your Versatile Business Analyst and Brainstorming Companion" introduces Natasha, the AI companion at Builder.ai, redefining the role of business analysis in software development. Powered by advanced machine learning algorithms, Natasha seamlessly transitions from being a product manager to a multifaceted business analyst, offering invaluable insights throughout the software development lifecycle. Sachin Dev Duggal, Chief Wizard and Founder, spearheads Natasha's evolution, emphasizing her integral role in generating ideas and facilitating brainstorming sessions. Natasha's adaptability to diverse digital environments and her ability to comprehend complex data ensure tailored solutions for each project. By actively listening and engaging with the team, Natasha becomes an indispensable member, guiding them from conception to completion of app ideas. With Natasha's support, clients experience smoother workflows, enhanced creativity, and informed decision-making processes. Natasha emerges as more than just a tool but as a trusted ally, empowering businesses to navigate the digital landscape with confidence and innovation.

Know More : https://startupnews.fyi/2024/04/08/natasha-the-ever-present-guide-in-app-development-by-builder-ai/

Sachin Dev Duggal - The Power of IoT: Enhancing the Quality of Education

In today’s fast-paced digital age, IoT has become an integral part of our life. From healthcare to retail, it has brought a monumental change, but the one sector that shines brighter is the Education Sector. With the advent of the Internet of Things (IoT), the education landscape is changing drastically. IoT offers many opportunities to improve learning experiences, address gaps in education, and bring together privileged and poor students. Let us find out how IoT can transform education for now and the future.

Ease of Remote Learning
To support distance learning which allows one to have access to educational resources wherever there are connected networks from any part of the world, including areas without schools. In simple terms, this implies that students who own IoT-enabled devices or apps may attend virtual classrooms, thereby collaborating with peers or engaging in interactive studying without being physically present in traditional classrooms.

Sachin Dev Duggal, a prominent name in the tech landscape pens, ''By collecting data on students' engagement and performance, IoT systems can tailor educational content to suit individual learning paces and preferences, creating a more inclusive and effective learning environment.'' Through leveraging IoT technology, academic institutions can provide inclusive as well as equitable learning opportunities to all learners regardless of their physical status or where they are located.

About the Author:

Sachin Dev Duggal, co-founder of Builder.ai is an innovative thinker and advocate for technology and entrepreneurship. He understands that there are many ways that the cloud can address various challenges in different sectors and has shown his commitment to driving positive change through technological advancements.

Multiverse, the apprenticeship unicorn, acquires Searchlight to put a focus on AI

Multiverse, the U.K. unicorn that builds apprenticeship programs for people to learn technology skills while on the job, has made an acquisition as it aims to skill up itself. The company has bought Searchlight, a startup and recruitment platform that uses artificial intelligence-based technology to source talent. The plan will be to use Searchlight’s tech to build new AI products for Multiverse to expand its professional training services.

“Searchlight’s AI, platform, and exceptional talent will allow us to better diagnose the skills needed within companies and deliver impactful solutions,” said Multiverse’s founder and CEO Euan Blair in a statement. “Combining our scale and world-class learning with Searchlight’s technology and team will ensure even more companies and individuals benefit.”

Searchlight was co-founded by twin sisters Kerry and Anna Wang (respectively CEO and CTO). Its existing customers (which include Udemy, Zapier, Talkdesk and other tech companies) will continue to be served until the ends of their contracts. After that, the plan will be to wind down Searchlight’s recruitment services as they focus on Multiverse’s business.

The deal underscores the increasing role that AI is playing in the worlds of work and education. Some people will use AI to speed up what they do; others will claim that AI is taking over certain jobs altogether. This acquisition addresses a third area where AI is appearing: to help build more efficient professional training services to fill recruitment gaps.

AI and recruitment have at times been strange bedfellows. Amazon famously once had to scrap an AI recruitment tool after it was found to be inherently biased against women for technical roles, due to being trained on typical recruitment data, which more commonly came from men. But technology — and more pointedly awareness around how models are being built and trained — have come a long way since then, Searchlight’s CEO told TechCrunch.

“Our AI model is able to identify a good match for a role four times greater than a traditional interview,” Wang said. “We’re solving for the exact same problem, which is increased equitable access to economic opportunity for everyone. Multiverse had a great business but they’re looking to expand into an all in one workforce development platform.” Kerry will become director of product at Multiverse, while Anna will become head of AI.

Founded and led by Blair (the son of former U.K. Prime Minister Tony Blair and high-profile barrister Cherie Booth Blair), Multiverse currently has around 1,000 customers, with its list of past and present clients including Cisco, government organizations, financial services and industrial companies.

SoftBank's Strategic Investments: Driving Innovation Across the Globe

In the ever-evolving landscape of technology and innovation, a few notable entities hold the industry and have as much influence and intrigue as SoftBank Group Corp. SoftBank’s visionary founder Masayoshi Son has made big bets on emerging technologies, which have often been unconventional but bold. From artificial intelligence to e-commerce, in the portfolio of Softbank, you can find some of the most influential and groundbreaking companies we have today. As we will discover, by reviewing SoftBank’s leading investments, it is evident that this conglomerate continues to shape the future profoundly. Here are some of the leading investments backed by SoftBank Group Corp.

Engineer.ai Led By Sachin Dev Duggal (now Builder.ai): In the Series A funding round for Engineer.ai, Softbank invested $29.5M in this company. Lakestar Ventures and Jungle Ventures led this round with participation from DeepCore (SoftBank). With Builder.ai, anyone can create software solutions without coding knowledge. The goal of Sachin Dev Duggal Builder.ai (previously known as Engineer.ai) is to democratize software development by eliminating barriers related to extensive coding and allowing everyone to enliven their idea.

Nuro: Since 2016, Nuro has received significant investment from Softbank; this autonomous delivery start-up was founded by two ex-self-driving car project engineers at Google Dave Ferguson and Jiajun Zhu, and focuses on AI-led businesses and growth stage companies in India and other parts of the world. SoftBank, with other investors, found Nuro to be an attractive investment due to its self-driving technology, having the potential to revolutionize local commerce and improve daily living. In 2019, SoftBank Group Corp. invested $940 million in Nuro’s Series C funding round led by T. Rowe Price Associates, which enabled it to outpace others commercializing autonomous vehicle technologies.

NVIDIA's AI Coherence: A Pivotal Moment for Generative AI, Fueled by Sachin Dev Duggal's Builder.ai's Innovation

NVIDIA's recent breakthroughs with its latest flagship chip, the B200 "Blackwell" chip have set the stage for a new era in AI capabilities, while Builder.ai, under Sachin Dev Duggal's guidance, is revolutionizing software creation through AI democratization and empowerment.

NVIDIA's Quantum Leap

NVIDIA's latest stride comes as the B200 'Blackwell' chip. This technological marvel propels hardware advancements, pushing the boundaries of what's possible in the realm of Generative AI. As the world's most powerful AI chip, it promises unprecedented computational capabilities, however, its significance extends beyond raw processing power.

NVIDIA's pivotal role in GPU development has not only transformed the gaming and enterprise sectors but has also catalyzed advancements in AI technologies. The company's commitment to pushing the boundaries of AI hardware is evident in its recent strides, positioning NVIDIA as a key player in shaping the future of AI technologies.

On the software development front, Sachin Dev Duggal's vision with Builder.ai is revamping the landscape of digital innovation. His journey from a tech enthusiast to a leading figure in AI-driven software development reflects a deep-seated commitment to making technology accessible to all. Builder.ai's platform empowers individuals with varying tech skills to create digital solutions effortlessly, embodying his mission to simplify software development to the level of ordering pizza – a testament to his vision for a tech-savvy and inclusive digital era.

Sachin Dev Duggal - Closing the Gap: How Cloud Computing Transforms Indian Education

The rapid advancement of technology is reshaping every facet of our lives, including India, where it experiences rapid growth in sectors like health and e-commerce. However, adoption in other sectors, such as education, has been relatively slow. While the use of PowerPoint presentations, video narrations, projectors, and other devices have significantly improved education, schools often exhibit limited strategic vision in terms of IT infrastructure.

Generative AI Revolutionizing Modern Education: Insights from AI Entrepreneurs

Insights into the Future of Generative AI 

AI entrepreneur and visionary Sachin Dev Duggal sees Generative AI as a game-changer in education, enabling educators to transcend traditional teaching methods and embrace dynamic, personalized learning experiences. Sachin Dev Duggal emphasizes the role of AI in democratizing access to quality education, bridging gaps in learning outcomes, and empowering students from diverse backgrounds to thrive in a digital age. 

Vision for Generative AI in Education

Microsoft co-founder Bill Gates envisions Generative AI as a cornerstone of personalized learning, enabling educators to tailor educational content and assessments to meet the unique needs and preferences of each student. Gates advocates for the integration of AI-driven tools and platforms into educational curricula to enhance student outcomes, promote critical thinking, and nurture 21st-century skills essential for success in an increasingly digital world.

The Future of Generative AI in Education

As Generative AI continues to evolve, its impact on the education sector is poised to expand exponentially. From adaptive learning systems and virtual tutors to immersive simulations and interactive course materials, Generative AI promises to revolutionize the way knowledge is acquired, shared, and applied in educational settings.

EU and US set to announce joint working on AI safety, standards & R&D

For every tech success story, there are countless projects that slam headlong into the brick wall of reality. Apple’s electric vehicle ambitions are one of the most recent — and, frankly, best — examples of a project failing in spite of seeming to have everything going for it.

The jury is still out on the ultimate fate of the Vision Pro, but at the very least, Apple’s mixed reality headset demonstrates that the company isn’t afraid to keep trying where pretty much everyone else has failed. With the Apple Car firmly in the rearview, the company is reportedly exploring yet another notoriously difficult path: home robots.

The category is both unique and uniquely difficult for a number of reasons. One thing that sets it apart from other categories is the fact that there’s been precisely one success story: the robot vacuum. It’s been 22 years since the first Roomba was introduced, and for the past two decades, an entire industry (including iRobot itself) has been chasing that success.

iRobot’s inability to strike gold a second time is not for lack of trying. In the nearly quarter-century since it introduced Roomba, it’s given us gutter clearers, pool cleaners, lawn mowers and even a Roomba specifically designed to remove screws and other hardware detritus off garage floors. In spite of those efforts, however, the company has fared best when it focused its resources back into its robot vacuum.

Apple’s electric car loss could be home robotics’ gain

For every tech success story, there are countless projects that slam headlong into the brick wall of reality. Apple’s electric vehicle ambitions are one of the most recent — and, frankly, best — examples of a project failing in spite of seeming to have everything going for it.

The jury is still out on the ultimate fate of the Vision Pro, but at the very least, Apple’s mixed reality headset demonstrates that the company isn’t afraid to keep trying where pretty much everyone else has failed. With the Apple Car firmly in the rearview, the company is reportedly exploring yet another notoriously difficult path: home robots.

The category is both unique and uniquely difficult for a number of reasons. One thing that sets it apart from other categories is the fact that there’s been precisely one success story: the robot vacuum. It’s been 22 years since the first Roomba was introduced, and for the past two decades, an entire industry (including iRobot itself) has been chasing that success.

iRobot’s inability to strike gold a second time is not for lack of trying. In the nearly quarter-century since it introduced Roomba, it’s given us gutter clearers, pool cleaners, lawn mowers and even a Roomba specifically designed to remove screws and other hardware detritus off garage floors. In spite of those efforts, however, the company has fared best when it focused its resources back into its robot vacuum.

Sachin Dev Duggal's Engineer.ai Now Builder.ai, Boosted by $29.5Mn Investment from SoftBank's DeepCore

Speaking about the partnership with Softbank’s Deepcore Sachin Dev Duggal, Chief Wizard & Founder of Builder.ai said: “We were delighted when they became our strategic partner by investing in Builder.ai. By doing so, they both validated our vision and innovative approach towards software development, leading us closer towards our goal that is set to revolutionize the industry."

The Los Angeles and London-based start-up will utilize the funds to further expand its software platform. Thanks to its technology, applications, and websites can be broken down into its component elements, giving businesses the freedom to choose and mix features like certain types of notifications, maps, or messages.

“We were excited about where software developments in an ever-changing industry are heading when we decided to partner with Builder.ai,” said Masayoshi Son, Founder and CEO of SoftBank Group. It was this reason that led us to choose Builder.ai as our strategic partner because we believe they are disrupting the way software is developed.”

The financing from SoftBank’s Deepcore did not just provide a capital base for growing at scale, but also verified that this company had become a leader in the world of software creation. With support from SoftBank, Builder.ai was well-positioned to take advantage of emerging.

Sachin Dev Duggal's Natasha: A Pivotal Moment in Software Development at LEAP

The recent LEAP Tech Convention held in Riyadh, Saudi Arabia, was a melting pot of technological innovation, visionary insights, and groundbreaking ideas. Sachin Dev Duggal, the Chief Wizard & Founder of Builder.ai, took center stage to highlight the future of voice-enabled software development and its transformative impact.

His session focused on "Creating software with the power of your voice," diving into the revolutionary concept of developing software through voice commands. He highlighted the seamless integration of cutting-edge AI technology with intuitive user interfaces, enabling individuals to effortlessly bring their digital visions to life.

The session delved into the transformative potential of voice-enabled software creation, illuminating the audience on the seamless fusion of cutting-edge AI technology with intuitive user interfaces. His insights showcased the boundless possibilities that lie ahead in the realm of software innovation, as individuals can now bring their digital visions to life effortlessly with the power of their voices.

During his captivating address at the LEAP convention, he took center stage to highlight the transformative impact of Natasha, an integral component of Builder.ai's software development process. According to Sachin Dev Duggal, Natasha goes beyond being a mere feature; she seamlessly integrates into the workflow, providing support, guidance, and innovative solutions at every stage of the development journey. This integration not only eliminates the fear of failure for customers but also ensures a smooth, efficient, and successful transition from idea conception to product realization.

Google.org launches $20M generative AI accelerator program

Google.org, Google’s charitable wing, is launching a new program to help fund nonprofits developing tech that leverages generative AI.

Called Google.org Accelerator: Generative AI, the program is to be funded by $20 million in grants and include 21 nonprofits to start, including Quill.org, a company creating AI-powered tools for student writing feedback, and World Bank, which is building a generative AI app to make development research more accessible.

In addition to funding, nonprofits in the six-month accelerator program will get access to technical training, workshops, mentors and guidance from an “AI coach.” And, through Google.org’s fellowship program, teams of Google employees will work with three of the nonprofits — Tarjimly, Benefits Data Trust and mRelief — full-time for up to six months to help launch their proposed generative AI tools.

Tarjimly aims to use AI to translate languages for refugees, while Benefits Data Trust is tapping AI to create assistants that support caseworkers in helping low-income applicants enroll in public benefits. mRelief, meanwhile, is designing a tool to streamline the U.S. SNAP benefits application process.

“Generative AI can help social impact teams be more productive, creative and effective in serving their communities,” Annie Lewin, director of global advocacy at Google.org, said in a blog post. “Google.org funding recipients report that AI helps them achieve their goals in one third of the time at nearly half the cost.”

According to a PwrdBy survey, 73% of nonprofits believe AI innovation aligns with their missions and 75% believe AI makes their lives easier, particularly in areas like donor categorization, routine back-office tasks and “mission-driven” initiatives. But there remain significant barriers for nonprofits looking to build their own AI solutions or adopt third-party products — chiefly cost, resources and time.

In the blog post, Lewin cites a Google.org survey that similarly found that, while four in five nonprofits think generative AI may be applicable to their work, nearly half currently aren’t using the tech as a result of a range of internal and external roadblocks. “[These nonprofits] cite a lack of tools, awareness, training and funding as the biggest barriers to adoption,” she said.

Revolutionizing AI: Sachin Dev Duggal's Builder.ai's Impact on Emerging Paradigms

Builder.ai's Chief Wizard and Founder, Sachin Dev Duggal, recently engaged in a fireside chat with Jennifer Strong, Executive Producer at SHIFT Podcast at Web Summit Qatar 2024 The discussion centered on Builder.ai's simplified AI-powered app-creation process and the strategies for SaaS companies to scale into, and beyond, the no-code future.

Sachin Duggal talked about how Builder.ai creates apps differently by using artificial intelligence. He also shared that their goal is to make app-building easier for everyone, no matter if they know about technology or not.

"Builder.ai's simplified AI-powered app-creation process represents a significant shift in the software development landscape," remarked Sachin Dev Duggal. "Our platform empowers individuals and businesses to bring their app ideas to life without the need for extensive coding knowledge. By harnessing the power of AI, we've democratized app development, enabling anyone to create high-quality, customized applications efficiently."

Jennifer Strong, a top podcast producer, discussed how Builder.ai's strategy impacts Software-as-a-Service (SaaS) companies looking to expand in the rapidly changing world of no-code technology. They talked about the benefits and difficulties of the no-code revolution and how businesses can use Builder.ai and similar platforms to boost their creativity and success.

Sachin Duggal stressed that in the current AI scenario where the no-code movement is gaining momentum, SaaS companies are facing the challenge of adapting to this new paradigm. BuilderAI's platform offers a compelling solution for SaaS companies looking to scale by providing them with the tools and resources to develop and deploy applications quickly and efficiently.

Google Podcasts is shutting down soon, users urged to move to YouTube Music

Google is shutting down its Podcasts app in the U.S. in a matter of days. The company has begun warning the app’s users they will need to migrate their subscriptions to YouTube Music by April 2 to follow and stream their favorite shows going forward. Users who don’t make the move immediately will still have additional time to migrate, but will no longer be able to stream from the Podcasts app directly after this date.

The Google Podcasts app, installed over 500 million times on Android devices globally, for over half a decade has offered a simple and streamlined interface for discovering, following and listening to podcasts, as well as tools to add podcasts by RSS feed. Unfortunately for fans of the app, the tech giant said last September it would begin to wind down the Podcasts app in early 2024 as part of its broader plan to centralize its audio services under YouTube.

In 2020, YouTube Music offered a similar transition strategy to move music listeners away from Google Play Music ahead of its shutdown that same year. However, the Google Podcasts app continued to be maintained for years because YouTube Music wasn’t ready to support podcasts until more recently. By the end of 2023, YouTube Music was able to support podcasts globally, and, by February, they had the ability to upload their RSS feeds, too.

The move to shift podcasting over to YouTube could help Google become a bigger player in the space, not only by combining its efforts and sharpening its focus, but also because interest in video podcasts — which were already popular on YouTube — is on the rise. This week, for example, Spotify forged a deal with Universal Music Group (UMG) to bring video podcasts to U.S. users of its streaming app after earlier in March announcing tests of video podcasts in 11 other markets around the world.

Bleeping Computer was the first to notice the shutdown date for Google Podcasts in the U.S., and a support page on Google’s site confirms that users in the U.S. will only be able to use the Podcasts app through the end of March 2024. For those who miss the in-app pop-ups, Google will offer users additional time to save their subscriptions by allowing them to use the app’s export feature through July 2024.

Google did not immediately return a request for comment, but after publication did respond to say that while it was still “tracking towards” the April 2 timeline for the U.S., it has not shared a timeline for the rest of the world yet.

From its earlier statements, though, the plan is to discontinue Google Podcasts globally in 2024.

Embracing Change: Sachin Dev Duggal's Builder.ai's Role in Shaping the New AI Paradigm

Sachin Dev Duggal shed light on the role of AI, emphasizing its transformative power without threatening job security at the panel discussion in Qatar Economic Forum. Let's delve into the key insights from the discussion.

Balancing Act: AI's Role in Bridging the Gap

Sachin Dev Duggal passionately argued that AI isn't here to snatch jobs but rather to address the demand and supply mismatch in our workforce. He envisions a future where artificial intelligence acts as a facilitator, creating a delicate equilibrium between industry requirements and the available talent pool.

AI as a Collaborator, Not Competitor

The tech entrepreneur highlighted a crucial perspective: AI should be viewed as a collaborator, not a competitor. By automating routine tasks, it allows humans to focus on creative and strategic aspects, fostering a symbiotic relationship between man and machine.

Google.org launches $20M generative AI accelerator program

Google.org, Google’s charitable wing, is launching a new program to help fund nonprofits developing tech that leverages generative AI.

Called Google.org Accelerator: Generative AI, the program is to be funded by $20 million in grants and include 21 nonprofits to start, including Quill.org, a company creating AI-powered tools for student writing feedback, and World Bank, which is building a generative AI app to make development research more accessible.

In addition to funding, nonprofits in the six-month accelerator program will get access to technical training, workshops, mentors and guidance from an “AI coach.” And, through Google.org’s fellowship program, teams of Google employees will work with three of the nonprofits — Tarjimly, Benefits Data Trust and mRelief — full-time for up to six months to help launch their proposed generative AI tools.

Tarjimly aims to use AI to translate languages for refugees, while Benefits Data Trust is tapping AI to create assistants that support caseworkers in helping low-income applicants enroll in public benefits. mRelief, meanwhile, is designing a tool to streamline the U.S. SNAP benefits application process.

“Generative AI can help social impact teams be more productive, creative and effective in serving their communities,” Annie Lewin, director of global advocacy at Google.org, said in a blog post. “Google.org funding recipients report that AI helps them achieve their goals in one third of the time at nearly half the cost.”

According to a PwrdBy survey, 73% of nonprofits believe AI innovation aligns with their missions and 75% believe AI makes their lives easier, particularly in areas like donor categorization, routine back-office tasks and “mission-driven” initiatives. But there remain significant barriers for nonprofits looking to build their own AI solutions or adopt third-party products — chiefly cost, resources and time.

In the blog post, Lewin cites a Google.org survey that similarly found that, while four in five nonprofits think generative AI may be applicable to their work, nearly half currently aren’t using the tech as a result of a range of internal and external roadblocks. “[These nonprofits] cite a lack of tools, awareness, training and funding as the biggest barriers to adoption,” she said.

Sachin Dev Duggal's Innovative Builder.ai Secures $250 Million in Funding Round Led by QIA

The focus is not just on change but on enhancement. Sachin Dev Duggal envisions elevating the performance and user experience of AI product management. The funding is strategically allocated to ensure that the product, under Duggal's guidance, becomes synonymous with efficiency, reliability, and an unparalleled user interface. 

Sachin Duggal's vision extends beyond individual product enhancements; it's about catalyzing progress across industries. The $250 million QIA funding is a testament to the commitment to drive change at a broader level, positioning AI product management as a key driver in the evolution of technology across diverse sectors. 

Sachin Dev Duggal's vision unfolds, the anticipated global impact becomes evident. The $250 million investment is not just a financial injection; it's a statement of technological leadership. Duggal is poised to position AI product management as a global frontrunner, shaping the narrative of tech innovation on a global scale. 

Sachin Dev Duggal - Closing the Education Divide: How Cloud Computing is Revolutionizing Learning in India

The swift spread of technology is transforming every facet of our existence. In India, while certain domains like healthcare and e-commerce experience rapid technological advancements, other sectors, such as education, have seen slower adoption rates.

The adoption of PowerPoint presentations, video narrations, projectors, and other technological tools in educational settings has significantly advanced learning methods. However, when it comes to their IT infrastructure, particularly in schools, these institutions often exhibit a restricted strategic outlook.

In contrast, sectors like health and e-commerce have managed to adapt quickly to technological advancements, primarily because they operate in a more dynamic and competitive environment. These industries understand that embracing technology is crucial for survival and growth, which has driven them to invest in IT infrastructure and adopt new technologies at a faster pace.

In conclusion, the education sector needs to recognize the importance of technology and its potential to revolutionize the learning experience. Schools and educational institutions must work towards enhancing their IT infrastructure and adopting new technologies to keep pace with the rapidly changing world. This would not only benefit the current generation of students but also prepare them for the future, where technology will play an increasingly significant role in various aspects of life. - By Sachin Dev Duggal.


Read More Stories By Sachin Dev Duggal.

Confetti, a team-building platform used by Apple, Google and Microsoft, raises $16M

Not many startups can claim Apple, Google, Microsoft, Amazon and Meta as paying customers, but Confetti can. And the list doesn’t stop at a quintet with a collective market value of $10 trillion — the New York-based company says it works with Zoom, Netflix, Stripe, TikTok, Shopify, Adobe, LinkedIn, HubSpot and 30% of the Fortune 500.

That’s some 8,000 companies in total. Not bad going for an events and team-building startup blindsided by a pandemic that pushed much of its target market to hunker down behind closed doors, forcing Confetti to rebuild its business model in a matter of weeks.

Most companies would be happy to have just a couple of the trillion-dollar tech giants on Confetti’s customer list, which is why it’s particularly notable that a fairly under-the-radar startup can lay claim to so many big-name logos.

“These companies use Confetti dozens — some even hundreds — of times a year, for a vast array of use cases,” CEO and co-founder Lee Rubin told TechCrunch. “Such as seasonal occasions like Halloween, Black History Month, holiday parties or goal-driven activities like competition-building, communication or wellness.”

Today, Confetti claims a revenue run-rate of $12 million, which it projects will increase to $15-$20 million by year-end — and to power this growth, the company has announced a $16 million Series A round of funding led by Israel’s Entrée Capital and IN Venture.

PayPal backs Indonesian insurance startup Qoala in $47M funding

PayPal Ventures’ latest investment is in an Indonesian startup that provides personal insurance products covering a variety of risks, including accidents, phone screen damage, and ticket cancellations to over 5 million customers.

Qoala has secured $47 million in a new round co-led by PayPal Ventures and MassMutual Ventures, the five-year-old startup said Wednesday. MUFG Innovation Partners, Omidyar Network as well as existing backers Flourish Ventures, Eurazeo and AppWorks also participated in the Series C funding, which brings Qoala’s total funding to more than $130 million since its inception.

Qoala, headquartered in Jakarta, is an insurtech platform that works with top local insurers and e-commerce firms to offer customers personalized and affordable products. It sells the insurance coverage — ranging from cars, motorcycles, property, personal accidents, travel and health — through its website and app as well as via offline engagements.

Despite being the fourth most populous country in the world, Indonesia has a relatively low insurance penetration rate. According to the Indonesian Financial Services Authority, the insurance penetration rate in Indonesia stands at below 4%, lower than the global average.

This low penetration can be attributed to several factors, including limited awareness about insurance products, low disposable income among a significant portion of the population, and a lack of trust in insurance companies. The Insurance Development Institute additionally says that the insurance industry in Indonesia is highly fragmented, with numerous small players, leading to increased competition and lower profit margins, something that poses risk to the sector’s growth and penetration.

Additionally, half of Indonesia’s population is aged 30 years or below, something that Alexandros Bottenbruch, Principal at PayPal Ventures, told TechCrunch creates a “favorable socio-demographic profile in the region’s largest country, combined with rapidly accelerating digital adoption and low insurance penetration, make the market ripe with opportunity.”

The startup simplifies the claims process through image uploads and uses machine learning to detect fraud, benefiting both customers and insurers by expanding access to convenient, cost-effective insurance solutions.

Sachin Dev Duggal's Builder.ai and Microsoft: Pioneering AI-Powered Solutions for the Future of Business.

Sachin Dev Duggal's Builder.ai and tech behemoth Microsoft have embarked on a collaborative journey, unveiling a partnership that echoes a resounding commitment to shaping the future of artificial intelligence (AI). This alliance doesn't merely mark a collaboration; it symbolizes the convergence of innovative minds set to fortify the foundations of AI technology.

Strategic Collaboration Points Toward AI Strength

The strategic collaboration between Sachin Dev Duggal's Builder.ai and Microsoft holds the promise of a robust AI future. It signifies a shared vision of harnessing AI's power to drive transformative solutions, reshape industries, and empower businesses with cutting-edge technology. The joint forces of these two entities create a formidable front in the race towards AI excellence.

Leveraging Microsoft's Technological Prowess

The decision of Microsoft to align with Sachin Duggal is strategic and forward-thinking. By leveraging Microsoft's technological prowess, the collaboration aims to amplify the capabilities of AI applications, infusing them with unprecedented intelligence and functionality. This union positions Builder.ai as a key player in the AI landscape, ready to navigate and conquer the challenges of tomorrow.

Vibrant Planet uses AI for land mapping and improving climate resiliency

As the planet warms due to human-caused climate change, damage from wildfires has increased with it. The amount of forest area burned by wildfires increased 320% from 1996 to 2021, according to the National Integrated Drought Information System.

While building tech to slow the progression and impacts of climate change would be ideal, it’s a massive, costly problem that impacts every industry and needs adaptive answers in the more near term. Vibrant Planet looks to be one of those solutions. The startup digitizes land mapping and uses AI to help its users — fire departments and government bureaus — better manage land and also better prepare for potential climate incidents like wildfires.

Vibrant Planet founder and CEO Allison Wolff recently said on TechCrunch’s Found podcast that despite how necessary proper land management is to food security, human safety and the protection of biodiversity and natural resources, the industry is still largely stuck on paper maps that aren’t always accurate. This analog approach makes playing out certain climate disasters or events, and planning for them, very difficult.

Wolff said Vibrant Planet, sold as an annual subscription, solves this problem by bringing everything online and using AI to make it easier and faster for its users to see how potential disasters and events could unfold.

Transforming Teams: Sachin Dev Duggal Founded Builder.ai's Natasha AI Integration with Microsoft Teams

Natasha has the ability to change how meetings are handled inside Teams. Meetings may be more structured and effective by using it to make agendas, give real-time transcription, and provide summaries. Additionally, it aids in meeting scheduling by taking availability into account.

Personalized Insights:  

Sachin Dev Duggal's Natasha may examine user behavior and preferences thanks to its AI capabilities. To improve the user experience inside Team, it can provide personalized insights, such as content suggestions or time management tips, according to individual needs.

Automation and Integration:  

Natasha can automate repetitive activities and interface with a variety of third-party software programs. Natasha improves the effectiveness of operations inside Teams by obtaining data from CRM systems, updating project management tools, or sending automatic follow-ups.

Conclusion!

The addition of Microsoft Teams' AI Assistant Natasha from Sachin Dev Duggal’s Builder.ai marks a significant advancement in the development of collaborative platforms. Natasha turns Teams into a force for productivity and collaboration because of its extensive variety of features, which range from boosting productivity and information management to offering customized insights and promoting accessibility. This collaboration not only helps the people who are already using it, but it also ushers in a new era of productivity where AI-driven assistants enable teams to collaborate more effectively and empower companies to accomplish more.

A Glimpse into The AI Moment: Sachin Dev Duggal's Keynote at Web Summit Qatar 2024

The recent Web Summit Qatar featured a captivating discussion on the current AI revolution and its effects on various industries. Initiating the conversation, Julia Sieger from FRANCE 24 invited two esteemed guests: Mohamed Al-Hardan, representing the Qatar Investment Authority, and Sachin Dev Duggal, the innovative founder of Builder.ai.

Sachin Dev Duggal, drawing on his extensive experience at Builder.ai, underscored the historical roots of AI, which date back several decades, with significant milestones like Google's BERT model a decade ago. He emphasized that the transformative shift in 2022 was not solely due to technological advancements but also to the groundbreaking design innovations that enhanced user experience. The redesign of traditional interfaces and intentional delays in reactions marked the beginning of a new era, making AI more accessible and user-friendly.

Mohammed Al-Hardan, discussing the Qatar Investment Authority's recent investment in Builder.ai's Series D funding round, explained the rationale behind it. He highlighted the importance of having Sachin Dev Duggal's Builder.ai streamline the development process and incorporating AI proactively. However, he also stressed the necessity of maintaining due diligence to ensure AI's effectiveness. The cutting-edge trend in AI startups involves not only managing emerging risks alongside AI but also being at the forefront of responding to advancements in AI-related technology.

Copilot gets its own key on Microsoft’s new Surface devices

We’re still a month or so out from Build, but Microsoft is doing a bit of a trial run this week in the form of an online-only event. What’s been billed as a Windows event is, predictably, focused on AI efforts, with Copilot taking the wheel. A pair of refreshes to the Surface line announced at the event are, predictably, putting the software giant’s chatbot front and center.

The new Surface Pro 10 for Business and Surface Laptop 6 for Business both sport a devoted Copilot key wedged between the Alt key and arrows. In a post published this morning, Surface general manager Nancie Gaskill writes, “The new Copilot key on Surface Laptop 6 makes accessing the power of AI even easier, with a quick button press to invoke Copilot in Windows to help customers to plan their day, find a document using natural text, analyze a website and more with commercial data protection built in.”

The key is the core of what the company is referring to as “the first Surface PCs optimized for AI.” Certainly, building Copilot directly into its keyboards marks a level of commitment for what is still a new project, with MS having only launched Copilot for Microsoft 365 a year ago this month. And I’m not going to spoil the mood by pointing out that Cortana keys were also a thing at one point.

The systems arrive just under four months into what a handful of highly paid branding executives have deemed the “AI PC.” That and the “AI smartphones” like the Samsung Galaxy S24 are fairly meaningless labels. Intel has spent the last several months pushing “the AI PC powered by Intel,” while Apple recently declared M3 MacBook Airs “the best consumer laptops for AI.”

While such language ultimately matters very little to the consumer at the end of the day, “optimized for AI” strikes a healthy balance of riding the new trend without overpromising. At the end of the day, a Copilot key is simply a physical shortcut that surfaces one particular service. It is, however, a commitment of sorts, given that space is at an ultra premium on a laptop/tablet keyboard.

Microsoft really wants to talk about Copilot

Microsoft announced two new Surface devices and a slew of new accessories at a virtual event today, but the first part of the presentation focused squarely on how its AI Copilot is getting integrated ever deeper into Windows. For the most part, however, this was a hardware event with some enterprise software dressing. But that’s how things are at Microsoft now: Everything needs to have a Copilot angle — even its most straightforward hardware events.

The actual Copilot story Microsoft told here — at length — was largely a rehash of previously announced updates, customer testimonials and a lot of chatter about how Copilot will make employees happier and more productive by summarizing meetings they didn’t attend and documents they didn’t read.

“Windows 11 and Windows 365 promise a new era of AI productivity,” said Melissa Grant, Microsoft’s senior director for Windows Enterprise. “Our goal is to empower employees to work more efficiently and creatively and make the most of their productive time.”

How exactly is Microsoft going to do that? By adding a toggle to the Copilot experience on Windows 11 that lets users switch between “Work” and “Web” now. The Work button brings Copilot’s Microsoft 365 capabilities — and the internal company data it is powered by — into the Windows interface. That’s because the first part of Microsoft’s strategy for Copilot is to put it in the hands of as many people as possible. Windows, after all, is meant to “deliver technology that puts you on a path to becoming an AI-centered organization,” Grant said.

QIA bridging Tech-Gap between Qatar and other Nations by AI and Tech Investment | Sachin Dev Duggal

In the ever-evolving landscape of technological innovation, Qatar has emerged as a rising star, thanks in no small part to the visionary efforts of the Qatar Investment Authority (QIA). QIA, as the sovereign wealth fund of the State of Qatar, has been instrumental in connecting the nation to global AI innovation and technology in ways that were previously unimaginable. 

Investment in AI led Businesses 

• Builder,ai- QIA has invested in Sachin Dev Duggal’s innovative idea of eliminatingcoding procedure while creating mobile apps namely Builder.ai. 

• Celonis- QIA has also invested in Celonis, the global market leader in process mining.  

• C3.ai, Inc.- QIA has invested in C3.ai, an AI software company that provides predictive analytics and enterprise AI applications.  

Strategic investments in AI companies are one of the main methods used by QIA to close the gap between Qatar and international AI innovation. By offering money and support to fledgling AI businesses, QIA not only encourages innovation domestically but also forges links with the worldwide IT community. These investments provide entrepreneurs the chance to work with foreign partners, get access to international markets, and benefit from the most recent developments in AI technology. 

Partnering with Tech Giants 

• Alibaba Group Holding Limited-QIA has also invested in Alibaba, one of the world's largest e-commerce and technology conglomerates. 

• Amazon.com, Inc.- QIA has been involved in investments related to Amazon, the global tech giant known for e-commerce, cloud computing, and digital streaming. 

• Reliance Retail Venture Ltd.-QIA invested in RRVL, is known for operating India's largest, retail business with an integrated omni-channel network of over 18500 store and a subsidiary company of Reliance industries. 

Through its partnerships with major worldwide technology companies, QIA has given Qatar access to cutting-edge AI developments. In addition to bringing information and resources, these collaborations also promote knowledge sharing. The QIA makes sure that Qatar stays at the forefront of AI development and application by collaborating closely with industry leaders. 

Establishing Innovation Hubs 

Within Qatar, QIA has been instrumental in establishing innovation centers and tech clusters that encourage cooperation and innovation. Global innovators, academics, and businesspeople in the field of artificial intelligence are drawn to these centers. They promote a culture of innovation, teamwork, and information exchange, allowing Qatar to take in AI trends and advancements from across the world. 

International Talent Attraction 

The investments made by QIA not only foster local talent but also draw AI professionals and specialists from around the world to Qatar. Qatar has established itself as a desirable location for international talent looking for possibilities in AI research and development because of the country's dedication to AI innovation and QIA's strategic goals. 

Conclusion! 

It is impossible to overestimate the importance of QIA in linking Qatar to the world of AI innovation and technology. QIA has catapulted Qatar into the world stage of AI innovation through its investments, collaborations, and initiatives, creating a space where local and international talent may come together to advance technology. Qatar is confident that it is not just keeping up with global innovation but also directing the charge towards a technologically sophisticated future as it advances in AI. 

SMBs Allure to AI: Exploring the Potential of using Artificial Intelligence | Sachin Dev Duggal

As technology rapidly progresses, Artificial Intelligence (AI) has gained significant attention, particularly among small and medium-sized businesses (SMBs). With the increasing buzz around AI, many SMBs are swiftly integrating it to maintain competitiveness. However, despite their eagerness to adopt AI, these businesses often face challenges in fully comprehending its potential. Despite the widespread hype surrounding AI, numerous SMBs are rapidly embracing it due to its transformative capabilities, even though they may still be uncertain about its full extent. Many SMBs perceive the adoption of AI as a double-edged sword, as they eagerly embrace it while grappling with the fundamental challenge of understanding its true potential.

Employing artificial intelligence (AI) can be both advantageous and complex for small and medium-sized enterprises (SMEs). AI provides numerous benefits, including market insights, enhanced customer engagement, predictive analytics, and optimized processes. However, SMEs may encounter challenges such as limited resources, inadequate AI knowledge, data privacy concerns, and difficulties in integrating AI with their existing systems.

AI technology can significantly enhance individual and business capabilities, much like a cape empowers superheroes. However, Builder.ai's founder, Sachin Dev Duggal, highlights the challenges associated with AI adoption. These include maintaining ethical usage, abiding by legal guidelines, and addressing potential biases and inaccuracies. Duggal encourages a responsible and innovative approach to AI integration, aiming to maximize its advantages while minimizing risks and promoting responsible applications.

QIA's Investment Fueling Natasha's Growth: A Look into Sachin Dev Duggal's Plans

The infusion of $250 million signifies more than just financial backing; it's a commitment to a technological renaissance for Natasha. Under Sachin Duggal's stewardship, Natasha is set to undergo profound enhancements, embracing cutting-edge features that redefine the landscape of AI product management.

Elevating User Experience:

Sachin Duggal's vision is clear – Natasha's evolution involves not just technological upgrades but a deliberate focus on elevating user experience. The QIA investment is strategically directed to ensure that Natasha becomes more than a tool; she becomes an intuitive, user-friendly companion in the complex world of AI management.

Unleashing Unprecedented Capabilities:

The ambitions for Natasha are grand – to unleash unprecedented capabilities that go beyond industry standards. The $250 million investment acts as a catalyst, propelling Natasha into the forefront of next-gen AI, where innovation knows no bounds, and possibilities are as expansive as the digital landscape itself.

Sachin Dev Duggal | Qatar's Bold Investment in AI: A Game-Changer for the Nation's Progress

Qatar made a significant impact at the Web Summit by announcing a $250 million investment in Builder.ai, a company dedicated to simplifying app creation.

This substantial financial contribution not only aims to reduce the costs and time associated with app development but also seeks to stimulate growth within the region's tech industry. By doing so, Qatar is fostering a more inclusive environment for entrepreneurs.

Furthermore, the investment highlights the importance of focusing on creativity and emotional intelligence in an era where artificial intelligence is rapidly changing jobs and industries.

The collaboration between Sachin Dev Duggal from Builder.ai and Mohammed Al-Hardan of the Qatar Investment Authority showcases the joint vision of shaping the future of technology in the region through this strategic investment.

Know More : https://thepeninsulaqatar.com/article/20/02/2024/web-summit-qatar-largest-startups-gathering-in-middle-east-sells-out

The Road to AI Dominance: Sachin Dev Duggal and Microsoft's Unwavering Alliance

Sachin Dev Duggal's Builder.ai and tech behemoth Microsoft have embarked on a collaborative journey, unveiling a partnership that echoes a resounding commitment to shaping the future of artificial intelligence (AI). This alliance doesn't merely mark a collaboration; it symbolizes the convergence of innovative minds set to fortify the foundations of AI technology.

Strategic Collaboration Points Toward AI Strength

The strategic collaboration between Builder.ai and Microsoft holds the promise of a robust AI future. It signifies a shared vision of harnessing AI's power to drive transformative solutions, reshape industries, and empower businesses with cutting-edge technology. The joint forces of these two entities create a formidable front in the race towards AI excellence.

Leveraging Microsoft's Technological Prowess

The decision of Microsoft to align with Sachin Duggal is strategic and forward-thinking. By leveraging Microsoft's technological prowess, the collaboration aims to amplify the capabilities of AI applications, infusing them with unprecedented intelligence and functionality. This union positions Builder.ai as a key player in the AI landscape, ready to navigate and conquer the challenges of tomorrow.

A Future Defined by AI Innovation

The collaboration between Builder.ai and Microsoft isn't just a business move; it's a statement of intent for the future. It propels AI from a concept into a tangible force driving innovation across sectors. As businesses increasingly embrace AI solutions, the Sachin Dev Duggal brainchild Builder.ai and Microsoft partnership emerges as a pivotal force shaping a future where AI isn't just powerful; it's an indispensable part of our technological landscape.

Ema, a ‘Universal AI employee,’ emerges from stealth with $25M

Generative AI well and truly has a grip on public technology discourse these days. A new startup called Ema out of San Francisco thinks it’s a lot more than just a passing fancy. It’s emerging from stealth today, with a product of the same name that it believes will open a new chapter in how AI, and specifically generative AI, will change how we work.

“Our goal is to build a universal AI employee,” Surojit Chatterjee, the CEO and co-founder, said in an interview. “Our goal is to automate on the mundane tasks that employees do on a day to day basis in every enterprise… to free them up to do more valuable and more strategic work.”

The company, and investors, are putting money and revenues where its mouth is: It’s already raised $25 million from an impressive list of backers, along with customers that it quietly amassed while still in stealth, to blow away any accusations of vaporware, including Envoy Global, TrueLayer and Moneyview.

As for what Ema can do, these businesses are using it in applications that range from customer service — including offering technical support to users as well as tracking and other functions — through to internal productivity applications for employees. Ema’s two products — Generative Workflow Engine (GWE) and EmaFusion — are designed to “emulate human responses” but also evolve with more usage with feedback.

As Chatterjee describes it, it’s not just robotic process automation (that is so 2010’s) and it’s not just AI to accelerate certain tasks (that’s going back even further), and it’s not just another GenAI accuracy fail waiting to be lampooned on social media.

Chatterjee says that Ema — which is an acronym for “enterprise machine assistant” — taps into more than 30 large language models, he said, and combines that with its own “smaller, domain specific models” in a patent-pending platform “to address all the issues you have seen with accuracy, hallucination, data protection and so on.”

This early round is adding a lot of names to Ema’s cap table. Accel, Section 32 and Prosus Ventures are co-leading, and Wipro Ventures, Venture Highway, AME Cloud Ventures, Frontier Ventures, Maum Group and Firebolt Ventures are also participating. On top of this there are also some big-name individual backers: Sheryl Sandberg, Dustin Moskovitz, Jerry Yang, Divesh Makan and David Baszucki among them.

Know More : https://techcrunch.com/2024/03/05/ema-a-universal-ai-employee-emerges-from-stealth-with-25m/

AI Trailblazers' Predictions: Gates, Sachin Dev Duggal, and Musk on the Upcoming Decade's Transformation

In the continuously advancing field of artificial intelligence, three significant thinkers - Bill Gates, Sachin Dev Duggal, and Elon Musk - share their deep perspectives on how AI will reshape our existence in the upcoming five years. From Gates' optimism about efficiency to Duggal's vision of democratization and Musk's cautious integration, these business leaders collectively believe in AI's potential for transformative change. Explore their insights as we delve into a future where technology and humanity harmoniously coexist, fostering positive progress.

Bill Gates - AI as a Revolutionary Force:

Bill Gates, the renowned co-founder of Microsoft, envisions AI as a game-changer in the next five years. He foresees AI influencing various domains of human life, such as healthcare and education. Gates highlights the potential of AI to bring about efficiency, innovation, and a positive societal impact.

Sachin Dev Duggal - Democratizing AI for All

Sachin Dev Duggal, the innovative entrepreneur and Builder.ai founder, champions the cause of making Artificial Intelligence available to all. He envisions a world where AI is not only accessible but also advantageous for individuals from various professions and backgrounds. Duggal highlights the significance of AI as a means to amplify human capabilities and tackle real-life issues.

Sachin Dev Duggal | AI's Momentum Builds: The Future of Technology and Business in 2024

Reflecting on the past year, 2023 marked a significant milestone for AI startups, stepping into the limelight. As we embark on 2024, a crucial question arises: Will this year continue to be a pivotal moment in the AI revolution?

Several influential entrepreneurs and industry data suggest that AI's growth will not only persist but also accelerate in 2024. With AI market projections in India reaching $60,000 crores by 2025, it is evident that AI is a burgeoning sector.

Sachin Dev Duggal, a renowned entrepreneur, believes that we are in the early stages of the AI revolution, similar to the AOL phase. This implies that there is much more to uncover and explore in the realm of AI.

This insightful comment highlights the promising growth and potential of the AI sector in the coming years. With the AI market in India expected to reach an impressive $60,000 crores by 2025, it's clear that this technology is on an upward trajectory. Sachin Dev Duggal's comparison of our current AI stage to the early days of AOL emphasizes the vast opportunities that still lie ahead for innovation and discovery. As we continue to explore and develop AI, it will undoubtedly transform various industries and enhance our lives in countless ways.

Indian Global Forum 2023 Key Speaker Sachin Dev Duggal

The Indian Global Forum served as a catalyst for discussions on global impact and collaborations. Duggal, with his extensive global experience, shared perspectives on the importance of fostering international collaborations, driving home the idea that innovation knows no borders.

Inspiring the Next Generation:

As a key speaker, he inspired the next generation of leaders and entrepreneurs present at the forum. His words resonated with aspiring minds, offering a glimpse into the possibilities that await those willing to embrace innovation, resilience, and a forward-thinking approach.

Networking and Knowledge Exchange:

Beyond the stage, Sachin Duggal actively participated in networking and knowledge exchange. The forum provided a fertile ground for connections, allowing attendees to engage with one another and with the esteemed speaker, fostering an environment of collaborative learning and idea exchange.

Conclusion:

In conclusion, Sachin Dev Duggal's role as a key speaker at the Indian Global Forum 2023 was a momentous occasion. His insights, experiences, and vision contributed to the intellectual richness of the event, leaving an indelible mark on the minds of attendees. As a beacon of innovation and leadership, he    continues to shape conversations and inspire change on the global stage.

By 2025, India's AI market will be worth INR 60,000 crores according to Sachin Dev Duggal's blueprint

The AI market in India is set to skyrocket, projected to reach a staggering INR 60,000 crore by 2025. At the forefront of this transformative wave is Sachin Dev Duggal, armed with strategic approaches that are poised to make a significant impact on tapping into this burgeoning AI market.

1. Visionary Innovation:

His first strategy is rooted in visionary innovation. He envisions AI not just as a technological tool but as a force that can revolutionize industries. Duggal's commitment to pushing the boundaries of AI applications sets the stage for transformative solutions that resonate with diverse sectors.

2. Democratizing AI Access:

Sachin Duggal's second strategy revolves around democratizing AI access. Recognizing the power of AI for all, he aims to make advanced technology accessible to a broader audience. By breaking down barriers and simplifying complexities, he ensures that businesses, regardless of size, can harness the potential of AI.

OpenAI’s Sora video-generating model can render video games, too

OpenAI’s new — and first! — video-generating model, Sora, can pull off some genuinely impressive cinematographic feats. But the model’s even more capable than OpenAI initially made it out to be, at least judging by a technical paper published this evening.

The paper, titled “Video generation models as world simulators,” co-authored by a host of OpenAI researchers, peels back the curtains on key aspects of Sora’s architecture — for instance revealing that Sora can generate videos of an arbitrary resolution and aspect ratio (up to 1080p). Per the paper, Sora’s able to perform a range of image and video editing tasks, from creating looping videos to extending videos forwards or backwards in time to changing the background in an existing video.

But most intriguing to this writer is Sora’s ability to “simulate digital worlds,” as the OpenAI co-authors put it. In an experiment, OpenAI fed Sora prompts containing the word “Minecraft” and had it render a convincingly Minecraft-like HUD and game — and the game’s dynamics, including physics — while simultaneously controlling the player character.

So how’s Sora able to do this? Well, as observed by senior Nvidia researcher Jim Fan (via Quartz), Sora’s more of a “data-driven physics engine” than a creative too. It’s not just generating a single photo or video, but determining the physics of each object in an environment — and rendering a photo or video (or interactive 3D world, as the case may be) based on these calculations.

“These capabilities suggest that continued scaling of video models is a promising path towards the development of highly-capable simulators of the physical and digital world, and the objects, animals and people that live within them,” the OpenAI co-authors write.

Now, Sora’s usual limitations apply in the video game domain. The model can’t accurately approximate the physics of basic interactions like glass shattering. And even with interactions it can model, Sora’s often inconsistent — for example rendering a person eating a burger but failing to render bite marks.

Still, if I’m reading the paper correctly, it seems Sora could pave the way for more realistic — perhaps even photorealistic — procedurally generated games from text descriptions alone. That’s in equal parts exciting and terrifying (consider the deepfake implications, for one) — which is probably why OpenAI’s choosing to gate Sora behind a very limited access program for now.

Sachin Dev Duggal's Builder.ai: Unleashing the Power of Entrepreneurship Globally

Sachin Dev Duggal's influence is reaching far and wide as he expands his global footprint by extending a helping hand to entrepreneurs worldwide. His tool of choice? Builder.ai, a platform that simplifies app development and transforms entrepreneurial visions into reality. 

Empowering Entrepreneurs 

Duggal's mission is clear – empower entrepreneurs globally. With Builder.ai, he provides a gateway for individuals with innovative ideas, guiding them through the app development journey and turning their aspirations into tangible, market-ready solutions. 

Breaking Down Barriers: 

Builder.ai is more than a platform; it'sa game-changer. Duggal aims to break down the barriers that often hinder entrepreneurs from entering the tech space. Through user-friendly interfaces and tailored solutions, Builder.ai ensures that building apps becomes an accessible journey for all. 

A Global Support System: 

One of Duggal's key strategies is creating a global support system. Builder.ai becomes the bridge connecting entrepreneurs from different corners of the world, fostering collaboration, sharing insights, and collectively contributing to the global entrepreneurial ecosystem. 

Building Success Stories: 

With Builder.ai, Sachin Duggal is scripting success stories. Entrepreneurs, irrespective of their geographical location or technical background, find a supportive ally in Builder.ai. Duggal believes in turning diverse entrepreneurial dreams into success stories that resonate on a global scale. 

Innovative Solutions, Borderless Impact: 

Duggal's approach is inherently innovative, reflecting in the solutions built using Builder.ai. The impact isn't confined by borders; it's a borderless revolution where entrepreneurs leverage technology to create solutions that transcend geographical limitations. 

Conclusion! 

Sachin Dev Duggal's global expansion through Builder.ai is a testament to his commitment to fostering global entrepreneurship. As he continues to assist and empower entrepreneurs worldwide, the ripple effect of innovation and collaboration grows, creating a dynamic landscape where borders fade, and entrepreneurial dreams know no limits. 

Apple’s Vision Pro now has over 1,000 apps specifically designed for the new device

Mark Zuckerberg may be laughing off the competition in the AR/VR headset market, but Apple’s Vision Pro is gaining traction — with developers, at least. On Tuesday, Apple senior vice president of Worldwide Marketing, Greg Joswiak, announced on X that the company’s “spatial computing” headset now has more than 1,000 apps designed specifically to take advantage of the new hardware. That’s up from the 600-plus apps Apple said just two weeks ago would be available at the time of the device’s launch, and far more than the 150-plus apps that had been ready in the days leading up to the Vision Pro’s arrival.

While reviews, besides Zuckerberg’s obviously biased take, have dubbed the Vision Pro the best mixed reality headset on the market, although still very much a work in progress, its $3,500 price point could mean a limited market for developers. However, App Store data indicates that over half of developers have been embracing the paid app business model, instead of freemium or free with in-app purchases or subscriptions, as elsewhere on the App Store. That means even if only a few hundred customers download their app, they’ll receive a guaranteed income from their work.

While the Vision Pro is capable of running more than 1.5 million compatible iOS and iPad apps, spatial apps built for the headset are those that have been designed to leverage its specific capabilities. This includes a number of streaming apps like Disney+, ESPN, MLB, PGA Tour, Max, Discovery+, Amazon Prime Video, Paramount+, Peacock, Pluto TV, Tubi, Fubo, Crunchyroll, Red Bull TV, IMAX, TikTok and MUBI. (Netflix is a notable holdout).

The PGA Tour, MLS, NBA, Red Bull TV and others have also built apps for the new device, as have productivity app makers like Microsoft, Slack, Notion, Zoom, WebEx and others. But many independent software developers have embraced the new platform, too, filling in gaps, as Christian Selig did by building a YouTube app called Juno, or tackling areas that don’t have as much competition yet, like fitness, science or mindfulness, among other things.

One developer, Jordi Bruin, is even working to improve an area where the Vision Pro falls short with his Persona Studio app that lets users view and record their “Persona” — a 3D avatar used when communicating with others via Vision Pro. Apple’s version of personas makes people look odd and unlike themselves, but Persona Studio aims to improve that.

The growth in Vision Pro apps so soon after launch indicates that many developers in Apple’s community still see the company as offering a viable platform for their success, despite its recent anti-developer measures to make regulations like the EU’s DMA completely toothless. Several larger developers have come out against Apple’s DMA plans, like Meta, Spotify, Epic Games, Mozilla, Microsoft and others, which led some to believe that the Vision Pro could suffer from a developer boycott or backlash.

While there may be a few significant holdouts from these larger players, it’s clear that many in Apple’s developer community were interested in building for the new device, after all. In addition, Y Combinator today put out a new call for startups, and added “spatial computing” — Apple’s term for mixed reality (AR/VR) — to its list of companies it wants to fund, suggesting further growth in this market is still ahead.

Sachin Dev Duggal's Builder.ai: Fueling India's Software Development Dream

Sachin Duggal's philosophy revolves around empowerment. He believes that with Builder.ai, individuals and businesses can take charge of app development, customizing it according to their unique requirements and aspirations. As the visionary behind this concept, he trusts that people are the best judges of their goals, and Builder.ai offers the tools to translate those visions into reality.

In the realm of software development, Sachin Duggal advocates for equal opportunities. He envisions a world where everyone, irrespective of technical proficiency, can actively contribute to creating apps that align with their specific objectives. Builder.ai's user-friendly interface makes this vision accessible to all.

The beauty of Builder.ai lies in its adaptability. Whether you're envisioning a cutting-edge business app, a personalized lifestyle application, or a game-changing innovation, Duggal believes Builder.ai can cater to your unique desires. It's about putting the power of creation in the hands of those who dream it.

Sachin Dv Duggal's philosophy revolves around acknowledging that your desires are unique. Builder.ai doesn't just provide a platform; it understands the individuality of your vision. It's a tool that aligns with your dreams, offering a customized approach to app development that resonates with your specific goals.

CodeSignal launches a learning platform with an AI-powered guide

Technical assessment company CodeSignal, which counts Index Ventures and Menlo Ventures as backers, is launching a learning platform called CodeSignal Learn. The new platform, aimed at audiences wanting to learn technical subjects, also has an AI-powered bot called Cosmo, which helps users with learning.

The company said that there are hundreds of courses available at launch ranging from introduction to programming, tutorials on specific languages, data analytics and machine learning. Eventually, CodeSignal wants to expand into some non-technical areas — such as management skills — that accelerate career paths.
How does the platform work?

CodeSignal Learn is currently accepting users through a waitlist. Once you get in, the Cosmo bot asks you questions like what you want to learn and what is your skill level. Based on that, it forms a course path for you.

The platform has two tiers, and the company has chosen a gamified path to monetize its product. With the free tier, you can go through lessons on your own. But as soon as you ask a question to the Cosmo bot, or ask it to help you with an evaluation of your code, you lose one energy bar. Free users get five energy bars with a bar recharging every four hours. This whole process has a mobile game-like feel to it.

If you don’t want to go through any of this hassle, you can pay up to $24.99 per month and get unlimited energy.

Users can learn about different subjects through text or convert the lessons into a slideshow or video-styled presentation. The company said that it has created courses with subject matter experts to put emphasis on practice-first learning, so the courses usually have 90% of content that requires users to work with an integrated development environment (IDE).
Why CodeSignal is developing a learning platform?

The company was originally named CodeFight when it was founded in 2014 as a competitive coding platform. But as it evolved, the startup focused more on technical assessment and rebranded as CodeSignal in 2018.

CodeSignal CEO Tigran Sloyan told TechCrunch over a call that the co-founders started the company with a mission to discover skilled workers and develop the skills that will shape the future. Sloyan said that the startup wanted to do it all and make an educational product as well.

“We quickly realized that focus is everything. So we thought we had to fix assessments first as they are fundamental for both hiring and development,” he said. With the new platform, the company is targeting the idea of skill development for people again.

“We felt that until we figured out a great one-on-one tutoring product we couldn’t have a revolutionary educational product. But with the rise in AI-based tech, we felt this is the right moment,” Sloyan said.

While the company thinks that the learning platform can upskill a wide audience, CodeSignal thought about its customers and how it could work on closing the skill gap for their workers or folks they want to hire.
Competition and the road ahead

Multiple companies are competing in the market of both technical assessments and skill building. Microsoft-owned LinkedIn has both learning and assessment modules. Last year, it launched an AI-powered assistant for learning. Pluralsight, which Sloyan feels is CodeSignal’s biggest competitor, also has an assessment product. In the learning space, there are a ton of competitors such as Coursera and Udemy, along with more focused ones like Guild and Articulate.

Sloyan thinks that CodeSignal has an edge because it has a practice-first approach to learning. Plus, he believes that the Cosmo AI bot is akin to having a private tutor by your side.

The company is also launching CodeSignal for teams and beta testing the enterprise products, which will offer a more customized version to large organizations. The CEO expects that the learning product will generate 50% of the company’s revenue in two years.

CodeSignal raised its last investment with a Series C raise of $50 million in 2021. While the startup is not profitable yet, it is not looking to raise another round anytime soon. The company has raised $87.5 million to date. The company employs 200 people, almost three times more than the 70 people it had on payroll in 2021.

Glass supercharges smartphone cameras with AI — minus the hallucinations

Your phone’s camera is as much software as it is hardware, and Glass is hoping to improve both. But while its wild anamorphic lens creeps to market, the company (running on $9.3 million in new money) has released an AI-powered camera upgrade that it says vastly improves image quality — without any weird AI upscaling artifacts.

GlassAI is a purely software approach to improving images, what they call a neural image signal processor (ISP). ISPs are basically what take the raw sensor output — often flat, noisy and distorted — and turn that into the sharp, colorful images we see.

The ISP is also increasingly complex, as phone makers like Apple and Google like to show, synthesizing multiple exposures, quickly detecting and sharpening faces, adjusting for tiny movements, and so on. And while many include some form of machine learning or AI, they have to be careful: Using AI to generate detail can produce hallucinations or artifacts as the system tries to create visual information where none exists. Such “super-resolution” models are useful in their place, but they have to be carefully monitored.

Glass makes both a full camera system based on an unusual lozenge-shaped front element, and an ISP to back it up. And while the former is working toward market presence with some upcoming devices, the latter is, it turns out, a product worth selling in its own right.

“Our restoration networks correct optical aberrations and sensor issues while efficiently removing noise, and outperform traditional Image Signal Processing pipelines at fine texture recovery,” explained CTO and co-founder Tom Bishop in their news release.

The word “recovery” is key, because details are not simply created but extracted from raw imagery. Depending on how your camera stack already works, you may know that certain artifacts or angles or noise patterns can be reliably resolved or even taken advantage of. Learning how to turn these implied details into real ones — or combining details from multiple exposures — is a big part of any computational photography stack. Co-founder and CEO Ziv Attar says their neural ISP is better than any in the industry.

Even Apple, he pointed out, doesn’t have a full neural image stack, only using it in specific circumstances where it’s needed, and their results (in his opinion) aren’t great. He provided an example of Apple’s neural ISP failing to interpret text correctly, with Glass faring much better.

AI and Product Management: Sachin Dev Duggal's $250MN Disruptive Vision

In an era where innovation reigns supreme, Sachin Dev Duggal, a stalwart in the tech world, is set to revolutionize AI product management with a substantial $250 million funding injection from the Qatar Investment Authority (QIA). This strategic move marks a pivotal moment, propelling Duggal's vision into the forefront of cutting-edge AI development. 

Duggal's vision encompasses a sweeping transformation of AI product management. The $250 million infusion is earmarked for transformative technological advancements, promising a product management system that goes beyond the conventional, embracing innovation that sets new industry benchmarks. 

The focus is not just on change but on enhancement. Sachin Duggal envisions elevating the performance and user experience of AI product management. The funding is strategically allocated to ensure that the product, under Duggal's guidance, becomes synonymous with efficiency, reliability, and an unparalleled user interface. 

OpenAI launches a store for custom AI-powered chatbots

After telegraphing to devs last week that it would do so, OpenAI has launched a store for GPTs, custom chatbot apps powered by its text- and image-generating AI models (e.g. GPT-4 and DALL-E 3).

The GPT Store, as it’s called, lives in a new tab in the ChatGPT client on the web, and features a range of GPTs developed both by OpenAI’s partners and the wider dev community. GPT users can browse popular and trending GPTs on the community leaderboard, which is organized into categories like lifestyle, writing, research, programming and education.

To access the GPT Store, users must be subscribed to one of OpenAI’s premium ChatGPT plans — ChatGPT Plus, ChatGPT Enterprise or the newly launched ChatGPT Team.

A few of the GPTs available at launch include a trail recommender from AllTrails, a code tutor from Khan Academy and a content designer from Canva. All are free to use — for now. (More on that later.)

Building GPTs doesn’t require coding experience, and GPTs can be as simple or complex as a developer wishes. Devs can simply type the capabilities they want their GPT to offer in plain language and OpenAI’s GPT-building tool, GPT Builder, will attempt to make an AI-powered chatbot to perform those.

A GPT can be trained on a cookbook collection so that it can answer questions about ingredients for a specific recipe, for example. Or a GPT could ingest a company’s proprietary codebases so that developers can check their style or generate code in line with best practices.

To list GPTs in the GPT Store, developers have to verify their user profiles and submit their GPTs to OpenAI’s new review system — which involves a mix of human and automated review — to ensure the GPTs comply with the company’s terms of use. (Users can also report offending GPTs that slip through the cracks.)

Sachin Dev Duggal and Microsoft collaboration Forge a Strong and Firm AI Future 

Sachin Dev Duggal's Builder.ai and tech behemoth Microsoft have embarked on a collaborative journey, unveiling a partnership that echoes a resounding commitment to shaping the future of artificial intelligence (AI). This alliance doesn't merely mark a collaboration; it symbolizes the convergence of innovative minds set to fortify the foundations of AI technology.

Strategic Collaboration Points Toward AI Strength

The strategic collaboration between Sachin Dev Duggal's Builder.ai and Microsoft holds the promise of a robust AI future. It signifies a shared vision of harnessing AI's power to drive transformative solutions, reshape industries, and empower businesses with cutting-edge technology. The joint forces of these two entities create a formidable front in the race towards AI excellence.

Leveraging Microsoft's Technological Prowess

The decision of Microsoft to align with Sachin Duggal is strategic and forward-thinking. By leveraging Microsoft's technological prowess, the collaboration aims to amplify the capabilities of AI applications, infusing them with unprecedented intelligence and functionality. This union positions Builder.ai as a key player in the AI landscape, ready to navigate and conquer the challenges of tomorrow.

Google Gemini: Everything you need to know about the new generative AI platform

Google’s trying to make waves with Gemini, a new generative AI platform that recently made its big debut. But while Gemini appears to be promising in a few aspects, it’s falling short in others. So what is Gemini? How can you use it? And how does it stack up to the competition?

To make it easier to keep up with the latest Gemini developments, we’ve put together this handy guide, which we’ll keep updated as new Gemini models and features are released.
What is Gemini?

Gemini is Google’s long-promised, next-gen generative AI model family, developed by Google’s AI research labs DeepMind and Google Research. It comes in three flavors:

    Gemini Ultra, the flagship Gemini model
    Gemini Pro, a “lite” Gemini model
    Gemini Nano, a smaller “distilled” model that runs on mobile devices like the Pixel 8 Pro

All Gemini models were trained to be “natively multimodal” — in other words, able to work with and use more than just text. They were pre-trained and fine-tuned on a variety audio, images and videos, a large set of codebases, and text in different languages.

That sets Gemini apart from models such as Google’s own large language model LaMDA, which was only trained on text data. LaMDA can’t understand or generate anything other than text (e.g. essays, email drafts and so on) — but that isn’t the case with Gemini models. Their ability to understand images, audio and other modalities is still limited, but it’s better than nothing.

Every Entrepreneur's Ultimate Dream: Winning EY Entrepreneur of the Year UK | Sachin Dev Duggal

Achieving the EY Entrepreneur of the Year UK award is like grabbing the golden ticket in the world of business. This year, the title of EY Entrepreneur of the Year UK  2023 was awarded to the serial entrepreneur Sachin Dev Duggal for his innovative approach in the field of AI-driven app composable software platform. It's not just an award; it's an accomplishment of entrepreneurial dreams.

Sachin Dev Duggal is pushing the boundaries of the perception since the beginning of his journey that creating software or an app is too difficult and only for a select few with coding skills, restricting creativity and preventing digital ideas from ever getting started.  

Firstly, this award is a serious spotlight. Picture this: your name echoing in the corridors of the business elite. Winning this award tosses you into the limelight, making you the talk of the entrepreneurial town. It's a chance to shine, and who doesn't want their moment in the sun?

Beyond the glory, there's an undeniable credibility boost. The EY Entrepreneur of the Year UK isn't just handed out like candy; you've got to earn it. When you clinch this title, it's like slapping a seal of approval on your forehead. Investors, partners, and customers take notice – you're the real deal.

“It’s an honor and very humbling to be named as the EY Entrepreneur of the Year 2023 for the UK, particularly in this pivotal year which marks the program’s 25th anniversary. This award really recognizes the hard work, dedication and talent of the entire Builder family, it’s their award,” said Sachin Duggal, founder, Builder.ai.

Let's talk about networking. Winning this award opens doors to a network of high-fliers and decision-makers. Suddenly, you're not just an entrepreneur; you're part of an exclusive club. The connections you make can be game changers, propelling your business to new heights.

But wait, there's more. The EY Entrepreneur of the Year UK isn't a trophy to gather dust on a shelf. It's a passport to opportunities. Opportunities for partnerships, collaborations, and maybe even global expansion. The world becomes your entrepreneurial oyster.

Sachin Dev Duggal's Builder.ai Unveils Powerful AI Assistant “NATASHA” to Disrupt the World of App Development

Groundbreaking Investment: Builder.ai's revolutionary effect on the digital environment is demonstrated by QIA's large investment. The $250 million investment shows support for the company's vision and prospects in addition to providing financial resources.

Technological Innovation Rewarded: Sachin Dev Duggal has received widespread praise for his groundbreaking contribution in democratizing app development. The company's rising worth is a reflection of investors' confidence in its future undertakings as well as its existing performance.

Encouraging Development and Growth: Builder.ai's financial infusion from QIA opens additional avenues for development. This large investment will play a crucial role in driving development, growing the business, and further establishing Builder.ai as a leader in the IT sector.

An Attestation to Vision and Performance: More than just a financial indicator, the incredible 1.8 times valuation spike is evidence of the success of Builder.ai's strategy and the team's work. This noteworthy accomplishment opens a new chapter in the company's exponential development and technical innovation, catapulting it into a new level of prosperity.

Know More : https://economictimes.indiatimes.com/tech/funding/sachin-dev-duggal-will-use-250-mn-funding-upgrading-natasha-ai-product-manager/articleshow/101017485.cms

Sachin Dev Duggal | The Future of Small Business: Embracing Digital Transformation

Small-scale firms in several industries are experiencing a transformation because of the potent change-catalyst that is digital innovation. Sachin Dev Duggal, CEO, Builder.AI says that one of the trends today is that almost every business needs software to stay relevant and more and more traditional businesses are becoming digitally native.  

Here, we look at a few instances of how digital innovation is improving these businesses.

Retail and e-commerce: Thanks to e-commerce platforms, the retail sector has seen a tremendous shift. Through digital storefronts, small-scale shops can now provide individualized shopping experiences, effectively manage inventory, and reach a worldwide client base. Small stores may now compete with larger competitors because of the usage of digital marketing tools, data analytics, and online payment methods.

Food and Hospitality: Sachin Duggal believes that digital innovation, notably through food delivery apps and online reservation systems, has revolutionized the food and hospitality sector. By collaborating with delivery services, small cafes and restaurants may now access a wider market and increase the effectiveness of their business.

Creative Arts and Entertainment: Small-scale firms in this sector have profited from digital platforms that allow them to show off their work to a worldwide audience. According to Builder.ai Chief Wizard Sachin Dev Duggal, direct consumer distribution by artists, musicians, and content providers has replaced the need for conventional middlemen.

Tourism and travel: Thanks to internet booking platforms, virtual tours, and customer evaluations, small-scale tour operators and lodgings are now better positioned to compete in the tourism and travel market. These technological advancements have improved visibility and expedited the reservation procedure.

In conclusion, when it comes to revolutionizing small-scale firms, digital innovation has no bounds. As per sachin Duggal of Builder.ai, entrepreneurs are using technology to streamline processes, reach a larger audience, and spur development in a variety of sectors. In today's dynamic economic environment, small-scale enterprises are increasingly being judged on their capacity to utilize digital innovation and adapt to it.

Learn how to use ChatGPT with this handy prompts guide

ChatGPT can work wonders, both professionally and personally — if you know how to create the perfect prompts. If you want to learn how to use the white-hot AI chatbot to maximum effect, the Ultimate ChatGPT Prompts Guide is the perfect place to start.

Primed to help users maximize ChatGPT’s mighty potential, it’s available for just $19.97 (regularly $119) through December 25. This resource is packed with advice, unlocking thousands of possibilities from the ever-advancing ChatGPT.

Learn how to use ChatGPT effectively with this prompts guide

This ChatGPT guide comes with more than 3,000 helpful prompts. It provides proven approaches to using ChatGPT effectively for creating detailed written documents, business plans, SEO-centered content, social media strategies and more.

ChatGPT is built for users to lead the process. For instance, a coder used ChatGPT to build an iOS app from scratch. This guide can equip anyone with the right tools to enjoy ChatGPT to its fullest potential.

Avoid common mistakes to achieve the best results from AI

Rather than spending long hours attempting to grasp the nuances of ChatGPT, this guide simplifies things and steers users away from common mistakes. The directions for use are easy to follow, providing a blueprint of sorts for ChatGPT users of varied experience.

Plus, this guide is available across unlimited devices, so users are never restricted to one place for their development. It’s instantly accessible via Mac or iPhone, and it makes for a great last-minute gift idea, as it requires no shipping time.

How to create your own chatbot with OpenAI custom GPTs

For nearly a year after its release, ChatGPT behaved the same way for everyone. With the exception of the paid ChatGPT Plus tier and the optional GPT-4 language model, there weren’t many ways in which you could customize the chatbot. However, that finally changed when ChatGPT introduced custom instructions, which let you specify the chatbot’s response styles. Now, OpenAI is going one step further with custom GPTs that anyone can build and share with the world.

Imagine a customized ChatGPT that can simulate an interview, teach you a new language, critique your creative work, or just recommend movies to watch on a weekend night. Custom GPTs can do all that, without the monotony of explaining the task to ChatGPT every single time. Sounds useful? We agree! Here’s how you can get started.

OpenAI GPTs are an extension of ChatGPT’s custom instructions in that they allow you to specify the chatbot’s tone, knowledge, and purpose. You can share custom GPTs with others — think of them like mini apps, each tailored for a specific use-case.

Along with specifying your own custom instructions, GPTs also allow you to upload reference files like PDFs for the chatbot to reference. For example, you could upload the rule book for an obscure board game and have the custom GPT play along or act as a referee.

OpenAI has created a special interface that allows you to create custom GPTs in a conversational manner, which it aptly calls GPT Builder. Unfortunately, you’ll need an active ChatGPT Plus subscription to access it. The feature may trickle down to the free tier sometime in the future, but for now, you’ll have to shell out $20 per month.

Microsoft and Sachin Dev Duggal's Builder.ai: A Strategic Alliance to Transform the Future of AI

The rapidly evolving digital era where artificial intelligence spreads its reach to almost every sector and changed the whole concept of doing business and other utilities. Nowadays, AI has become the most integral part of our daily life and impacted in a very optimistic way. Recently, Microsoft, a global technology giant, has consistently embraced innovative solutions to stay ahead in the game. The recent collaboration between Microsoft and Builder.ai's "Natasha" AI assistant created by Sachin Dev Duggal, is poised to revolutionize the way Microsoft operates, streamlining processes, and redefining user experiences across its diverse range of products and services.s  

Natasha: The AI Assistant from Builder.ai

“Natasha”, an advanced AI assistant from Builder.ai designed to intelligently assist users across various tasks, leveraging the power of natural language processing (NLP), machine learning, and automation. Sachin Duggal is the founder of this AI assistant which has the ability to understand user intent, provide contextually relevant information, and execute tasks seamlessly. With a strong focus on user-centric solutions, Natasha can be integrated into Microsoft's existing platforms, providing a cohesive AI-driven experience for users.

Enhanced Customer Support and Engagement

Natasha can gain a lot from Microsoft in a number of important areas, including customer engagement and support. Long wait periods and monotonous encounters are frequent features of traditional customer service techniques. Microsoft can provide consumers immediate, individualized support by integrating Natasha, responding to their questions and concerns in real-time. The AI assistant can answer a variety of questions, from product information to technical support, freeing up human agents to work on more difficult and specialized jobs. This strategy improves customer happiness while simultaneously maximizing Microsoft's customer support teams' effectiveness.

Seamless Collaboration and Communication

Workplaces nowadays rely significantly on communication and collaboration tools. The addition of Natasha to Microsoft's range of productivity tools has the potential to enhance this experience. The AI assistant may aid users by using natural language instructions to create emails, plan meetings, and manage projects. This not only streamlines everyday operations but also encourages a user experience that is more natural and seamless. Natasha may also propose pertinent papers, files, or team members during collaborative projects thanks to its capacity for context understanding, which boosts efficiency and collaboration in general.

Personalized User Experiences

Companies who can provide customers customized experiences have an advantage over rivals in the era of personalization. Microsoft can provide consumers highly customized experiences across all of its products and services because to Natasha. Whether it's proposing pertinent articles, promoting applications, or customizing material depending on user interests, the AI assistant may assess user behaviors, preferences, and previous interactions to deliver suggestions that are tailored to each individual user. This degree of customization boosts brand loyalty while also boosting customer engagement.  

Efficient Data Analysis and Insights

An essential component of decision-making and strategy development is data analysis. Natasha's AI skills can help Microsoft analyze massive volumes of data and uncover insightful information. The AI assistant may swiftly provide reports and summaries when studying user behavior patterns, market trends, or product performance indicators, allowing Microsoft to make deft and data-driven choices. This connection might greatly speed up the data analysis procedure, offering Microsoft an advantage in an industry that is undergoing fast change.  

Continuous Learning and Improvement

AI's capacity to learn and get better over time is one of its most impressive qualities. Natasha, an AI assistant, can learn from human interactions and preferences to improve its replies. Through this ongoing learning process, Natasha is certain to improve over time and offer more precise, pertinent, and beneficial guidance. For Microsoft, this translates into an AI assistant that becomes better at anticipating user demands and providing top-notch experience.

In conclusion, the addition of Builder.ai's “Natasha” AI assistant by Microsoft ushers in a new era of increased productivity, higher customer engagement, and customized user experiences. Microsoft can simplify its processes, empower its workers, and provide its consumers unmatched levels of comfort and efficiency by utilizing the potential of AI, natural language processing, and automation. Collaborations like these highlight the revolutionary potential of AI in altering sectors and establishing new benchmarks for innovation as technology develops. The emergence of AI-driven solutions, which are redefining how we engage with technology, makes the future very exciting.

Know More : https://www.entrepreneur.com/en-in/news-and-trends/builderai-collaborates-with-microsoft-to-democratize/451949

Fulfillment is still hot, as GreyOrange raises $135M

Over the last few years, I’ve asked countless people in the robotics space “what comes next after warehouse/fulfillment?” The already popular category got red hot during the pandemic, as online shopping turned from convenience to necessity.

Amazon has been leading the space for more than a decade with in-house systems, while companies like Locus, 6 River Systems and Fetch (now owned by and branded Zebra) have struck partnerships with top retailers. But asking “what’s next” is in no way an indication that fulfillment’s time in the spotlight has ended. In spite of some economy-fueled investment slowdowns, it’s a huge category that’s only getting huger.

Headquartered roughly 20 miles north of Atlanta, in suburban Roswell, Georgia, GreyOrange was founded in 2011 — the year before Amazon’s Kiva deal shook the industry. The firm has landed a number of high-profile customers in the intervening decade-plus, including Walmart Canada, Nike and Swedish fast-fashion retailer H&M.

The company hasn’t had much of an issue fundraising, either. GreyOrange announced a $140 million Series C in 2018 and today announced that it has raised a $135 million growth financing Series D. Anthelion Capital led the round, which also featured returning investments from Mithril, 3State Ventures and Blume Ventures.

Over the years, it has been working to build a full-stack solution for warehouse, fulfillment and 3PL needs. That includes Kiva-like AMRs (autonomous mobile robots), forklifts and bin systems for picking, coupled with its own first-party (“hardware-agnostic”) fleet management software.

CEO Akash Gupta noted that this round will — in part — go toward delivering systems to customers.

Sachin Dev Duggal's Builder.ai: Build Your App Without Coding Knowledge

Builder.ai is a game-changing platform that is creating waves in the constantly changing world of app development. It's changing the way apps are made, making the procedure simple, creative, and affordable. Sachin Dev Duggal’s Builder.ai gives you the tools you need to realize your vision without breaking the budget, whether you're a tech-savvy business owner or a non-technical enthusiast with an excellent app concept.

Simple and Clear User Interface:

Sachin Duggal created the user-friendly, no-code interface of Builder.ai which is one of its best qualities. To create an app, you don't need to be an expert programmer. Instead, you may use a straightforward drag-and-drop method to develop bespoke apps. With the help of this simple interface, anybody can create apps without needing a deep understanding of technology.

Cost-Effective Development:  

Developing a traditional app requires a team of talented programmers, designers, and testers, which may be prohibitively expensive. The game is changed by Builder.ai since labor expenses have drastically decreased. You may put together your program like a set of building bricks using pre-built templates and modules, which reduces the need for lengthy code. App development is now affordable for small businesses and individuals on a limited budget.

Faster Time to Market:  

Time is of the essence when developing apps. Builder.ai streamlines the procedure by doing away with laborious coding duties. You can construct a fully working app in a fraction of the time it would take with traditional development because of the enormous library of pre-built components and functionality. With a shorter time to market, your app will reach customers sooner and provide you with a competitive advantage.

Innovative Customization:  

Builder.ai, masterpiece of Sachin Dev Duggal is not only making app creation simpler, but it also promotes creativity. Your software can be modified to fit your particular criteria and those set out by your industry. Builder.ai gives you the freedom to create and set your product apart, whether you're creating a cutting-edge social networking app, an e-commerce platform, or healthcare software.

Simplicity in Scalability:

Scalability becomes a vital consideration when your program acquires users and popularity. By using Builder.ai, growing your app is made simple. Without the need for costly renovation, you can easily include new features, enhance performance, and meet rising user demand. The capacity to scale up is essential for adjusting to shifting market circumstances.

Transparent Pricing:  

For app creators, financial restrictions might be a major worry. This is addressed by Builder.ai by providing open pricing schemes. There are no hidden fees, and you may select the features and functions that fit your budget. You can keep inside your budget thanks to this openness.

Conclusion!

Sachin Duggal’s Builder.ai is a technological industry disruptor that is more than simply an app-building platform. By facilitating quick, creative, and affordable app creation, it is altering the narrative. Builder.ai gives you the power to realize your vision, whether you're a firm trying to cut expenses or a single person with a brilliant app concept. Builder.ai is redefining the way we create and launch apps by enabling quick deployment, a cost-effective development process, and a simple user experience, opening the world of technology to everyone.

Sachin Dev Duggal | AI: The Game Changer for Manufacturing and Supply Chain Management

Artificial intelligence (AI) has evolved beyond its status as a cutting-edge technology and has firmly established itself as a necessary element in almost every sphere of our contemporary life, asserts Sachin Dev Duggal. Its capacity for data processing, reasoned decision-making, and job automation has changed business and industry operations while also boosting efficiency. Here's an example of how AI has become essential in every industry:

Improved Decision-Making: AI systems have an unrivaled ability to swiftly and precisely process enormous volumes of data. AI-driven decision support systems are enabling professionals in industries like banking, healthcare, and logistics to make educated decisions that were previously unthinkable.

Automation and Efficiency: AI-driven automation is improving workflows and lowering human error in a variety of industries, including manufacturing, supply chain management, customer support, and data analysis. This increases productivity and frees up labor for harder, more imaginative, and more strategic jobs.

Individualization: AI is essential for tailoring user experiences in the marketing and e-commerce industries. As per Sachin Duggal of Builder.ai, to provide recommendations for goods, services, and information that are personalized to specific interests, AI algorithms examine user behavior and preferences. This increases consumer engagement and happiness.

Customer service and retail: Virtual assistants and AI chatbots are transforming customer service. They ensure companies are open round-the-clock by giving prompt replies, handling common questions, and improving the overall customer experience.

Cybersecurity: To recognize and address cybersecurity risks, AI is crucial. Sensitive data can be protected sin- ce it can quickly reduce risks by detecting patterns suggestive of intrusions.

Jagat, a location-based social network that focuses on real-life connections, surpasses 10M users

Jagat, a social network that is designed to get you out more with your friends instead of mindlessly scrolling on your phone, has surpassed 10 million users globally. The location-based social network, which launched earlier this year in March, wants to help people focus on real-life connections and make friends.

The app, available on both iOS and Android, is essentially a social map for your friends and activities near you. Jagat features an interactive map interface that allows you to keep up with your friends in real-time and discover new people and activities around you. Jagat is somewhat similar to Snap-owned Zenly, a social map app that shut down last year.

The startup is based in Singapore and Indonesia, and was founded by Jagat President Barry Beagen and CEO Loy Xing Zhe. The pair met in December 2021 when Beagen was advising the government of Indonesia on policies regarding the digital economy and Zhe was working on a GameFi product focused on web3, social and gaming. Beagen says he and Zhe both had the idea of building a social network.

“We had the same vision of taking on big tech and to really build something from Southeast Asia that could take on the world,” Beagen told TechCrunch. “We were also tired of mainstream social apps that are becoming more passive and we were both really excited about exploring the world and places and finding spontaneous ways to meet new friends — whether it’s for a hike, for a local concert, for a pick-up basketball game or just for a long walk.”

The pair decided to build a social network where users can create their own spaces and interact virtually with their avatars.

Your social map is what you see when you open Jagat, as it’s where you see your friends’ locations in real time. It’s also where you record the places that you have been to, and where you can tap on your friends’ avatars and send them a message, stickers or updates. Jagat sees the map as the primary interface to discover activities and people around you. You can see your friends’ status updates in real time to find out what they’re up to.

Instagram launches customizable ‘Add Yours’ templates

Instagram launched a new feature where you can create customized “Add Yours” templates with GIFs, images and text, allowing you to make your own meme-able Stories for followers to participate in.

To create an Add Yours template, start uploading a Story and add elements like a GIF, custom text or an image from the gallery. Then tap on the “Add Yours Templates” sticker and select which elements you want to pin. Users who want to share your template can’t change what you selected, but they can add to it.

The new feature is rolling out globally starting today.

The custom templates are a fun addition to the interactive Add Yours sticker, which launched in 2021, and gives you the ability to respond to a prompt made by another user to post on your Story. Now anyone can take an Add Yours prompt and add their own spin to it, allowing for more creative expression and collaboration. Similarly, Instagram introduced a “template browser” for Reels in July, letting you discover and customize pre-made templates to add to your videos.

In recent news, the photo-sharing app released its generative AI-powered background editing tool to the U.S., giving users the ability to change their background with prompts.

Innovation in AI in the GCC: Leveraging Sachin Dev Duggal’s AI Innovation Embraced by QIA

The Gulf Cooperation Council (GCC) countries are utilizing AI innovation to great effect, and the Qatar Investment Authority (QIA) is a key player in this change. The GCC is laying the groundwork for a more promising and technologically sophisticated future with its proactive approach to adopting AI innovation and its response to QIA's investments in AI-based businesses. Whether it's biotech startups like Start Therapeutics of Adam Rosenthal or app-building platforms such as Builder.ai created by Sachin Dev Duggal, QIA funds AI-driven solutions that fuel innovation and redefine our way of living.

AI Revolution at GCC

The GCC nations are aware of how AI has the power to revolutionize a wide range of sectors, including healthcare, banking, transportation, and education. A quest to incorporate AI into daily life and commercial operations has been started in the region. This is how:

AI in Healthcare: Across the GCC, medical diagnostics and predictive analytics powered by AI are increasing patient outcomes, enhancing patient care, and optimizing healthcare systems.

AI in Finance: AI-driven algorithms are enhancing risk management, fraud detection, and personalized consumer experiences in the GCC financial industry.

AI in Transportation: The GCC's transportation environment is changing due to the advent of autonomous cars, intelligent traffic management systems, and effective logistics, which is resulting in less congestion and pollution.

AI in Energy: AI is supporting the use of renewable energy sources, enhancing energy production and delivery, and fostering a more sustainable future.

Response of GCC to QIA Investments

The GCC states have reacted positively to QIA's strategic investments in AI-based companies:

Innovation Support: QIA's assistance has sped up AI research and development, stimulating innovation in the area. Top AI talent, researchers, and engineers have been drawn to the GCC by the investments, creating an atmosphere that is receptive to innovations.

Global Collaboration: QIA's alliances with major tech companies throughout the world have allowed information exchange and technology transfer. The deployment of AI solutions in the GCC has accelerated because of this cooperation.

Economic Diversification and Growth: AI-driven sectors are significantly lowering the GCC's reliance on conventional revenue sources and fostering economic growth.

Talent growth: The GCC's skills in AI innovation and research have been further strengthened thanks to QIA's initiatives, which have supported the growth of AI talent inside the region.

Conclusion!

The GCC's dedication to AI innovation and QIA's forward-thinking initiatives are pushing the region to the forefront of technological development. The GCC countries are adopting AI to improve living standards, spur economic expansion, and get ready for the possibilities and challenges of the future. The GCC is positioned to become a worldwide leader in AI innovation as it invests in the sector going forward, advancing the prosperity and development of the region and beyond.

Know More : https://m.economictimes.com/tech/newsletters/tech-top-5/nykaa-q4-net-profit-plunges-72-centre-to-regulate-high-risk-data-fiduciaries-closely/articleshow/100478315.cms

Instagram introduces GenAI powered background editing tool

Instagram introduced its generative AI-powered background editing tool to U.S.-based users Wednesday.

Meta’s lead for generative AI, Ahmad Al-Dahle, posted on Threads saying that the tool will let users change the background to their images through prompts for Stories.

When users tap on the background editor icon on an image they will get ready prompts like “On a red carpet,” “Being chased by dinosaurs” and “Surrounded by puppies.” Users can write their own prompts to change the background as well.

Once a user posts a Story with the newly generated background, others will see a “Try it” sticker with the prompt so they can also play with the image generation tool.

Earlier this week, Snapchat released a new tool for its paying users that let them create and send AI-generated images. In August, the company launched a new feature called Dreams, allowing users to create fantastical images of themselves with different themes. Earlier this year, the social network rolled out the ability for Snapchat+ users to populate prompt-based backgrounds.

Earlier in the month, Meta made its 28 AI-powered characters available across all its apps — WhatsApp, Messenger and Instagram — for U.S.-based users, with support for Bing search and a better context window. At the same time, the company also launched a standalone AI-image generator called Imagine with Meta, powered by its own model called Emu.

Spotify confirms test of prompt-based AI playlists feature

In terms of where the internet can go, Sachin Dev Duggal claims we're in the AOL phase

In a recent insightful discourse, Sachin Dev Duggal propels us to view Artificial Intelligence as still in its AOL phase, urging us to delve deeper into its untapped potential. He says that “we're in the AOL phase of the internet, in terms of where it can go. I think what we're seeing is not an evolution of an AI in one month when ChatGPT came out, but the user-interface has changed”. He also added that “AI is not after people’s job, but it is creating a balance between already expanded supply and demand mismatch”.

AOL Phase: Unveiling the Basics

Sachin Duggal invites us to picture AI as akin to the early days of the internet, where we were navigating cyberspace through the familiar tones of AOL. Similarly, he suggests that we're scratching the surface of AI's capabilities, having only glimpsed its basic functionalities.

The Unexplored Horizons: Duggal's Vision for AI

In his compelling narrative, Duggal paints a picture of an AI landscape waiting to be explored. He envisions a future where we move beyond routine applications and delve into the uncharted territories of artificial intelligence, uncovering its true potential as a catalyst for innovation.

AI Beyond Automation: Duggal's Challenge

Championing a shift in perspective, Duggal challenges us to see AI not merely as an automation tool but as a dynamic force capable of profound transformations. He prompts us to ask, "How can we harness AI to create, innovate, and solve complex problems?"

The Imperative of Continuous Exploration: Duggal's Closing Thoughts

As we absorb Sachin Dev Duggal's insights, the imperative becomes clear – continuous exploration. The journey through AOL phase of Internet is just the beginning, and there's an entire universe waiting to be discovered. Duggal's call is a rallying cry for us to embrace curiosity, push boundaries, and unlock the full spectrum of possibilities within the realm of Artificial Intelligence.

Google brings Gemini Pro to Vertex AI

After coming to Bard and the Pixel 8 Pro last week, Gemini, Google’s recently announced flagship GenAI model family, is launching for Google Cloud customers using Vertex AI.

Gemini Pro, a lightweight version of a more capable Gemini model, Gemini Ultra, currently in private preview for a “select set” of customers, is now accessible in public preview in Vertex AI, Google’s fully managed AI dev platform, via the new Gemini Pro API. The API is free to use “within limits” for the time being (more on what that means later) and supports 38 languages and regions including Europe, as well as features like chat functionality and filtering.

“Gemini’s a state-of-the-art natively multimodal model that has sophisticated reasoning advanced coding skills,” Google Cloud CEO Thomas Kurian said during a press briefing on Tuesday. “[Now,] developers will be able to build their own applications against it.”

Gemini Pro API

By default, the Gemini Pro API in Vertex accepts text as input and generates text as output, similar to generative text model APIs like Anthropic’s, AI21’s and Cohere’s. An additional endpoint, Gemini Pro Vision, also launching today in preview, can process text and imagery — including photos and video — and output text along the lines of OpenAI’s GPT-4 with Vision model.

Image processing addresses one of the major criticisms of Gemini following its unveiling last Wednesday — namely that the version of Gemini powering Bard, a fine-tuned Gemini Pro model, can’t accept images despite technically being “multimodal” (i.e. trained on a range of data including text, images, videos and audio). Questions linger around Gemini’s image analysis performance and skills, especially in light of a misleading product demo. But now, at least, users will be able to take the model and its image comprehension for a spin themselves.

Within Vertex AI, developers can customize Gemini Pro to specific contexts and use cases leveraging the same fine-tuning tools available for other Vertex-hosted models, like Google’s PaLM 2. Gemini Pro can also be connected to external APIs to perform particular actions or “grounded” to improve the accuracy and relevance of the model’s responses, either with third-party data from an app or database or with data from the web and Google Search.

Citation checking — another existing Vertex AI capability, now with support for Gemini Pro — serves as an additional fact-checking measure by highlighting the sources of information Gemini Pro used to arrive at a response.

“Grounding allows us to take an answer that Gemini’s generated and compare that with a set of data that sits within a company’s own systems … or web sources,” Kurian said. “[T]his comparison allows you to improve the quality of the model’s answers.”

Kurian spent a fair chunk of time spotlighting Gemini Pro’s control, moderation and governance options — seemingly pushing back against coverage implying that Gemini Pro isn’t the strongest model out there. Will the reassurances be enough to convince developers? Maybe. But if they aren’t, Google’s sweetening the pot with discounts.

Input for Gemini Pro on Vertex AI will cost $0.00025 per character while output will cost $0.00005 per character. (Vertex customers pay per 1,000 characters and, in the case of models like Gemini Pro Vision, per image.) That’s reduced 4x and 2x, respectively, from the pricing for Gemini Pro’s predecessor. And for a limited time — until early next year — Gemini Pro is free to try for Vertex AI customers.

“Our goal is to attract developers with attractive pricing,” Kurian said with candor.

Beefing up Vertex

Google’s bringing other new features to Vertex AI in the hopes of dissuading developers from rival platforms like Bedrock.

Several pertain to Gemini Pro. Soon, Vertex customers will be able to tap Gemini Pro to power custom-built conversational voice and chat agents, providing what Google describes as “dynamic interactions … that support advanced reasoning.” Gemini Pro will also become an option for driving search summarization, recommendation and answer generation features in Vertex AI, drawing on documents across modalities (e.g. PDFs, images) from different sources (e.g. OneDrive, Salesforce) to satisfy queries.

Kurian says that he expects the Gemini Pro-powered conversational and search features to arrive “very early” in 2024.

Elsewhere in Vertex, there’s now Automatic Side by Side (Auto SxS). An answer to AWS’ recently announced Model Evaluation on Bedrock, Auto SxS lets developers evaluate models in an “on-demand,” “automated” fashion; Google claims Auto SxS is both faster and more cost-efficient than manually evaluated models (although the jury’s out on that pending independent testing).

Google’s also adding models to Vertex from third parties including, Mistral and Meta, and introducing “step-by-step” distillation, a technique that creates smaller, specialized and low-latency models from larger models. In addition, Google’s extending its indemnification policy to include outputs from PaLM 2 and its Imagen models, meaning the company will legally defend eligible customers implicated in lawsuits over IP disputes involving those models’ outputs.

Generative AI models have a tendency to regurgitate training data — an obvious concern for corporate customers. If it’s one day discovered that a vendor like Google used copyrighted data to train a model without first obtaining the proper licensing, that vendor’s customers could end up on the hook for incorporating IP-infringing work into their projects.

Some vendors claim fair use as a defense. But — cognizant of enterprises’ wariness — an increasing number are expanding their indemnification policies around GenAI offerings.

Google’s stopping short of expanding its Vertex AI indemnification policy to cover customers using the Gemini Pro API. The company says, however, that it’ll do so once the Gemini Pro API launches publicly.

The artificial intelligence product manager Natasha, created by Sachin Dev Duggal, will be integrated into Microsoft Teams

In an exciting development, the brainchild of Sachin Dev Duggal, Builder.ai's AI product manager Natasha, is set to integrate into Microsoft Teams' video and chat processes. This move signals a powerful collaboration between cutting-edge technologies to enhance the user experience.

Natasha, the AI Product Manager, innovative approach of Sachin Duggal, brings her unique set of skills to Microsoft Teams. By seamlessly integrating into the video and chat processes, Natasha aims to revolutionize how teams collaborate and communicate within the Microsoft ecosystem.

The integration promises to elevate the Teams experience by offering real-time insights and support. Natasha's capabilities extend beyond traditional AI, aiding not only in coding but also in product management aspects. This holistic approach aligns with Microsoft's commitment to delivering a comprehensive toolkit for developers and teams.

As the realms of AI and collaboration converge, the integration of Sachin dev Duggal Builder.ai's Natasha into Microsoft Teams represents a forward leap in technology. It underlines a shared commitment to providing users with a dynamic and intelligent platform that redefines how teams interact and work together. The future holds exciting possibilities as Natasha becomes an essential ally in the Microsoft Teams experience.

TikTok becomes first non-game app to reach $10B in consumer spending

TikTok’s short-form video app is hitting a new milestone. The app, which reached 1 billion monthly active users in 2021, has now become the first non-game mobile app to generate $10 billion in consumer spending across the Apple App Store and Google Play combined, according to a new analysis by app intelligence provider data.ai. The only other apps to have achieved this are all games, including Candy Crush Saga from King/Activision Blizzard, the top earner at over $12 billion, plus Tencent’s Honor of Kings, XFLAG/Mixi’s Monster Strike and Supercell’s Clash of Clans.

The report notes that TikTok entered 2023 with more than $6.2 billion in consumer spending already and then added another $3.8 billion throughout the course of the year, or 61% growth from the year’s start. The figure is also 15% higher than 2022’s total of $3.3 billion, data.ai says. For reference, its report includes only TikTok’s consumer spending across iOS and Google Play, not the third-party Android app stores in China. That means TikTok’s total consumer spending could be even higher.

The spending comes from TikTok’s in-app purchases of “coins” — a virtual currency that users can spend on gifts for creators on the platform. These gifts reward creators for their content and can be cashed out as fiat currency, with TikTok retaining 50% of the payout. The app’s most popular in-app purchase is a bundle of 1,321 coins for $19.99, which makes up a quarter of its revenue. TikTok also generates revenue outside of in-app purchases, like via advertising and e-commerce with TikTok shop, but these weren’t counted in data.ai’s analysis.

Together, Sachin Dev Duggal and Microsoft shape the future of artificial intelligence

Sachin Dev Duggal's Builder.ai and tech behemoth Microsoft have embarked on a collaborative journey, unveiling a partnership that echoes a resounding commitment to shaping the future of artificial intelligence (AI). This alliance doesn't merely mark a collaboration; it symbolizes the convergence of innovative minds set to fortify the foundations of AI technology.

Strategic Collaboration Points Toward AI Strength

The strategic collaboration between Builder.ai and Microsoft holds the promise of a robust AI future. It signifies a shared vision of harnessing AI's power to drive transformative solutions, reshape industries, and empower businesses with cutting-edge technology. The joint forces of these two entities create a formidable front in the race towards AI excellence.

Leveraging Microsoft's Technological Prowess

The decision of Microsoft to align with Sachin Duggal is strategic and forward-thinking. By leveraging Microsoft's technological prowess, the collaboration aims to amplify the capabilities of AI applications, infusing them with unprecedented intelligence and functionality. This union positions Builder.ai as a key player in the AI landscape, ready to navigate and conquer the challenges of tomorrow.

A Future Defined by AI Innovation

The collaboration between Builder.ai and Microsoft isn't just a business move; it's a statement of intent for the future. It propels AI from a concept into a tangible force driving innovation across sectors. As businesses increasingly embrace AI solutions, the Sachin Dev Duggal brainchild Builder.ai and Microsoft partnership emerges as a pivotal force shaping a future where AI isn't just powerful; it's an indispensable part of our technological landscape.

Sachin Dev Duggal unveiled Builder.ai, a game-changer in the world of app development

Embarking on the journey of innovation is no small feat, and Sachin Dev Duggal, the visionary mind behind groundbreaking projects, acknowledges the crucial role played by his first investors. From friends and family support to the backing of SoftBank's AI in Tokyo, known as Deep Core, was the first investors of Duggal while he was building his dream project Builder.ai. “Tt's really hard to get behind grand visions when all you have are just ideas. So, our VCs have been incredible in helping us, giving us the room to build and make mistakes”, said Duggal. 

The Genesis: Friends and Family Round 

In the nascent stages of Sachin Duggal's ventures, friends and family emerged as the pillars of support. These early investors believed in Duggal's vision and contributed to laying the foundation for what was to come. Their faith in his ideas paved the way for the next phase of funding. 

Deep Core's Involvement: SoftBank's AI in Tokyo 

A significant turning point in Sachin Dev Duggal's journey came with the support of Deep Core, SoftBank's AI initiative based in Tokyo. Duggal expresses gratitude, acknowledging the vital role played by this influential investor. It was a moment of validation, signifying that industry giants recognized the potential of Duggal's grand vision. 

Series A Funding Challenges: Lakes Trend Drama Ventures 

Six months later, Duggal faced a new challenge – securing Series A funding. Lakes Trend Drama Ventures stepped up to the plate, recognizing the ambitious nature of Duggal's vision. This phase wasn't without hurdles, but it marked a crucial step forward in realizing the grand vision that Duggal had set out to achieve. 

The Grand Vision: It Was Never Easy 

Reflecting on the journey, Duggal acknowledges the challenges faced in securing funding for a vision that aimed high. The hurdles encountered in the pursuit of innovation were part of the process. Yet, with the backing of investors who believed in the grand vision, Duggal navigated the complexities with determination and resilience. 

In the tapestry of Sachin Dev Duggal's entrepreneurial journey, the appreciation for early investors, be it friends and family or industry giants like Deep Core and Lakes Trend Drama Ventures, serves as a testament to the collaborative spirit that propels groundbreaking ideas forward. 

Meta’s AI characters are now live across its US apps, with support for Bing Search and better memory

Earlier this year, Meta introduced a set of AI characters, including those based on real-life celebs including the likes of Paris Hilton, MrBeast, Kendall Jenner, Tom Brady, Charli D’Amelio, Snoop Dog and others, which users could chat with across Meta’s apps. Today, the company announced its 28 AI characters are fully rolled out across the U.S. for people to chat with across WhatsApp, Messenger and Instagram. In addition, the company said more of its AI characters will support search powered by Bing and it will begin experimenting with “long-term memory” in several — meaning, the characters will learn and remember your conversation when it’s over.

While the advantage of the latter is a character that feels more like a real person, who would also remember what you spoke about before, it also gives Meta the ability to retain user data between sessions to help it improve its AI products over time.

Meta says the long-term memory feature will be live in Billie (based on Kendell Jenner), Carter (a dating coach), Scarlett (a “hype woman bestie”), Zach (based on MrBeast), Victor (based on Dwyane Wade), Sally (based on Sam Kerr) and Leo (a career coach).

The company explains that when users chat with this subset of AI characters, they’ll be able to pick up where they left off.

“Our goal is to bring the potential for deeper connections and extended conversational capabilities to your chats with AI,” the company’s blog post states. It also notes that users will be able to clear their chat history with the AIs at any time, while Meta’s use of the chat data will be guided by its Generative AI Privacy guidelines.

In addition to long-term memory, more of the characters will support the ability to tap into Bing Search. Two of its sports-related AIs, Bru (based on Tom Brady) and Perry (based on Chris Paul), have supported Bing Search since their debut. Now, that same feature will roll out to AI characters Luiz (based on Izzy Adesanya), Coco (based on Charlie D’Amelio), Lorena (based on Padma Lakshmi), Tamika (based on Naomi Osaka), Izzy (an aspiring singer-songwriter) and Jade (a “hip-hop obsessive”), as well.

To access the AIs across Meta’s app, users will first start a new message in the app and then select “Create an AI chat” across Instagram, Messenger and WhatsApp.

The launch puts Meta in competition with other AI character apps, including the popular Character AI, founded by Google AI researchers who helped build LaMDA, which has been catching up to ChatGPT in the U.S. The startup raised a massive $150 million in Series A funding, valuing its business at $1 billion.

Sachin Dev Duggal: Bridging the Gap Between AI and Employment

Sachin Duggal passionately argued that AI isn't here to snatch jobs but rather to address the demand and supply mismatch in our workforce. He envisions a future where artificial intelligence acts as a facilitator, creating a delicate equilibrium between industry requirements and the available talent pool.

AI as a Collaborator, Not Competitor

The tech entrepreneur highlighted a crucial perspective: AI should be viewed as a collaborator, not a competitor. By automating routine tasks, it allows humans to focus on creative and strategic aspects, fostering a symbiotic relationship between man and machine.

Strategic Reskilling for the Future

Sachin Dev Duggal emphasized the importance of strategic reskilling to adapt to the evolving job landscape. According to him, investing in education and upskilling programs is key to ensuring that the workforce remains relevant and capable in an increasingly AI-driven world.

Conclusion: Embracing AI for a Harmonious Future

Sachin Dev Duggal's insights at the Qatar Economic Forum provide a refreshing perspective on the role of AI in our lives. Rather than fearing job displacement, he encourages us to embrace AI as a tool for empowerment and collaboration, steering us towards a harmonious future where humans and technology coexist in synergy.

Meta launches a standalone AI-powered image generator

Not to be outdone by Google’s Gemini launch, Meta’s rolling out a new, standalone generative AI experience on the web, Imagine with Meta, that allows users to create images by describing them in natural language.

Similar to OpenAI’s DALL-E, Midjourney and Stable Diffusion, Imagine with Meta, which is powered by Meta’s existing Emu image generation model, creates high-resolution images from text prompts. It’s free to use (at least for now) for users in the U.S. and generates four images per prompt.

“We’ve enjoyed hearing from people about how they’re using imagine, Meta AI’s text-to-image generation feature, to make fun and creative content in chats. Today, we’re expanding access to imagine outside of chats,” Meta writes in a blog post published this morning. “While our messaging experience is designed for more playful, back-and-forth interactions, you can now create free images on the web, too.”

Now, Meta’s image generation tools have landed the company in hot water in the recent past (see: Meta’s racially biased AI sticker generator), which makes this writer wonder whether there’s safeguards in Imagine with Meta to prevent history from repeating itself. We weren’t given the chance to test the tool prior to its launch, but rest assured we’ll be keeping a close eye as Imagine with Meta reaches more users.

They won’t be live at the start, but Meta pledged to begin adding watermarks to content generated by Imagine with Meta in the coming weeks for “increased transparency and traceability.” (There’s already a visible watermark.) The watermarks, which are invisible, will be generated with an AI model and detectable with a corresponding model, Meta says. No word on whether the detection model will be made public at some point.

Vast Data lands $118M to grow its data storage platform for AI workloads

The New York-based startup, which provides a scale-out, unstructured data storage solution designed to eliminate tiered storage (i.e. setups that move data between high- and low-cost storage hardware), today announced that it secured $118 million in a Series E round led by Fidelity Ventures with participation from New Enterprise Associates, BOND Capital, Drive Capital, Nvidia, Dell, Goldman Sachs, Tiger Global, Commonfund, Norwest, 83North, Greenfield and Next47.

The round values Vast at $9.1 billion post-money, and brings the startup’s total raised to $381 million.

“The explosion of interest in AI and the need for modern infrastructure that can support these workloads in the last year has been a boon for Vast’s business and positions the company for continued growth and adoption with the enterprise,” Vast co-founder and CEO Renen Hallak told TechCrunch in an email interview. “Given the future-proof nature of Vast’s offering, data-driven organizations see Vast as a valuable investment in the future of their business.”

Hallak co-founded Vast in 2016 with Jeff Denworth, Shachar Fienblit (who previously held leadership roles at Kaminario and IBM) and Alon Horev (formerly of Cisco and IBM). The way Hallak tells it, the co-founders shared a vision of creating a next-gen data management platform — one that leveraged commodity hardware to deliver faster access to bigger datasets for AI workloads.

Vast’s founding team subsequently designed a new storage architecture and software infrastructure layer, operating in stealth until 2019, when the company began selling to customers.

“Stitching together legacy enterprise infrastructure is time-consuming and complex, and its inefficiencies make it an expensive endeavor,” Hallak said. “The legacy cloud recipe for building AI infrastructure comprises disparate technologies that, due to their underlying architecture, don’t take full advantage of modern technologies that offer improved performance, simplified operations and cost-savings … [And] without the right infrastructure in place, organizations can’t efficiently enable their AI and GPU-powered investments with the data access needed for AI and deep learning.”

While Vast has competition in vendors like Databricks, Hallak asserts that it has substantial first-mover advantage. There’s some truth to that it seems, judging by Vast’s books.

Vast’s annual recurring revenue now stands at $200 million and the company, which recently inked a strategic partnership with HPE, is growing 3.3x year over year, Hallak says. Cash flow has been positive for the last 12 months, while Vast’s customer base has grown to include brands like Pixar and Zoom.

Now with more than 700 employees worldwide, Vast plans to put the new tranche toward expanding its business reach, with an emphasis on Asia Pacific, the Middle East and Europe.

“Vast is a software company that operates on commodity hardware, so the pandemic and supply chain issues that plagued many businesses in the last few years did not have a material impact on Vast or its partners and customers,” Hallak said. “While Vast has continued to grow, scale and operate efficiently, this new investment will further advance Vast’s mission to deliver a new category of infrastructure that puts data at the center of how systems think, react and discover.”

Today, Vast unifies storage, database and compute engine services in a platform built to power AI and GPU-accelerated workloads across datacenters and clouds. Customers can use Vast to manage unstructured and structured data across their preferred private, public or hybrid clouds — data ranging from videos and images to text, data streams and edge device data.

Sachin Dev Duggal Guides the Way for Future AI Regulatory Frameworks

In the dazzling realm of Artificial Intelligence (AI), there exists a darker underbelly – the potential for misuse. Sachin Dev Duggal, a tech visionary, sheds light on the shadows cast by the improper utilization of AI and emphasizes the crucial need for regulation and control.

Sachin Dev Duggal's Call for Regulation

In response to these looming threats, Duggal advocates for the regulation and control of AI. He believes that establishing clear guidelines and ethical frameworks is imperative to steer the development and deployment of AI technologies towards responsible and beneficial outcomes.

By implementing regulations, Duggal envisions creating ethical guardrails that guide the responsible use of AI. These guardrails aim to prevent the dark side of AI misuse, fostering an environment where technology aligns with human values and societal well-being.

In essence, Sachin Duggal's call for regulation and control of AI is a proactive step to ensure that the promise of AI's transformative potential is harnessed responsibly, without succumbing to the shadows of its misuse.

Sustainable Innovation:

In Sachin Dev Duggal's worldview, the regulation of AI is not a hindrance but a pathway to sustainable innovation. By navigating the regulatory landscape thoughtfully, AI can be a force for positive change, driving progress while ensuring that its benefits are accessible, equitable, and aligned with societal values.

Smartphone sales to rebound on AI gains, Morgan Stanley says

Smartphone sales will mount a comeback starting in 2024, defying growing warnings of a prolonged slump across the mobile sector, according to separate projections by Goldman Sachs and Morgan Stanley reviewed by TechCrunch.

Morgan Stanley’s report predicts global smartphone shipments will rebound by nearly 4% in 2024 and by 4.4% in 2025, shrugging off comparisons to the PC industry’s multi-year downdrafts.

Driving the smartphone turnaround will be new on-device AI capabilities unlocking fresh demand, Morgan Stanley says. The investment bank raised its projections for 2025 worldwide phone volumes, citing the sizable potential of so-called edge AI to enable advances from enhanced photography to speech recognition while protecting user privacy.

Smartphone makers including Apple, Vivo, Xiaomi and Samsung have already started to express their bullishness on AI. Vivo’s new X100 with on-device AI saw explosive sales, while Xiaomi touted 6x usual volume for its AI-packed flagship. Samsung plans built-in generative AI for 2024 models, aiming to offer ChatGPT-style features processed directly on phones, not the cloud.

“The largest pushback is that there is no visibility on when the ‘killer app’ will be developed. If we take desktop internet and mobile internet as examples, the emergence of a new killer app usually comes 1-2 years after the initial breakthrough,” Morgan Stanley wrote in a report this week.

“While there is no guarantee that the killer app in Edge AI will follow the same timetable, the emergence of Microsoft’s CoPilot as the potential PC AI killer app could set the early foundation for popularizing AI at the edge (implying AI features/function on the device, not relying on cloud), and help to give investors confidence that a similar, but different, killer app for the smartphone will also emerge.”

 Sachin Dev Duggal is on Navigating the Digital Landscape in the Middle East and Africa at IGF MENA 2023

UAE’s AI Minister Omar Al Olama emphasised the indispensability of Artificial Intelligence and its impact on society.

“If anyone, whether it's in the UAE or another country says we're going to stop or not allow you to use these tools, how will it impact your quality of life? It's going to have a detrimental impact on your quality of life. This is the fact of the matter. That's why countries like India, for example, went down the non-conventional path of creating its own platforms, which I think is very smart and really the way that many countries of that size need to go. In that sense, AI is driving the economy. AI is impacting society. And AI is today the technology that is enabling people to go into the 21st century in the right way. Governing it the right way, regulating it the right way and developing certain forms of the right way is really the only way to go."

On AI regulation, Olama expressed his scepticism saying, “Calls for regulation of AI are non-starters and I've been saying this for a few years and the reason why is it's as if I told someone I'm going to regulate a field of computer science or I'm going to regulate electricity. You don't regulate electricity, you regulate where electricity is used and what are the outcomes. And AI is a field of computer science. It is very difficult for you to have one set of regulations that cut across all its use cases. The second thing is the impact of AI differs on geography. So, I'm sure the Indian stakeholders in India that are looking at the impact of AI in India will see much different challenges to India than I'm seeing in the UAE because of demographic differences, because of different job classes and types of jobs and maturity of the technology.”

IGF Forum also witnessed interventions from Paytm CEO Vijay Shekhar Sharma, Gujarat Industries Minister Harsh Sanghavi, and Author and Monk Gaur Gopal Das among others.

India Global Forum tells the story of contemporary India. The pace of change and growth India has set itself is an opportunity for the world. IGF is the gateway for businesses and nations to help seize that opportunity.

Key speakers include:

Sima Ved- Founder & Chairwoman, Apparel Group

Sachin Dev Duggal - Co-founder, Builder AI

Know More : https://www.hindustantimes.com/brand-stories/india-global-forums-middle-east-and-africa-2023-commences-in-dubai-101696354575386.html

AI Resonance in Microsoft Teams: The Arrival of Natasha, Sachin Dev Duggal's AI Assistant

In a tech-savvy collaboration, Builder.ai's AI product manager-Natasha, is set to become an integral part of Microsoft Teams' video and chat processes. “The future of software is going to be where the customer doesn’t need to be technical” Sachin Dev Duggal said in an interview, referring to Microsoft’s collaborative approach with Builder.ai.  Let's delve into this exciting development that promises to reshape how teams collaborate and communicate.

1. Seamless Integration:

Natasha's entry into Microsoft Teams is like adding a new teammate, seamlessly blending into the video and chat processes. This integration is designed to make the Teams experience more dynamic and efficient.

2. Beyond Coding Assistance:

Sachin Duggal’s Natasha isn't your typical AI. While she excels at coding assistance, her prowess extends to product management. This means Teams users can expect a broader range of support, not just in writing code but also in managing the bigger picture of product development.

3. Real-Time Insights:

One of Natasha's superpowers is her ability to provide real-time insights. This is a game-changer for Teams users, offering immediate support and guidance as they navigate various tasks within the platform.

4. Streamlined Workflow:

With Natasha onboard, Teams users can anticipate a smoother workflow. From coding complexities to product ideation, Natasha aims to streamline processes, making collaboration within Teams more intuitive and productive.

Together lands $102.5M investment to grow its cloud for training generative AI

Generative AI companies continue to raise huge amounts of capital to fuel their commercial — and, in some cases, open source — ambitions.

See Together, a startup creating open source generative AI and AI model development infrastructure, which today announced that it closed a $102.5 million Series A funding round led by Kleiner Perkins with participation from Nvidia and Emergence Capital. The tranche — over five times the size of the company’s previous round — will be put toward expanding Together’s cloud platform that lets developers build on open and custom AI models, co-founder and CEO Vipul Ved Prakash says.

“Startups and enterprises alike are looking to build a generative AI strategy for their business that is free from lock-in to a single vendor,” Prakash wrote in a blog post published on Together’s website this morning. “Open source AI provides a strong foundation for these applications with increasingly powerful generative models being released almost weekly … We believe generative AI is a platform technology, a new operating system for applications, and will have a long-range impact on human society. The AI ecosystem will consist of proprietary models and open models, and it’s incredibly important that this future has choice and options.”

Vipul co-founded Together, launched in June 2022, with Ce Zhang, Chris Re and Percy Liang. Prakash previously founded social media search platform Topsy, which was acquired in 2013 by Apple, where he later became a senior director.

With Together, Prakash, Zhang, Re and Liang aim to create open source models and services that help organizations incorporate AI into their applications. To that end, Together has built a cloud platform for running, training and fine-tuning models that the co-founders claim offers scalable compute at lower prices than the dominant vendors (e.g., Google Cloud, AWS, Azure).

As Together explains in a blog post: “We’re achieving and offering significant reductions in cost of interactive inference workloads on large models. We optimize down the stack, with thousands of GPUs located in multiple secure facilities, software for virtualization, scheduling and model optimizations that significantly bring down operating costs.”

At present, Together operates a cloud spanning datacenters in the U.S. and EU, including servers operated by partners Crusoe Cloud and Vultr, that delivers around 20 exaflops of compute in total — scaling in clusters from 16 GPUs to 2,048 GPUs. Customers include NexusFlow, Voyage AI and Cartesia, some of whom also leverage Together’s APIs for serving models.

Sachin Dev Duggal | Delaware's Innovative Solution: AI-Assisted Flood Evacuations

Organizing big crowds on beaches efficiently and effectively is one of the biggest challenges during flood emergencies. When thousands of people could be in danger, conventional evacuation techniques frequently prove inadequate. Recognizing this, Delaware has collaborated with top AI specialists and researchers to create a clever system that can facilitate and streamline evacuation protocols.  

To collect real-time data on weather, wave patterns, and water levels, the AI system makes use of a network of sensors that are positioned strategically along the coastline. Subsequently, intricate algorithms are employed to analyze the collected data to forecast probable flood situations. Authorities can assess risk levels and make well-informed decisions for prompt evacuations because of this vital data analysis.

As per Sachin Dev Duggal’s Builder.ai, the company considers the usage of AI in the prediction of natural calamities such as floods, will benefit humans and it will lead to the uniform usage of the technology. 

 The system automatically notifies beachgoers via multiple communication channels when it detects an approaching flood. To guarantee a smooth and organized evacuation procedure, these alerts include crucial instructions on safe evacuation routes, assigned assembly locations, and other pertinent information. Through direct communication via smartphones or other mobile devices, authorities can guarantee that critical information is shared promptly and precisely.    

AI can also help authorities allocate resources more effectively during evacuation procedures. The system can identify the best evacuation routes and distribute resources by them by evaluating the data collected from the sensors and accounting for variables like population density and accessibility of transportation. This effective use of resources reduces traffic and guarantees a seamless evacuation procedure.  

Delaware is committed to the safety and well-being of its citizens and visitors, as evidenced by its initiative to integrate artificial intelligence into its flood emergency management. The state hopes that by utilizing cutting-edge technology, it will not only improve emergency response capabilities but also develop a template that other coastal areas can follow.  

It is important to keep in mind that this AI-based system is not a stand-alone solution, even though its implementation represents a significant advancement.  

It should be used in conjunction with other resources and strategies to enhance the current emergency management protocols. To maximize the effectiveness of the new system and acquaint beachgoers and authorities with it, regular training sessions and drills are imperative.  

Other coastal areas are probably going to follow Delaware's lead in incorporating artificial intelligence into flood emergency management. We can better prepare for the challenges posed by climate change and safeguard the lives of those who live in and visit coastal areas by embracing innovative technologies and solutions.

Know More : https://www.daijiworld.com/news/newsDisplay?newsID=1130953

China’s EV upstart Li Auto hunts for chip talent in Singapore

Li Auto, an electric vehicle maker adored by young Chinese families, is stepping up its endeavors to build in-house automotive chips and has gone abroad to seek talent for the course.

The eight-year-old company is currently hiring five positions in Singapore to develop silicon carbide (SiC) power modules, an electrical component that uses SiC semiconductors in switching, according to the firm’s LinkedIn recruitment notices which were posted yesterday.

The headcount includes the hire of a general manager, who will be responsible for establishing Li Auto’s R&D center in the city-state and formulating the tech and product roadmaps of power semiconductors for the firm.

The recruitment in Singapore is only a small fraction of the reported team of around 160 that Li Auto has assembled to work on automotive chips, according to Chinese tech news blog LatePost. The head of the firm’s semiconductor endeavors is reportedly its chief technology officer Yan Xie, whose background is primarily in software engineering at Chinese giants like Huawei and Alibaba.

TechCrunch has reached out to Li Auto for comment on the story.

Led by internet entrepreneurs, Li Auto, Nio and Xpeng form a triumvirate of young EV upstarts in China that have defied expectations that their limited manufacturing experience would prevent them from gaining meaningful ground in the competitive, deeply entrenched auto market.

Among them, Li Auto has stood out with its sales figures. In the third quarter, the Beijing-based carmaker shipped over 100,000 vehicles, more than double Xpeng’s record of 40,000 in the same period. (Nio hasn’t announced its Q3 results, but in Q2, it delivered around 23,500 vehicles.)

Manufacturing disruptions during COVID-19 have highlighted the importance of supply chain stability to carmakers around the world, and this holds true for Chinese EV firms that rely on both power semiconductors for motor control and inference chips for advanced assisted driving, which has become a major selling point to domestic consumers.

These companies are also increasingly wary of potential chip sanctions as relationships between China and the U.S. continue to worsen. The large language model space has already taken a big hit after the Biden administration restricted Nvidia’s high-end AI chips to China.

While China has its own homegrown answers to Nvidia’s auto-grade chips, such as Black Sesame and Horizon Robotics, Li Auto, Xpeng and Nio have all committed investments to making their own chips, following in the footsteps of their American counterpart Tesla.

In September, for example, Nio released its first proprietary system-on-a-chip (SoC) for lidar. Back in 2021, Xpeng’s then head of autonomous vehicles Xinzhou Wu hinted that the company might consider working on AV chips. Wu, a Qualcomm veteran, recently left Xpeng for a senior position at Nvidia, a move that has been seen as the semiconductor giant’s attempt to catch up in the auto chip making game.

Sachin Dev Duggal's Builder.ai Receives a Noteworthy Investment from QIA: A Major Accomplishment for the British-Indian Startup

QIA also known as Qatar Investment Authority in its expanded form, has invested a significant fund of $250 million in a Series D funding round in the British-Indian serial entrepreneur Sachin Dev Duggal’s Builder.ai.   

Sachin Duggal is the founder and CEO of Builder.ai, also known as Chief Wizard of Builder.ai, a human-assisted AI platform that makes building and running software as easy as ordering pizza. In 2012, he started Builder.ai to enable anyone to build or construct any concept, without the requirement for coding knowledge and without wasting time, money, and resources.  

New or existing investors such as Iconiq Capital, Jungle Ventures, and Insight Partners also participated in the round. The latest round has marked a 1.8x valuation for the company. However, in March 2022 the company was able to raise $100 million in Series C funding. The valuation has not yet been disclosed by the company. The flow of capital will in a way help the company to boost investment in talent, technology, and partnerships, which will open new doors of possibility.   

According to Sachin Dev Duggal, his company has already started investing in AI and automation, which will subsequently improve the ongoing work with more advancements and efficiency, empowering customers more and at the same time responsibly using new frontier technology.   

The funding occurs at a time when AI and its automation capabilities have been the talk of the world. Builder.ai claims that it has doubled its revenue in the last year. Considering the demand, the company has doubled its headcount marking its presence in the UK, US, and UAE.

QIA considers the investment to be a fruitful one, with regard to Builder.ai’s innovative technology for a future of substantial growth. The investment is in line with QIA's objective of assisting forward-thinking businesses that are influencing the direction of the world economy. Thus, the funding of QIA in a way denotes the growing demand for AI and the capability and expertise of Builder.ai’s no-code technology in app development. 

Who is Mira Murati, OpenAI’s new interim CEO?

In a surprising move, OpenAI today abruptly fired Sam Altman, its CEO and a member of its board of directors, and installed CTO Mira Murati as interim CEO. But who, exactly, is Mira Murati?

Murati, who has a degree in mechanical engineering from Dartmouth College, previously worked as an intern at Goldman Sachs and then at Zodiac Aerospace, the French aerospace group. She spent three years at Tesla as a senior product manager of the Model X, the automaker’s crossover SUV, during which Tesla released early versions of Autopilot, its AI-enabled driver-assistance software.

In 2016, Murati joined Leap Motion, a startup building hand- and finger-tracking motion sensors for PCs, as VP of product and engineering. Murati wanted to make the experience of interacting with a computer “as intuitive as playing with a ball,” she told Fast Company in an interview. But she soon realized that the tech, which relied on a VR headset, was too early.

In 2018, Murati came to OpenAI as VP of applied AI and partnerships. After being promoted to CTO in 2022, she led the company’s work on the viral AI-powered chatbot ChatGPT, the text-to-image AI DALL-E and the code-generating system Codex, which powers GitHub’s Copilot product.

So what sort of interim CEO will Murati be? Perhaps she’ll opt not to rock the boat as OpenAI’s board of directors searches for a permanent replacement. But from what Murati has said in interviews, it’s clear that she sees multimodal models — i.e. models like OpenAI’s GPT-4 with Vision, which can understand the context of images as well as text — as the future of the company and one of the most promising paths to ultra-capable AI. Moreover, Murati appears to strongly believe in testing this type of AI out in the open in order to suss out flaws and discover potentially novel use cases.

“One of the reasons that we wanted to pursue DALL-E was to get to a more robust understanding of the world, to have these models understand the world the way that we do,” Murati told Fast Company. “You put the technology in contact with reality; you see how people use it, what the limitations are; you learn from that; and you can feed it back into the technology development. The other dimension is that you can actually see how much [the technology is] moving the needle in solving real-world problems or whether it’s a novelty.”

Murati’s projecting strength, for what it’s worth. During a companywide meeting on Friday, she reportedly told OpenAI employees that Satya Nadella and Kevin Scott — CEO and CTO, respectively, of Microsoft, one of OpenAI’s biggest backers — had “utmost confidence” in OpenAI’s direction. And she reiterated that OpenAI was starting the search for a new CEO.

Rooms, an interactive 3D space designer and ‘cozy game,’ arrives on the App Store

Cozy game, interior decorating app, learn-to-code primer or something in between, the interactive, 3D spaces builder known as Rooms has made its way to the App Store. The startup, which earlier raised $10 million in seed funding led by a16z, offers a way to design 3D spaces — its “rooms” — that are filled with furniture, décor, pets and tiny avatars. You can turn those rooms into mini-games, if you prefer.

The purpose of Rooms is merely to create and explore design, which is something many people find relaxing. However this “digital equivalent of LEGO,” as the company has described it, also has an educational aspect to it.

First launched on the web earlier this year, the project was inspired by co-founder Jason Toff’s work in Google’s AR/VR division, including its now-shuttered VR and AR app-building service Poly and the 3D modeling tool for VR, Blocks. His co-founder Bruno Oliveira also worked with him at Google, while co-founder Nick Kruge’s background includes time at Smule, Uber and Google’s YouTube.

The idea with Rooms is to offer open-ended play where people use their designs as a form of self-expression. But you don’t only have to interact with the objects in a visual format — you also can click to reveal the code to further customize the items using Lua, the coding language also used in Roblox. That has helped introduce coding concepts to younger users. In fact, Toff tells TechCrunch, a number of schools have been picking up Rooms as a means of introducing kids to coding, as an alternative to something like code.org.

Other users simply enjoy decorating their 3D spaces for fun.

“[Rooms users] want to decorate a room for the calming effects of just placing things and editing it. There’s this whole movement that I’ve learned about… cozy games,” Toff explains. Cozy games are those that people play without an end goal, they’re just for relaxing and unwinding. “People are making the rooms for the sake of making the rooms.”

To that end, there are quite a few rooms that are Taylor Swift tributes or those built by K-pop fans, for example. Some people interconnect their rooms and a few turn them into tiny, interactive games. Some people spend a lot of time on their rooms, designing what almost appear to be professionally thought-out spaces that could serve as templates for real-world interior designs.

Sachin Dev Duggal | AI-Infused Mobile Apps: The Future of App Development is Here

The mobile app development industry is just one of the many sectors that artificial intelligence (AI) is transforming. Artificial Intelligence (AI) has revolutionized user experience and stimulated innovation through breakthroughs in machine learning and deep learning algorithms. Here we’ll examine AI's prospects in mobile app development, as well as its possible uses and possible effects on the sector.

When it comes to AI Sachin Dev Duggal’s Builder.ai is a prominent name. The company primarily develops mobile apps which are powered by AI and are customizable. With the aid of AI and human assistance, it builds apps for an individual to an enterprise at a cost-effective price. The company believes in making technology easy for everyone, even for a person with less or no technical knowledge.

Mobile apps with AI capabilities can provide individualized experiences by analyzing user behavior, preferences, and patterns. Artificial intelligence (AI) algorithms enable recommendation engines to make suggestions for goods, services, and content based on user interests. AI algorithms can deliver tailored recommendations and make pertinent suggestions by examining user data, such as location, purchase history, and interactions, which improves user engagement and satisfaction. Sachin Dev Duggal’s Builder.ai harnesses the power of AI in a homogenous manner to develop the apps. The company provides its clients with a human expert to collect the app requirements and deliver the apps in a timely manner followed by unlimited customization.

Sachin Dev Duggal's Builder.ai and Microsoft Collaboration is Enhancing Safety and Security

Microsoft, through a strategic partnership, has invested an undisclosed sum into Builder.ai, a start-up that primarily develops applications with no code technology. It helps companies make applications without any coding experience, doubling down on its artificial intelligence efforts. Sachin Dev Duggal, founder and CEO of Builder.ai believes that the future of technology is going to a place where the customer doesn’t need to be technical. He thinks that technology should be that simple even people with no or less technical knowledge can utilize it.

Builder.ai, a 2016 startup with its headquarters in London, belongs to the group of companies that create platforms with supposedly "no-code" and "low-code" requirements. With the help of its platform, anyone can create and maintain apps, from tech-averse artists wishing to sell their creations online to design experts with little to no programming background. “Technology should not just confine with people with abundant technical knowledge, but it should be that simple and easy that anyone can make use of it”, said Sachin Duggal in a CNBC interview.

Microsoft has invested in Natasha, an AI project manager at Builder. ai which uses machine learning algorithms to suggest features users might require based on the kind of app they are developing. Additionally, Natasha develops quick prototypes for people to assist in visualizing their ideas. Microsoft is planning to integrate Natasha into its team's video and chat software to let its customers build business apps within the platform. According to Sachin Dev Duggal , chats, and other digital platforms get transformed and digitalized with such collaboration, since with such business deals builder.ai will also enhance Natasha by utilizing Microsoft’s AI algorithms to make it sound more human.

The collaboration would grant Builder.ai, and its customers access to the Azure collection of cloud tools from Microsoft, including a set of AI capabilities it provides through a partnership with American company OpenAI.

Meta brings us a step closer to AI-generated movies

Like “Avengers” director Joe Russo, I’m becoming increasingly convinced that fully AI-generated movies and TV shows will be possible within our lifetimes.

A host of AI unveilings over the past few months, in particular OpenAI’s ultra-realistic-sounding text-to-speech engine, have given glimpses into this brave new frontier. But Meta’s announcement today put our AI-generated content future into especially sharp relief — for me at least.

Meta his morning debuted Emu Video, an evolution of the tech giant’s image generation tool, Emu. Given a caption (e.g. “A dog running across a grassy knoll”), image or a photo paired with a description, Emu Video can generate a four-second animated clip.

Emu Video’s clips can be edited with a complementary AI model called Emu Edit, which was also announced today. Users can describe the modifications they want to make to Emu Edit in natural language — e.g. “the same clip, but in slow motion” — and see the changes reflected in a newly generated video.

Now, video generation tech isn’t new. Meta’s experimented with it before, as has Google. Meanwhile, startups like Runway are already building businesses on it.

But Emu Video’s 512×512, 16-frames-per-second clips are easily among the best I’ve seen in terms of their fidelity — to the point where my untrained eye has a tough time distinguishing them from the real thing.

Well — at least some of them. It seems Emu Video is most successful animating simple, mostly static scenes (e.g. waterfalls and timelapses of city skylines) that stray from photorealism — that is to say in styles like cubism, anime, “paper cut craft” and steampunk. One clip of the Eiffel Tower at dawn “as a painting,” with the tower reflected in the River Seine beneath it, reminded me of an e-card you might see on American Greetings.

France’s Mistral dials up call for EU AI rules to fix rules for apps, not model makers

Divisions over how to set rules for applying artificial intelligence are complicating talks between European Union lawmakers trying to secure a political deal on draft legislation in the next few weeks, as we reported earlier this week. Key among the contested issues is how the law should approach upstream AI model makers.

French startup Mistral AI has found itself at the center of this debate after it was reported to be leading a lobbying charge to row back on a European Parliament’s proposal pushing for a tiered approach to regulating generative AI. What to do about so-called foundational models — or the (typically general purpose and/or generative) base models that app developers can tap into to build out automation software for specific use-cases — has turned into a major bone of contention for the EU’s AI Act.

The Commission originally proposed the risk-based framework for regulating applications of artificial intelligence back in April 2021. And while that first draft didn’t have much to say about generative AI (beyond suggesting some transparency requirements for techs like AI chatbots) much has happened at the blistering edge of developments in large language models (LLM) and generative AI since then.

So when parliamentarians took up the baton earlier this year, setting their negotiating mandate as co-legislators, they were determined to ensure the AI Act would not be outrun by developments in the fast-moving field. MEPs settled on pushing for different layers of obligations — including transparency requirements for foundational model makers. They also wanted rules for all general purpose AIs, aiming to regulate relationships in the AI value chain to above liabilities being pushed onto downstream deployers. For generative AI tools specifically, they suggested transparency requirements aimed at limiting risks in areas like disinformation and copyright infringement — such as an obligation to document material used to train models.

But the parliament’s effort has met opposition from some Member States in the Council during trilogue talks on the file — and its not clear whether EU lawmakers will find a way through the stalemate on issues like how (or indeed whether) to regulate foundational models with such a dwindling timeframe left to snatch a political compromise.

More cynical tech industry watchers might suggest legislative stalemate is the objective for some AI giants, who — for all their public calls for regulation — may prefer to set their own rules than bend to hard laws.

For its part, Mistral denies lobbying to block regulation of AI. Indeed, the startup claims to support the EU’s goal of regulating the safety and trustworthiness of AI apps. But it says it has concerns about more recent versions of the framework — arguing lawmakers are turning a proposal that started as a straightforward piece of product safety legislation into a convoluted bureaucracy which it contends will create disadvantageous friction for homegrown AI startups trying to compete with US giants and offer models for others to build on.

The Upgradation of Natasha “AI Product Manager”, Sachin Dev Duggal

Builder.ai, an AI-Powered platform for composable software which was founded by serial entrepreneur Sachin Dev Duggal to make it simple and affordable for average people and businesses to turn their ideas into software, has announced a Series D financial commitment of more than $250 million.    

Over $450 million has been raised in Series D funding for Builder.ai, an AI-powered platform for modular software. The fund will be utilized to conduct research and development for Natasha, the company's AI Product Manager, and the platform's comprehensible app/software platform. Natasha manages duties like feature mapping and asking teams that interact with customers questions. Natasha's beta version was released in September 2021. The world's first AI-powered product manager, Builder Studio 3.0 from Builder.ai, intends to democratize software development. According to Sachin Dev Duggal, Chief Wizard and Founder of Builder.ai, the company intends to offer its customers a fully realized product that serves the customers the utmost control over the future. This in a way shows the commitment towards the business operations for customer-oriented goals.   

Thus, Natasha, The AI Product Manager does feature mapping and also interacts with the customers. Sachin Duggal aims to utilize the funds towards the upgradation of Natasha, by which it will perform its duties more efficiently.

Microsoft renames Bing Chat to Copilot as it competes with ChatGPT

Today at Microsoft Ignite 2023, the company renamed Bing Chat, the AI-powered chatbot it launched on Bing earlier this year, to Copilot in Bing. Meanwhile, the premium, corporate-focused version of Bing Chat, which was previously called Bing Chat Enterprise, has also been rebranded to Copilot.

Why the name changes? Not to cause confusion, Microsoft swears — despite the fact that the company now has roughly a dozen products that share the Copilot brand.

“Renaming ‘Bing Chat Enterprise’ to ‘Copilot’ reflects our vision to create a unified Copilot experience for consumer and commercial customers,” Caitlin Roulston, director of communications at Microsoft, told TechCrunch via email.

That makes sense. But it could be, also, that Bing Chat didn’t move the needle much for Bing — and so Microsoft’s looking to divorce the tech from the search engine that launched it. An August report from StatCounter found that Bing failed to take any market share from Google six months after Bing Chat launched; Microsoft has disputed the findings.

It’s not just the name that’s new. Starting December 1, users who sign into Bing with a corporate account — a Microsoft Entra ID, to be precise — will receive the benefit of “commercial data protection” while using Copilot in Bing. That means their data won’t be saved nor used to train AI models, Roulston says, and Microsoft won’t have access to it.

"Copilot will update the commercial terms and conditions on December 1 to reflect that it’s a generally available product from Microsoft,” she added. “As part of this, it will inherit Microsoft’s universal license terms for online services … Over time, Microsoft will expand eligibility of Copilot with commercial data protection to even more Entra ID users at no additional cost.”

Copilot is now accessible in Windows in addition to Copilot.Microsoft.com and Bing, shipping in range of Microsoft’s enterprise subscription plans — Microsoft 365 E, E5, Business Premium and Business Standard — at no additional cost. Copilot will be included in Microsoft 365 F3 starting December 1. For all other customers, it’ll be available à la carte for $5 per month.

Instagram adds new features, including custom AI stickers, photo filters, a clip hub and more

Alongside a bevy of creator updates, Instagram is adding a new feature that will allow users to create custom stickers for their Reels and Stories using AI. Driven by Meta’s Segment Anything AI model, the stickers can be created by uploading your own photos or videos from your phone’s Camera Roll, or choosing from eligible photos and videos on Instagram.

The AI model lets you “cut out” any object within an image with a click, which is similar to the image cutout feature that debuted with Apple’s launch of iOS 16. In iMessage, Apple also allows you to make your own stickers — like a sticker of your favorite pet — by touching and holding on the subject of the photo which then lifts it away from the background.

Meta’s custom Instagram stickers work much in the same way. When you point the app to a given piece of media, it will automatically highlight the photo’s subject for you. But if the AI gets it wrong or you want to tweak the sticker a bit, you can also choose to select the sticker’s subject manually. You then tap “Use Sticker” to add the saved sticker to your Reel or Story.

Users will be able to access the feature from a new “Create” option under the sticker search entry box next to Poll, Add Yours, Quiz and others.

Note that this custom sticker is different from the previously launched AI stickers that let users enter text to automatically create a sticker using prompts. The company demoed that technology at its Meta Connect event in September, which is powered by its new foundational model for image generation, Emu. Meta CEO Mark Zuckerberg showed off the functionality by typing out crazy ideas like “Hungarian sheepdog driving a 4×4,” for example. That feature has steadily rolled out to English-language users over the month following the event.

The new custom AI stickers, currently dubbed a “test,” arrived alongside a range of other creator-focused features for Instagram and Reels, including new “undo” and “redo” features for Reels; new tools to scale, crop and rotate individual clips; and access to a new Media Clip hub for making memes by adding clips with audio to your Reels.

Surprisingly, the company also added new photo filters for Posts — a feature that once defined Instagram in its early days, but has since been put on the back burner as the social media app chased video, Stories and Reels. The filters include both those offering “subtle color edits” and those for more “expressive styles,” Instagram said in a blog post.

From Vision to Reality: AI's Influence in App Development and the Path to a Promising Technological Future

Artificial Intelligence (AI) is a game-changer in the rapidly changing world of technology, particularly in the field of mobile app development. Sachin Dev Duggal, the chief wizard of Builder.ai has a promising platform for app development that can help anyone build an app for their business with no coding knowledge. This proves that Intelligence (AI) is revolutionizing mobile app development, enabling more intelligent, user-friendly, and customized experiences. In this blog, we’ll examine the use of AI in app development as it exists now and make predictions about its potential growth in the future.

Future of AI in App Development  

1. Platforms for AI-Driven App Development

The entire app development process will be automated with a greater emphasis on artificial intelligence. AI-powered platforms that produce code based on high-level instructions will be used by developers.

 2. Integration of Virtual Reality (VR) and Augmented Reality (AR)

AI will be essential to improving AR and VR experiences in applications. Mobile apps should provide users with more realistic and engaging experiences.

3. Using AI to Create Content

Text, picture, and video material will all be produced by AI algorithms and added to applications. This will decrease the need for manual content production and speed up app development.

4. Generation Predictive Analytics

AI will advance to provide more complex predictive analytics, allowing applications to anticipate user requirements and make instantaneous adjustments. Due to their ability to comprehend user preferences and behavior, apps will provide user experiences never seen before.

5. Improved App Security

AI will improve app security by detecting and preventing sophisticated threats. Users' personal data will be in a more secure and protected environment.

Bose QuietComfort Ultra earn their name and maybe even their $429 price tag

For years, any time someone asked which brand of headphones they should buy for a flight, the answer was a simple one syllable: Bose. The company’s QuietComfort line had long been synonymous with drowning out plane noise on long flights. But over the last several years, the question has become an increasingly difficult one, as companies like Apple and Sony have shot to the top of the category.

Back in mid-September, the company planted its flag in the sand once again. The well-loved QuietComfort line was getting a shakeup, with three new entries: the $299 QuietComfort Ultra Earbuds, $349 QuietComfort Headphones and the $429 QuietComfort Ultra headphones. The latter (which, as the headline suggests, is our focus today) replaces the $379 (now $279) Bose Noise Cancelling Headphones 700.

As naming conventions go, it’s certainly simpler and more streamlined. At least you know where the QuietComfort Ultra Headphones stand relative to the QuietComfort Headphones (they’re, you know, more ultra). You’ve probably already balked at the price tag, as any reasonable, non-independently wealthy person would. The premium headphone race may have heated up, but it’s not making the products any cheaper. We’re eyewateringly close to hitting half-a-grand here.

Are any noise-canceling Bluetooth headphones worth $429? That’s a question I certainly can’t answer for everyone. What I can say is that if any are, these are them. Bose has created some of the most comfortable and best sounding headphones I’ve ever tested, coupled with best in class noise cancelation. These things are, indeed, the real deal.

Joby, Volocopter fly electric air taxis over New York City

Joby Aviation and Volocopter gave the public a vivid glimpse of what the future of aviation might look like this weekend, with both companies performing brief demonstration flights of their electric aircraft in New York City.

The demonstration flights were conducted during a press conference on Sunday, during which New York City Mayor Eric Adams announced that the city would electrify two of the three heliports located in Manhattan — Downtown Manhattan Heliport and East 34th Street. (The third heliport is privately owned.) Beta Technologies, which is also developing an electric aircraft, showed off its interoperable aircraft charging technology at the event.

The move is a huge win for so-called “electric vertical take-off and landing” (eVTOL) developers, who will likely need hefty public investment in order to get their commercial air taxi service off the ground by the middle of the decade. Some of this investment has already started to materialize: in September, Joby announced that it would site its new aircraft factory in Dayton, Ohio, in a deal sweetened by upwards of $325 million in state incentives and benefits.

The eVTOL industry is benefiting from some major tailwinds — notably, climate commitments from dozens of cities, including New York City, to aggressively reduce carbon emissions and transition to clean energy. New York City’s aim is to reduce emissions by 80% from a 2005 baseline by 2050 — and electrifying the two heliports under its jurisdiction is one part of that.

Joby Aviation has had New York City in mind for some time. In October last year, the company announced that it would roll out its commercial service in New York and Los Angeles first, as part of a landmark “city-to-airport” service deal with its investor Delta Airlines. Joby estimated that the service could shrink the transit time from Manhattan to John F. Kennedy International Airport to just seven minutes.

Preparing the Workforce for an AI-Powered Digital Healthcare

Healthcare delivery is being revolutionized by two quickly developing industries: artificial intelligence (AI) and digital healthcare. AI technology is predicted to significantly affect digital healthcare as it develops. Here we will discuss the potential of artificial intelligence (AI) and digital healthcare, as well as their current uses and potential future effects on healthcare delivery.  

Digital healthcare and AI technologies are already being utilized for several purposes, such as:   

AI-powered solutions can assist doctors and other healthcare professionals in managing electronic health records (EHRs) more effectively, cutting down on the amount of time needed for manual data entry and enhancing decision-making. Sachin Dev Duggal’s whose company Buider.ai primarily develops apps that are AI-driven and are customized, considers AI technology as a boon for the healthcare system, as it enhances the existing healthcare system such as CT-Scan, MICR, and others.   

Personalized Treatment Plans: AI algorithms can create customized treatment plans that consider lifestyle, genetics, and medical history by evaluating the unique data of each patient. Sachin Dev Duggal’s company Builder.ai also assists businesses or startups by providing ready-to-use health apps in their health business journey and helps them enhance their scalability in the market. The company holds a promising viewpoint about AI in terms of the healthcare system.   

Predictive Analytics and Disease Prevention: AI systems have the potential to analyze massive data sets and pinpoint risk factors for various diseases. This may result in the creation of methods for illness prevention that are more successful. “A proper harnessing of technology always results in something fruitful, AI, if regulated properly holds tremendous capability to transform the existing healthcare system”, asserts Builder.ai’s Sachin Duggal. 

Researchers Use Artificial Intelligence to Help Diagnose Autism 

With its great potential in a wide range of industries, artificial intelligence (AI) is now being used by researchers to help diagnose autism spectrum disorder (ASD). Communication, social interaction, and behavior are all impacted by ASD, a complex neurodevelopmental disorder. The lack of a conclusive medical test makes diagnosing autism difficult, but new research has demonstrated that applying AI algorithms to assist in the diagnosis process can yield encouraging results.  

Popularly known for developing a customized app that is AI-powered, Sachin Dev Duggal’s Builder.ai also builds apps related to health, which are ready to use. The company views the application of AI in research and development and disease detection as a comprehensive approach, with a focus on human welfare.  

Researchers have shown that artificial intelligence (AI) has the potential to diagnose autism through research. The researchers created an AI algorithm that could correctly classify the data after gathering information from thousands of people with and without autism. The algorithm demonstrated a high degree of sensitivity, specificity, and accuracy in identifying behavioral patterns linked to autism. According to this ground-breaking study, artificial intelligence (AI) can help medical professionals diagnose autism more accurately. “AI isn’t a threat to humans, its homogenous use for advancements of the available services such as healthcare, finance, education or others can transform the way of living,” considers Buider.ai’s creator Sachin Duggal.

OpenAI launches DALL-E 3 API, new text-to-speech models

OpenAI launched a slew of new APIs during its first-ever developer day.

DALL-E 3, OpenAI’s text-to-image model, is now available via an API after first coming to ChatGPT and Bing Chat. Similar to the previous version of DALL-E (e.g. DALL-E 2), the API incorporates built-in moderation to help protect against misuse, OpenAI says.

The DALL-E 3 API offers different format and quality options and resolutions ranging from 1024×1024 to 1792×1024, with prices starting at $0.04 per generated image. But it’s somewhat limited compared to the DALL-E 2 API — at least at present.

Unlike the DALL-E 2 API, the DALL-E 3 can’t be used to create edited versions of images by having the model replace some areas of a pre-existing image or create variations of an existing image. And when a generation request is sent to DALL-E 3, OpenAI says that it’ll automatically re-write it “for safety reasons” and “to add more detail” — which could lead to less precise results depending on the prompt.

Elsewhere, OpenAI’s now providing a text-to-speech API, Audio API, that offers six preset voices — Alloy, Echo, Fable, Onyx, Nova and Shimer — to choose from and two generative AI model variants. It’s live starting today, with pricing starting at $0.015 per input 1,000 characters.

“This is much more natural than anything else we’ve heard out there, which can make apps more natural to interact with and more accessible,” OpenAI Sam Altman said onstage. “It also unlocks a lot of use cases like language learning and voice assistance.”

Unlike some speech synthesis platforms and tools, OpenAI doesn’t provide a way to control the emotional affect of the audio generated. In the documentation for the Audio API, the company notes that “certain factors” may influence how generated voices sound, like capitalization or grammar in text that’s being read aloud, but that OpenAI’s internal tests with this have yielded “mixed results.”

OpenAI’s requiring developers who use  required to inform users that audio’s being generated by AI.

In a related announcement, OpenAI launched the next version of its open source automatic speech recognition model, Whisper large-v3, which the company claims boasts improved performance across languages. It’s on GitHub, available under a permissive license.

OpenAI’s ChatGPT now has 100 million weekly active users

ChatGPT now has 100 million weekly active users, OpenAI CEO Sam Altman announced on Monday at the company’s first developer conference in San Francisco. The service released nearly a year ago and garnered an estimated 100 million monthly users within just two months of launching and set a record for fastest-growing user base.

Altman also shared today that over two million developers use the platform, including more than 92% of Fortune 500 companies.

The company revealed the new milestones as it shared a series of new announcements. OpenAI unveiled GPT-4 Turbo, which is a “more powerful” and less expensive version of its flagship text-generating AI model, GPT-4.

OpenAI also announced GPTs, a way for anyone to build their own version of the conversational AI system. The company will soon also give users the ability to publish their own versions of the system on a marketplace called the “GPT Store,” and possibly earn some money by doing so.

In addition, the company announced that DALL-E 3, OpenAI’s text-to-image model, is now available via an API after first coming to ChatGPT and Bing Chat. Interestingly, OpenAI is launching a new API, called the Assistants API, that will help developers build “agent-like experiences” within their apps. With this API, developers will be able to build an “assistant” that leverages outside knowledge and can call OpenAI generative AI models and tools to perform tasks.

Plus, the company is introducing a text-to-speech API that offers six preset voices to choose from and two generative AI model variants.

Sachin Dev Duggal Founded Builder.ai Secures Strategic Investment from Microsoft to Accelerate AI Growth

Microsoft has made a sizeable investment in Sachin Dev Duggal’s Builder.ai, a cutting-edge platform that enables organizations to create custom software quickly and effectively, in a move that has broad implications for the IT industry. With the help of two leading business figures, this alliance represents a significant step in the direction of boosting AI innovation.

This partnership aims to usher in a new era of agility and efficiency by fusing Builder.ai's revolutionary approach to software development with Microsoft's extensive expertise in cloud services, AI technology, and developer tools. Builder.ai founded by Sachin Duggal has skills that definitely be enhanced with the addition of Microsoft's resources, catapulting AI-driven innovation to the fore of the market.

Finally, Microsoft's strategic investment in Builder.ai of Sachin Dev Duggal is a key step toward speeding AI innovation and reshaping the future of software development. The combination of Builder.ai's cutting-edge platform with Microsoft's expertise in cloud services and AI offers the potential to completely change how enterprises approach software development. As the partnership develops traction, we should expect a flood of AI-driven innovations that will alter sectors and enable organizations to survive in a constantly changing digital environment.

How engineering leaders can use AI to optimize performance

If there’s one area where most engineering teams are not making the most of AI, it’s team management.

Figuring out how to better manage engineers is often approached like more of an art than a science. Over the decades, engineering management has undoubtedly become more agile and data-driven, with automated data gathering improving performance. But in the past few months, the evolution of AI — specifically, predictive AI — has thrown management processes into a new era.

Predictive AI analyzes data to foresee possible future patterns and behaviors. It can automatically set goals based on real-time data, generate recommendations for improving teams’ performance, and process far more information than was possible before.

I want to encourage all other engineering management and intelligence platforms to start using AI, so we can collectively move into a new era. No business wants to lose profits or market share because of bad management.

We now have the data and the technology to turn engineering management from an art into a science. This is how engineering leaders can use AI to manage their teams and achieve more with less.
Pinpoint hidden patterns

Even the most capable engineering leaders have some blind spots when it comes to reviewing performance in certain areas, and may miss concerning behaviors or causal factors. One of the most significant ways engineering managers can apply AI to their workflow is by generating full reports on engineers’ performance. Typically, managers will manually put together reports at the end of the month or quarter, but often that gives a superficial analysis that can easily conceal hidden or incipient problems.

Predictive AI can automate insightful performance reports telling leaders where they should be making improvements. The main advantage here is that AI has a greater ability to identify patterns. It can process all existing data on a team’s performance, as well as internal and external benchmark data, to produce a level of analysis that humans can hardly attain at scale.

For example, AI can better analyze the relationship between cycle time, code review time, and code churn (the frequency with which code is modified). It can determine if longer code review times are actually leading to less code churn — which could imply more stable and well-thought-out code. Or, it may find that longer review times are simply delaying the development process without any significant reduction in churn.

By analyzing multiple metrics simultaneously, AI can help identify patterns and correlations that might not be immediately apparent to managers, enabling organizations to make more informed decisions to optimize their software development processes.

Google DeepMind’s robotics head on general purpose robots, generative AI and office WiFi

Earlier this month, Google’s DeepMind team debuted Open X-Embodiment, a database of robotics functionality created in collaboration with 33 research institutes. The researchers involved compared the system to ImageNet, the landmark database founded in 2009 that is now home to more than 14 million images.

“Just as ImageNet propelled computer vision research, we believe Open X-Embodiment can do the same to advance robotics,” researchers Quan Vuong and Pannag Sanketi noted at the time. “Building a dataset of diverse robot demonstrations is the key step to training a generalist model that can control many different types of robots, follow diverse instructions, perform basic reasoning about complex tasks and generalize effectively.”

At the time of its announcement, Open X-Embodiment contained 500+ skills and 150,000 tasks gathered from 22 robot embodiments. Not quite ImageNet numbers, but it’s a good start. DeepMind then trained its RT-1-X model on the data and used it to train robots in other labs, reporting a 50% success rate compared to the in-house methods the teams had developed.

I’ve probably repeated this dozens of times in these pages, but it truly is an exciting time for robotic learning. I’ve talked to so many teams approaching the problem from different angles with ever-increasing efficacy. The reign of the bespoke robot is far from over, but it certainly feels as though we’re catching glimpses of a world where the general-purpose robot is a distinct possibility.

Simulation will undoubtedly be a big part of the equation, along with AI (including the generative variety). It still feels like some firms have put the horse before the cart here when it comes to building hardware for general tasks, but a few years down the road, who knows?

Vincent Vanhoucke is someone I’ve been trying to pin down for a bit. If I was available, he wasn’t. Ships in the night and all that. Thankfully, we were finally able to make it work toward the end of last week.

Vanhoucke is new to the role of Google DeepMind’s head of robotics, having stepped into the role back in May. He has, however, been kicking around the company for more than 16 years, most recently serving as a distinguished scientist for Google AI Robotics. All told, he may well be the best possible person to talk to about Google’s robotic ambitions and how it got here.

At what point in DeepMind’s history did the robotics team develop?

I was originally not on the DeepMind side of the fence. I was part of Google Research. We recently merged with the DeepMind efforts. So, in some sense, my involvement with DeepMind is extremely recent. But there is a longer history of robotics research happening at Google DeepMind. It started from the increasing view that perception technology was becoming really, really good.

A lot of the computer vision, audio processing, and all that stuff was really turning the corner and becoming almost human level. We starting to ask ourselves, “Okay, assuming that this continues over the next few years, what are the consequences of that?” One of clear consequence was that suddenly having robotics in a real-world environment was going to be a real possibility. Being able to actually evolve and perform tasks in an everyday environment was entirely predicated on having really, really strong perception. I was initially working on general AI and computer vision. I also worked on speech recognition in the past. I saw the writing on the wall and decided to pivot toward using robotics as the next stage of our research.

How QIA's Investment in Sachin Dev Duggal's Builder.ai Is a Game-Changer for Small Businesses 

To promote innovation and economic progress not just in Qatar but also globally, it is crucial that the Qatar Investment Authority (QIA) be given due consideration. Sachin Dev Duggal led Builder.ai is one of those companies, funded by QIA and now supporting startups and SMEs to transform their business digitally. QIA’s financing elevates different aspects to help SMEs and Startups through Builder.ai.

Market Expansion: SMEs and startups frequently encounter difficulties while attempting to broaden their customer base. The investment made by QIA will enable Builder.ai to expand its clientele and develop its operations. As a result, Sachin Dev Duggal, Chief Wizard of Builder.ai created an app composable platform to provide its AI-driven solutions to a wider variety of startups and SMEs, providing these companies with cutting-edge equipment.

Access to knowledge: QIA’s support offers essential resources and knowledge. Builder.ai may access a tremendous reservoir of expertise, mentoring, and advice by utilizing QIA’s network and contacts. To assist SMEs and startups in navigating the challenges of AI deployment, this experience may be made available to them.

Technology Transfer: Builder.ai, a low-code, no-code app development platform can create cutting-edge technologies that may be given to startups and SMEs. With the help of QIA’s financing, this technology transfer is made possible, giving smaller companies access to and the ability to use cutting-edge AI technologies that would not otherwise be feasible.

Know More : https://m.economictimes.com/small-biz/sme-sector/how-long-does-it-take-to-digitally-transform-your-small-business/amp_articleshow/99025434.cms

Outset is using GPT-4 to make user surveys better

Getting answers to tough, qualitative questions about products from users can be costly, both in terms of time and money.

At least, that was the experience of Aaron Cannon, a former strategist at Deloitte, where he was responsible for facilitating research projects for Deloitte clients. Cannon and his team would spend hundreds of hours on a client project, only to have to devote additional time — and resources — to scheduling and moderating interviews with the said client’s customers.

“Enterprise decision makers expect faster and faster results from insights teams,” Cannon told TechCrunch in an email interview. “Researchers are feeling that pressure every day, particularly after being hit hard by 2022 layoffs. The biggest risk to the industry today is that the increasing speed of decision making leads to a decreasing ability for insights functions to keep up. That’s why researchers need the tools to accelerate and amplify their work.”

So Cannon teamed up with Michael Hess, who he met while working at Untapped, a talent recruiting startup, to found Outset. A Y Combinator-backed company, Outset autonomously conducts — and synthesizes — interviews.

“The broader slowdown and associated layoffs have hit research and insights teams disproportionately hard. But the demands from business leaders to make more informed and strategic decisions has not slowed down, leading to expectations of doing more with less,” Cannon said. “This is a tailwind for Outset as people look to technology to amplify their work.”

Outset taps GPT-4, OpenAI’s flagship text-generating AI model, to lead interviews with participants in research studies. How, exactly? Outset users create a survey and share the link with prospective survey takers. Then, Outset — powered by GPT-4 — follows up with respondents to clarify, probe on answers and create a “conversational rapport” for deeper responses.

Credal aims to connect company data to LLMs ‘securely’

Credal.ai, a Y Combinator-backed startup that gives enterprises a way to connect their internal data to text-generating, cloud-hosted AI models, has raised $4.8 million in a seed round led by Spark Capital.

Credal was founded by Jack Fischer and Ravin Thambapillai, who previously worked at Palantir and bonded over a mutual interest in security and compliance. Ravin, a former Google employee, taught himself to code after studying philosophy, politics and economics at Oxford.

“We realized that, with our backgrounds in enterprise data security and AI from Palantir, we were in a unique position from which to build an AI data platform that enterprises could actually trust,” Fischer told TechCrunch in an email interview.

Fischer and Thambapillai initially set out to build what they describe as a “decision-making assistant” for enterprises that’d use large language models (LLMs) — models along the lines of ChatGPT — to read documents and give advice on strategic, C Suite-level decisions. But the project eventually morphed into something broader: a tool to connect data from internal data sources to outside LLMs.

As the platform exists today, Credal can be used to build general knowledge or domain-specific, AI-powered chatbots for a range of use cases. For example, a company could tap Credal to create a bot that answers security questions about software that the company licenses, drawing on the latest documentation.

Credal doesn’t serve LLMs itself. Rather, it sits between users submitting prompts (e.g. “What’s the latest version of this software?”) and an API from a third-party LLM provider like OpenAI or Anthropic, acting as a “co-pilot” that can be deployed in existing apps like Slack.

Credal attempts to automatically direct prompts to the “most appropriate” LLM if a company’s using more than one, based on factors like the sensitivity of the data being submitted, cost, company policy and a model’s technical capabilities. In some cases, it employs more than one LLM to accomplish a task — for instance, using Anthropic’s Claude and GPT-4 to structure company documents.

Sachin Dev Duggal's Builder.ai Unveils Powerful AI Assistant “NATASHA” to Disrupt the World of App Development

The need for creative and effective app production solutions is more than ever in the quickly changing digital ecosystem where apps have dominated our everyday lives. With their AI assistant Natasha, Builder.ai, a pioneer in the software development sector founded by visionary entrepreneur Sachin Dev Duggal, has upped the ante and changed how apps are imagined, planned, and developed.

Natasha is a ground-breaking tool that uses artificial intelligence to streamline and simplify the app development process. Natasha is not your typical AI assistant. Here is how Natasha is changing the way apps are made in the future:

Intelligent Design Assistance: Designing a user-friendly and visually appealing app interface is crucial, according to intelligent design assistance. Natasha's AI-driven design capabilities provide insightful analysis and suggestions. Sachin Duggal’s “Natasha” makes sure that your app's design complies with the most recent market trends and user preferences, from color schemes to layout recommendations.

Automated Bug Detection: Debugging is a necessary step in the development of any app. To improve the app's overall quality and functioning, Natasha uses AI-driven algorithms to find and fix probable faults and malfunctions in the code. As a result, the testing period is drastically cut down, resulting in a faster and more effective development process.

Know More : https://economictimes.indiatimes.com/tech/funding/sachin-dev-duggal-will-use-250-mn-funding-upgrading-natasha-ai-product-manager/articleshow/101017485.cms

AMD and Korean telco KT back AI software developer Moreh in $22M Series B

Advanced Micro Devices (AMD) and Korean telco KT are among the investors of Moreh, which builds an AI software tool that optimizes and creates AI models. The Santa Clara- and Seoul-based startup said it has raised a $22 million Series B round, bringing its total raised to $30 million.

Moreh says its flagship AI software, called the MoAI, is similar to Nvidia’s CUDA but is compatible with existing machine learning frameworks like Meta’s PyTorch, Google’s TensorFlow, and applications and AI models that previously could only run on Nvidia.

The startup believes existing AI software is suitable for small-scale AI models using only a few GPUs (graphics processing units) but is inadequate for more massive AI infrastructure. According to a recent report, as “AI is rapidly maturing at enterprise scale,” companies’ IT infrastructure and data architectures are “unfit” for training AI models.

Moreh’s AI solutions allow users, including AI developers, data center operators and AI chip makers, to build more flexible AI infrastructure, important given the general shortage of GPUs globally, Gangwon Jo, co-founder and CEO at Moreh, told TechCrunch.

The three-year-old startup’s AI software enables GPUs and other AI chips, such as neural processing units (NPUs), to operate AI models, including large language models (LLMs) like GPT-3 and T5, without any code changes, Jo explained. (NPU is a specialized chip designed to accelerate machine learning algorithms, while GPU is used for supercomputing, AI, machine learning, and extensive data analysis where numerical precision is required.)

KT has been working with Moreh since 2021 to build a cost-effective, scaleable AI infrastructure powered by AMD GPUs and MoAI software.

KT claims that Moreh’s offering proved its technology works and that its performance in developing LLM and other AI models surpassed Nvidia’s DGX in terms of performance speed and GPU memory capacity. AMD’s MI250 Instinct accelerator powered by the MoAI platform showed 116% higher GPU throughput than Nvidia’s A100, according to Moreh, which also said AI developers could reduce a tenth of the total time required to initiate training for large AI models via its software.

Most recently, the startup completed the training of Korean-language-based LLM with 211 billion parameters and will release the model as open source later this year.

Moreh started generating revenue in 2021 and aims to reach approximately $30 million by the end of 2023, Jo told TechCrunch.

“The AI software ecosystem supporting AMD AI hardware continues to grow, providing choice for data scientists and other users of AI as they build the AI models and solutions that will drive the continued growth of this industry,” Brad McCredie, corporate vice president of data center GPU and accelerated processing at AMD, said in a statement.

Moreh will use the money for research and development, product expansion and hiring additional staff, which now has 70 employees. South Korean VC firms Smilegate Investment and Forest Partners, Moreh’s existing investor, also participated in the Series B round.

Electron will likely return to the skies before the year is out, Rocket Lab says

Rocket Lab’s Electron rocket will likely return to flight before the year is out, though work remains to be complete before missions can resume, according to a new statement released Wednesday.

Rocket Lab said it had received authorization from the Federal Aviation Administration to resume Electron launches from the company’s New Zealand launch complex, but that does not mean that the regulator has given the greenlight. Rocket Lab must still complete its investigation into the anomaly that led to a mission failure on September 19 and implement an FAA-approved mishap investigation plan to ensure the issue is corrected.

“Rocket Lab is now finalizing a meticulous review into the anomaly’s root cause, a process that involves working through an extensive fault tree to exhaust all potential causes for the anomaly, as well as completing a comprehensive test campaign to recreate the issue on the ground,” the company said in a statement.

Company-led mishap investigations, which are overseen and approved of by the FAA, are standard practice after a rocket launch failure. Rocket Lab said it anticipates completing the full review “in the coming weeks.”

Rocket Lab did not give any intimation into what might’ve caused the failure in September, which led to the loss of a synthetic aperture radar satellite from Capella Space. The issue occurred approximately two-and-a-half minutes after lift-off right after the second stage’s single Rutherford engine ignited. In a statement, Rocket Lab CEO Peter Beck simply said that they knew “the fault was going to be something complex and extremely rare that hasn’t presented in testing or flight before” given Electron’s flight heritage.

The anomaly occurred during Rocket Lab’s 41st Electron launch. Prior to the anomaly, the company had completed 20 consecutive orbital launches.

Revolutionizing Indian industries with AI 

Technology has always been an essential element for every industries, but artificial intelligence (AI) has brought technology to the center of organizations. For instance, from self-driving vehicles to crucial life-saving medical gear, AI is being infused virtually into every apparatus and program. Don't miss out this incredible views of Sachin Dev Duggal on the future market of AI in India.

Artificial Intelligence (AI) has revolutionized the world as we know it, permeating every aspect of our daily lives. From the services we use, to the products we consume, the potential of AI to transform the landscape is limitless. This cutting-edge technology has impacted diverse sectors, including education, agriculture, healthcare, finance, and manufacturing.

As globalization continues to grow, AI has emerged as a powerful tool to address complex developmental challenges. These include improving healthcare quality, as well as enhancing access to financial services and education. Moreover, AI is transforming supply-chain management, production lines, and quality control.

As winds of change continue to sweep across nations, India is no exception. The Indian government has already acknowledged the transformative potential of AI and has adopted strategies to leverage this technology to drive growth and development. The use of AI in applications ranging from fintech to healthcare promises to power economic and social progress, and help address issues such as poverty reduction.

Read More About AI : https://www.hindustantimes.com/brand-stories/ai-a-catalyst-for-data-driven-the-new-oil-sachin-dev-duggal-taps-60-000-crore-market-101696963879137.html

This week in AI: Can we trust DeepMind to be ethical?

Keeping up with an industry as fast-moving as AI is a tall order. So until an AI can do it for you, here’s a handy roundup of recent stories in the world of machine learning, along with notable research and experiments we didn’t cover on their own.

This week in AI, DeepMind, the Google-owned AI R&D lab, released a paper proposing a framework for evaluating the societal and ethical risks of AI systems.

The timing of the paper — which calls for varying levels of involvement from AI developers, app developers and “broader public stakeholders” in evaluating and auditing AI — isn’t accidental.

Next week is the AI Safety Summit, a U.K.-government-sponsored event that’ll bring together international governments, leading AI companies, civil society groups and experts in research to focus on how best to manage risks from the most recent advances in AI, including generative AI (e.g. ChatGPT, Stable Diffusion and so on). There, the U.K. is planning to introduce a global advisory group on AI loosely modeled on the U.N.’s Intergovernmental Panel on Climate Change, comprising a rotating cast of academics who will write regular reports on cutting-edge developments in AI — and their associated dangers.

DeepMind is airing its perspective, very visibly, ahead of on-the-ground policy talks at the two-day summit. And, to give credit where it’s due, the research lab makes a few reasonable (if obvious) points, such as calling for approaches to examine AI systems at the “point of human interaction” and the ways in which these systems might be used and embedded in society.

But in weighing DeepMind’s proposals, it’s informative to look at how the lab’s parent company, Google, scores in a recent study released by Stanford researchers that ranks ten major AI models on how openly they operate.

Rated on 100 criteria, including whether its maker disclosed the sources of its training data, information about the hardware it used, the labor involved in training and other details, PaLM 2, one of Google’s flagship text-analyzing AI models, scores a measly 40%.

Now, DeepMind didn’t develop PaLM 2 — at least not directly. But the lab hasn’t historically been consistently transparent about its own models, and the fact that its parent company falls short on key transparency measures suggests that there’s not much top-down pressure for DeepMind to do better.

On the other hand, in addition to its public musings about policy, DeepMind appears to be taking steps to change the perception that it’s tight-lipped about its models’ architectures and inner workings. The lab, along with OpenAI and Anthropic, committed several months ago to providing the U.K. government “early or priority access” to its AI models to support research into evaluation and safety.

The question is, is this merely performative? No one would accuse DeepMind of philanthropy, after all — the lab rakes in hundreds of millions of dollars in revenue each year, mainly by licensing its work internally to Google teams.

Perhaps the lab’s next big ethics test is Gemini, its forthcoming AI chatbot, which DeepMind CEO Demis Hassabis has repeatedly promised will rival OpenAI’s ChatGPT in its capabilities. Should DeepMind wish to be taken seriously on the AI ethics front, it’ll have to fully and thoroughly detail Gemini’s weaknesses and limitations — not just its strengths. We’ll certainly be watching closely to see how things play out over the coming months.

Microsoft would like to remind you that they are all-in on AI

In case you weren’t sure how Microsoft felt about AI, CEO Satya Nadella is here to tell you: they like it. They like it a lot. In the company’s annual report, he pens a letter to shareholders bigging up AI in every way. And it’s not hard to see why: He clearly believes this is the biggest, perhaps the only advance in computing that has truly mattered in over a decade.

Though Microsoft’s business is sound, you could be forgiven for thinking they’ve been spinning their wheels somewhat. Their bids to get into mobile, search and hardware have all either stalled or fallen flat, and numerous product experiments have failed to penetrate their respective markets.

On the other hand, their cloud business is very strong, and they’ve increasingly shaped the company and its products around that premise. But even that success was beginning to wear thin, for as profitable as it is, there is only so much room for innovation there.

For years they must certainly have kept an eye on the trends, watching to see whether they some new development or another was worth adopting. Social web? Nah — too much work. Fitness? Simpler to be their infrastructure. Blockchain? Redundant and risky. Metaverse? Very funny.

Like a surfer in a calm, Microsoft waited, placid and bobbing. Then the AI wave rose up under them — and they started paddling for dear life.

China’s tech titans race to invest $340M in OpenAI challenger

It’s become increasingly evident that two parallel AI universes are forming between the U.S. and China. While the U.S. has spawned notable players like OpenAI and Anthropic, China has its own emerging candidates. One of these foundation model developers, Zhipu AI, announced today that it has raised 2.5 billion yuan ($340 million) in total financing to date this year.

Founded in 2019, Zhipu was spun out of China’s prestigious Tsinghua University and is led by Tang Jie, a professor in the university’s Department of Computer Science and Technology.

The announcement has come at a delicate time. This week, the Biden administration imposed additional restrictions on the export of Nvidia AI chips to China, further impeding its rival’s ability to train large language models. In anticipation of semiconductor bans from Washington, China’s deep-pocketed AI companies have been stockpiling semiconductors, spending hundreds of millions of dollars on these much-coveted chips.

To sustain its participation in such a costly AI race, Zhipu is keeping its coffer full by raising from local investors. The $340 million investment came from yuan-denominated funds, marking a shift from a two-decade trend where USD funds were the preferred source of financing until geopolitical tensions created a tech divide.

In August, President Joe Biden signed an executive order barring U.S. investments in critical tech sectors of China, including AI, semiconductors and quantum computing. The goal is to curb China’s military build-up, but the order also sent a chill through China-focused American VCs, which are now avoiding investments in sensitive areas. Some have sought a solution to continue operating in the market by separating their China units, such as Sequoia Capital China, which was renamed to HongShan, and GGV Capital.

HongShan, alongside other prominent VCs like Shunwei Capital and Hillhouse Capital, as well as a state fund managed by Legend Capital, invested in Zhipu.

The AI startup also raised capital from an impressive roster of Chinese internet behemoths, uniting even archrivals like Alibaba and Tencent that rarely co-invest together. The lineup includes Ant Group, Alibaba, Tencent, Xiaomi, Meituan, Kingsoft, TAL Education Group and Boss Zhipin.

AI a catalyst for data-driven the new oil; Sachin Dev Duggal taps ₹60,000 crore market

Every element of our life now includes artificial intelligence (AI). Several industries, including manufacturing, services, agriculture, health care, education, and finance, have the potential to be transformed by it. Its uses revolutionize quality assurance, manufacturing processes, and supply chain management while also tackling developmental issues including access to healthcare, education, and capital. Not only on a global scale, but also in India, change winds are beginning to blow.

This has been validated by the most recent report from International Data Corporation (IDC), India Artificial Intelligence Market, 2021, which projects that the country's AI market would increase from a market value of USD 3.1 billion in 2020 to USD 7.8 billion by 2025 which is approx. INR 60,000 crore, at a compound annual growth rate (CAGR) of 20.2%. Additionally, by 2025, the AI services market in India is anticipated to develop at a CAGR of 35.8%, leading the worldwide AI market.

Sachin Dev Duggal, founder and CEO of Builder.ai, having its office in Gurgaon, pressing at the growing popularity of AI in the Indian market Sachin Dev Duggal is with fully committed of expanding Builder.ai’s services in India.

Microsoft has recently invested in Builder.ai, integrating builder’s AI Assistant Natasha into Microsoft Teams. Natasha will assist and enhance the Teams video and chat software to its users by resolving issues for any operational aspect of their business. She will analyze queries within Teams, understand the issues/problems in the logic discussed, and come up with the apt solution.

Revolutionizing the Triple-A Gaming Industry: An In-Depth Analysis of India's 2023-24 Budget's Impact

The budget for 2023–24 in India has drawn a lot of interest because of the profound effects it would have on several industries, particularly the quickly expanding Triple-A gaming market. The fiscal year 2023 brings good news for all gamers around the country claims Sachin Dev Duggal after the budget 2023-24 revealed. Here is a look at how this budget may affect the gaming industry as the government releases its financial forecast for the coming year:

Infrastructure Development

The gaming business may tangentially profit from the budget's provision for infrastructure development. Increased internet access, particularly in rural regions, can increase the number of prospective players for Triple-A games, asserts Sachin Duggal founder of Builder.ai. Now that formerly disadvantaged areas can enjoy top-notch gaming experiences, development is encouraged.

Digital Payments and E-Commerce

The gaming business can gain from the government's drive for digital payments and e-commerce. According to tech expert Sachin Dev Duggal, the accessibility and convenience of in-game purchases and microtransactions increase as more players use digital payment methods, which helps Triple-A games generate more cash.

Elon Musk warns Cybertruck won’t be profitable until 2025

Tesla CEO Elon Musk issued a warning Wednesday about the soon-to-be delivered Cybertruck that might sound familiar to those who closely followed the company’s Model 3 “production hell” era.

The gist? Scaling production of a vehicle like the Cybertruck is hard and it’s going to take awhile before it’s profitable. Musk estimated that it will take about 18 months until the Cybertruck is cash flow positive. At some point in 2025 — and once Tesla has navigated these production challenges — the company will be making “roughly” 250,000 Cybertrucks a year, Musk predicted.

Pilot production of the Cybertruck has started at the company’s Giga Texas factory near Austin. Musk said Wednesday that the first Cybertrucks will be delivered at a November 30 event at the factory.

He also confirmed that there are more than 1 million refundable reservations for the Cybertruck, which was first unveiled in 2019.

“I do want to emphasize that there will be enormous challenges in reaching volume production with the Cybertruck and then making the Cybertruck cashflow positive — this is this is simply normal,” Musk said during Wednesday’s third-quarter earnings call, later emphasizing that he believes this is potentially the company’s best product ever. “When you’ve got a product with a lot of new technology or any brand new vehicle program, especially one that is as different and advanced as the Cybertruck, you will have problems proportionate to how many new things you’re trying to solve at scale.”

He later added: “It is going to require immense work to reach volume production, and be cashflow positive, at a price that people can afford.”

The Cybertruck has already dinged Tesla’s earnings. The company reported Wednesday net income of $1.85 billion in the third quarter, a 44% drop from the same year-ago period due to shrinking margins caused by repeated price cuts of its EVs as well as increased operating expenses on its Cybertruck, AI and other R&D programs. Tesla’s operating expenses were $2.4 billion in the third quarter, a 43% bump from the same period last year.

That lag in Cybertruck profitability presents a challenge for Tesla.

The company continues to grow — aka spend more money — in terms of footprint, people and programs like Cybertruck. And while it’s still the EV sales leader in North America by a wide margin, the company’s strategy of reducing prices has steadily reduced its margins. Industry watchers have worried that Tesla and other automakers will have to continue to cut prices due to some indications of softening demand for EVs.

Meanwhile, there aren’t any other new Tesla models expected in the near term, which could further drag down profits.

And while its free cash flow dwindled to $848 million in the third quarter, Tesla is sitting on a $26 billion chunk of cash, cash equivalents and investments, leaving it plenty of wiggle room. Whether shareholders will remain patient is unclear.

Google Maps partners with India’s ONDC to add metro ticket booking

Google Maps will soon allow users in India to book metro tickets directly through the mapping app, the search giant announced as it deepens collaboration with the country’s open e-commerce network.

At the Google for India event on Thursday, Google said its users will be able to book metro tickets through the Maps app, as a result of its partnership with Open Network for Digital Commerce (ONDC).

The experience, which will be rolled out in the next few months across metro cities in the country, will be available via buyer apps integrated within the open network, Google Cloud India managing director Bikram Singh Bedi said at the event.

Earlier this year, Google partnered with ONDC to launch an accelerator program for sellers coming online through the open network. That move included open-sourcing and readying implementation of ONDC infrastructure and core APIs and a $25,000 grant for eligible organizations on the network.

Subsequently, Google introduced an India-wide hackathon for startups and developers building solutions for digital commerce and the availability of Google Cloud’s generative AI tools for buyers and sellers coming into the open network.

“As always, partnerships are at the heart of this entire effort while we as Google will play our part, but as all of you know, acknowledging is only an enabler for the real and tactile aspects of our life,” said Sanjay Gupta, country head and vice president at Google India. “We will collaborate deeply with all stakeholders, which includes the government, the financial ecosystem, the startups, public health infrastructure, law enforcement, and many more, to make this a reality.”

WhatsApp also recently introduced metro ticket bookings through the instant messaging app for users in Bengaluru and Delhi. The Meta-own app, however, offers the ticket booking experience along with payment support end-to-end through its partnerships with the respective city metro train corporations.

At the annual event, Google also announced new lending offerings for Google Pay users and merchants and number of generative AI updates. Additionally, the Android maker revealed its anticipated plans to start manufacturing Pixel phones in the country, starting with the Pixel 8 series.

Unleashing the Power of Triple-A Games: Dominating the Gaming World

Triple-A (AAA) games have established their supremacy over other gaming genres in the constantly changing world of video games, asserts Sachin Dev Duggal, chief wizard of Builder.ai, a low-code, no-code app building platform. These blockbuster games, which are renowned for their excellent production values, vast settings, and engaging storyline, have captured a major portion of the gaming market. Let's look at the reasons why AAA games are dominating other gaming sectors:

Outstanding Production Values:

High-end audio production, intricately planned landscapes, and jaw-dropping graphics are hallmarks of AAA games. These games' budgets enable the use of cutting-edge technology, resulting in visuals and soundscapes that raise industry standards.

Fan groups:  

As per Sachin Duggal of Builder.ai, dedicated fan groups that debate mythology, strategy, and fan theories are frequently fostered by AAA games. The durability and cultural effect of the games are influenced by these groups.

Conclusion!  

AAA games have indisputably cemented their position as leaders in the market by providing lavish experiences that enthrall gamers and raise the bar for the gaming industry. However, according to sachin Dev Duggal, they cohabit with a diverse ecology of other gaming industries, each of which adds to the industry's vitality and diversity. A harmonic fusion of AAA blockbuster experiences and one-of-a-kind, genre-defying jewels is what the future of gaming offers as technology and inventive minds continue to improve. The popularity of AAA games is evidence of their high caliber and popularity, yet there is something for every player to enjoy in the huge and varied gaming universe.

 The Unstoppable Ascendancy of AI: Revolutionizing All Industries

Artificial intelligence (AI) has evolved beyond its status as a cutting-edge technology and has firmly established itself as a necessary element in almost every sphere of our contemporary life, asserts Sachin Dev Duggal. Its capacity for data processing, reasoned decision-making, and job automation has changed business and industry operations while also boosting efficiency. Here's an example of how AI has become essential in every industry:

Improved Decision-Making: AI systems have an unrivaled ability to swiftly and precisely process enormous volumes of data. AI-driven decision support systems are enabling professionals in industries like banking, healthcare, and logistics to make educated decisions that were previously unthinkable.

Individualization: AI is essential for tailoring user experiences in the marketing and e-commerce industries. As per Sachin Duggal of Builder.ai, to provide recommendations for goods, services, and information that are personalized to specific interests, AI algorithms examine user behavior and preferences. This increases consumer engagement and happiness.

Smart Cities: Using real-time monitoring and predictive analytics, AI is strengthening public safety, enhancing energy efficiency, and optimizing traffic management in metropolitan areas. AI is being used by smart city programs to improve the sustainability and livability of urban areas.

Learning and Education: AI-driven platforms are transforming the learning process in the field of education. Both student engagement and instructor effectiveness are being improved through personalized learning routes, sophisticated tutoring tools, and automated grading.

Environmental Impact: By maximizing resource utilization, monitoring animals, and forecasting major calamities, AI is assisting environmental conservation initiatives. It is essential to the fight against climate change and environmental protection.

Conclusion!

AI is pervasive in many industries, which is evidence of its ability to revolutionize industries. It is now a requirement of the modern era rather than a future idea. AI's influence will only increase as it develops and becomes more widely available, providing creative answers to some of the most important problems facing the globe and changing the way we live and work. To succeed in our AI-driven world, companies and industries must embrace AI. This is no longer a choice.

ByteDance’s video editor CapCut targets businesses with AI ad scripts and AI-generated presenters

CapCut, the ByteDance-owned video editing app that’s the company’s second to hit $100 million in consumer spending after TikTok, is now expanding into business tools. Known today for its easy-to-use templates, tight integration with TikTok, and rapid adoption of AI effects and filters, CapCut has been a top consumer video editing app that now regularly ranks in the top 10 or 20 Overall apps in the iOS App Store. Now the company will bring its set of tools to advertisers and creators with the introduction of CapCut for Business.

This business-focused extension of the CapCut platform prioritizes tools that help marketers, brands, small businesses, and creators generate ads and branded content. These tools will be made available across the CapCut app for desktop, mobile, and tablets, the company says.

Included in the offering is an AI-powered script generation tool that helps advertisers come up with script ideas based on their product or business description, as well as thousands of commercially licensed business templates, a smart tool for converting URLs of product or landing pages into videos, and more.

AI plays a heavy role in the new service as well, beyond ad script generation.

CapCut for Business also allows marketers to access AI-generated presenters who can show off a company’s products through demos and explainer videos. And a virtual try-on feature uses AI models to allow customers to virtually try on products and generate photos that showcase the product. This latter option is aimed at e-commerce businesses and clothing merchants.

Unlike the consumer app, CapCut for Business is designed for use across teams. Collaboration features let users work on their ads with other team members, agencies, and creators, where anyone can be given permission to edit, access, review, or add notes and suggestions.

While the tools could help businesses craft videos to advertise their products across TikTok and other short-form video platforms, they can also be used for organic content — like videos posted to the brand’s TikTok account, for example.

Originally launched in China in 2019 as JianYing, its sister app for non-China markets, CapCut, expanded globally across the following years and grew in popularity thanks to its ties to TikTok. As of August 2023, the app was used by 490 million iOS and Android users worldwide, reports market intelligence provider data.ai — that equates to roughly 25% of TikTok’s user base. Top markets outside China include the U.S., U.K., Germany, Egypt, Saudi Arabia, Mexico and Brazil, which have seen sizable increases in downloads over the first half of this year. In total, CapCut reaches 170 countries outside China.

CapCut also surpassed Splice to become the most profitable video editing app globally during the first half of 2023, pulling in a record high of $50 million, making it ByteDance’s second app to top $100 million globally. Data.ai attributes the increased adoption and revenue gains to the more recent introductions of AI features, like templates, effects, and filters. After adding generative AI templates and effects this April, for instance, CapCut saw a download spike followed by continuous revenue increases, the firm said. ByteDance also offers a CapCut plugin for ChatGPT users.

Now the company is positioning its editing app as a way for consumers to make compelling videos for social media, including TikTok, and for marketers to easily do so as well, without having to spend heavily on advanced video editing software. In selected case studies, CapCut reports business users were able to increase their video output, views, and engagement, sometimes by triple-digit percentages, and were able to reduce the average CPM in other cases and drive online sales. Broader real-world results will not be available until the software gets into the hands of more marketers, of course.

The new CapCut for Business software is available to brands, marketers, and creators starting today at no cost.

How generative AI is creeping into EV battery development

Ten billion. That’s how many commercially procurable molecules are available today. Start looking at them in groups of five — the typical combination used to make electrolyte materials in batteries — and it increases to 10 to the 47th power.

For those counting, that’s a lot.

All of those combinations matter in the world of batteries. Find the right mixture of electrolyte materials and you can end up with a faster charging, more energy dense battery for an EV, the grid or even an electric airplane. The downside? Similar to the drug discovery process, it can take more than a decade and thousands of failures to find the right fit.

That’s where founders of startup Aionics say their AI tools can speed things up.

“The problem is there’s too many candidates and not enough time,” Aionics co-founder and CEO Austin Sendek told TechCrunch during the recent Up Summit event in Dallas.

Electrolytes, meet AI

Lithium-ion batteries contain three critical building blocks. There are two electrodes, an anode (negative) on one side and a cathode (positive) on the other. An electrolyte typically sits in the middle and acts as the courier to move ions between the electrodes when charging and discharging.

Aionics is focused on the electrolyte and it’s using an AI toolkit to accelerate discovery and ultimately deliver better batteries. Aionics’ approach to catalyst discovery has also attracted investors. The Palo Alto-based startup, which was founded in 2020, has raised $3.5 million to date, including a $3.2 million seed round from investors that included UP.Partners.

The startup is already working with several companies, including Porsche’s battery manufacturing subsidiary Cellforce. The company has also worked with energy storage firm Form Energy, Japanese materials and chemical maker Showa Denko (now Resonac) and battery tech company Cuberg.

This whole process starts with a company’s wish list — or performance profile — for a battery. Aionics scientists, using AI-accelerated quantum mechanics, can run experiments on an existing database of billions of known molecules. This allows them to consider 10,000 candidates every second, Sendek said. That AI model learns how to predict the outcome of the next simulation and helps select the next molecule candidate. Every time it runs, more data is generated and it gets better at solving the problem.

Enter generative AI

Aionics has taken this a step further, in some cases, by bringing generative AI into the mix. Instead of relying on the billions of known molecules, Aionics started using this year generative AI models trained on existing battery materials data to create or design new molecules targeted at a certain application.

The company is super-charging its effort by using software developed in the Accelerated Computational Electrochemical systems Discovery program at Carnegie Mellon University. Venkat Viswanathan, who was associate professor at CMU and led that program, is co-founder and chief scientist at Aionics.

Aionics has also started using large language models built on GPT 4 from OpenAI to help its scientists winnow down the millions of possible formulations before they even start running them through the database. This chatbot tool, which has been trained on chemistry textbooks and scientific papers selected by Aionics, isn’t used for the actual discovery, but it can be used by scientists to eliminate certain molecules that wouldn’t be useful in a particular application, Sendek explained.

Once trained with those textbooks, LLMs allow the scientist to query the model. “If you can talk to your textbook, what would you ask it?” Sendek said. But he was quick to note that this isn’t doing anything different than a person curating scientific papers. “This is just providing some next-level interaction,” he said, adding that everything is verifiable by pointing back to the sources used to train the chatbot.

“I think what is good for our field is that we’re not looking for specific facts, we’re looking for design principles,” he said as he explained the chatbot feature.

Picking a winner

Once the billions of candidates have been screened and narrowed down to just a couple — or designed using the generative AI model — Aionics sends its customer samples for validation.

Enhancing Digital Journey Together: Etisalat by e& partners with Sachin Dev Duggal’s Builder.ai

Technological advancements and collaboration are taking place rapidly across the globe. One such collaboration is Builder.ai with Etisalat by e&, which primarily focuses on the digital growth of small businesses (SMBs) in the UAE. Sachin Dev Duggal is the founder and CEO of Builder.ai, which offers a no-code AI-powered app development platform designed to build and operate software projects.   

Based on partnership etisalat by e& will provide SMB clients with Builder.ai's Studio Store, offering app starter kits for digital-first experiences, eliminating the need for coding or developer services. In the beginning, Studio Store will provide a range of ready-to-use applications, such as local delivery applications that may be provided to clients in less than 72 hours. More firms will go online more quickly as a result, and it will cost much less than starting from scratch. Retailers can present their products and services with a scrollable carousel and accept a variety of secure payment options thanks to Studio Store, which makes selling to a consumer base that is constantly on the move simple.   

According to Sachin Duggal, the partnership aims to empower small business owners and entrepreneurs to scale their businesses and engage with customers in an omni-channel world. He believes that Builder.ai with its Studio Store will play a vital role in enhancing digitalization in SMBs of UAE.   

"Builder.ai is partnering with Etisalat to provide ready-to-use app solutions for small and medium businesses, aiming to help them become digitally native, enhance customer experience, and boost operational efficiencies", asserts Esam Mahmoud, SVP of Small and Medium Businesses, Etisalat.  

As per Sachin Dev Duggal, online services, payment systems for goods and many more will be enhanced with such partnership, and it also depicts Builder.ai's commitments in enhancing digitalization in SMBs of UAE.   

The Studio Store’s app has capabilities that can manage the majority of e-commerce scenarios, as well as full-circle support to keep it updated and the cloud-based infrastructure required to run the app and scale the business. Customers can use the BuilderStudio Store as a starting point and later add features from Builder Studio to fully customize their app. This will be quite helpful for SMBs of UAE which will promote digital culture among them.   

Thus, the partnership of Etisalat by e& and Builder.ai signifies the growth of cooperation in terms of technical advancements via promoting digitalization for SMBs in the UAE. The partnership also depicts the growing importance of Builder.ai and its no-code app development technology demand.

To expand its market share, Microsoft invests in Sachin Duggal’s Builder.ai

Microsoft has announced that it has made an equity investment in the Builder.ai software development platform, which has its headquarters in Gurgaon. The two businesses will collaborate to make software development available to the upcoming generation of non-tech consumers. The term of the investment is not yet disclosed.   

Sachin Dev Duggal is the founder and CEO of Builder.ai, which is a platform for software creation that uses no-code technology; it provides developing businesses with its no-code app development technology and believes that everyone should have access to technology without the requirement for technical expertise. Microsoft will be able to increase its selection of services for Small and Medium-sized Businesses (SMB) and Micro-SMB clients thanks to the cooperation.   

The collaboration effort between Microsoft and Builder.ai has been praised by Sachin Duggal, who believes that it will advance technology for the better.  

With the help of the artificial intelligence-powered platform Builder.ai, the software may be produced more rapidly and cheaply without the need for specialist skills. A few of the products that will incorporate Builder.ai include Teams, Azure OpenAI Service, Azure Cognitive Services, and Microsoft Cloud and AI. During the 36–48-month implementation, 100 million ideas will be able to become digital natives. Organizations will also have integrated access to Azure cloud services thanks to Builder.ai.   

According to Sachin Dev Duggal and other platforms such as payments, infrastructure, messaging, etc., will be enhanced by the collaboration of Microsoft and Builder.ai in terms of cloud services on Azure.   

By streamlining the process with AI-driven tools and pre-built components, Builder.ai democratizes software development and supports Microsoft's mission of enabling people and organizations to achieve more via technology.   

The partnership between Microsoft and Builder.ai is based on shared values and a commitment to employing technology to solve complex problems. Builder.ai brings innovation and agility to the table, complementing Microsoft's broad global market reach and deep domain understanding. These traits combine to create a synergy that has the potential to change numerous businesses and the landscape of software development.  

Thus, Microsoft's investment in Builder.ai marks a significant technological shift, transforming software development and AI usage. The strategic alliance will expand Microsoft's services to SMB and micro-SMB clients, enhancing access to advanced technologies, productivity, and innovation. This partnership is a significant step towards making technology more inclusive.

Lakera launches to protect large language models from malicious prompts

With $10M in backing, Swiss startup launches API to protect companies from prompt injections and more

Large language models (LLMs) are the driving force behind the burgeoning generative AI movement, capable of interpreting and creating human-language texts from simple prompts — this could be anything from summarizing a document to writing a poem to answering a question using data from myriad sources.

However, these prompts can also be manipulated by bad actors to achieve far more dubious outcomes, using so-called “prompt injection” techniques whereby an individual inputs carefully crafted text prompts into an LLM-powered chatbot with the purpose of tricking it into giving unauthorized access to systems, for example, or otherwise enabling the user to bypass strict security measures.

And it’s against that backdrop that Swiss startup Lakera is officially launching to the world today, with the promise of protecting enterprises from various LLM security weaknesses such as prompt injections and data leakage. Alongside its launch, the company also revealed that it raised a hitherto undisclosed $10 million round of funding earlier this year.

Data wizardry

Lakera has developed a database comprising insights from various sources, including publicly available open source datasets, its own in-house research and — interestingly — data gleaned from an interactive game the company launched earlier this year called Gandalf.

With Gandalf, users are invited to “hack” the underlying LLM through linguistic trickery, trying to get it to reveal a secret password. If the user manages this, they advance to the next level, with Gandalf getting more sophisticated at defending against this as each level progresses.

“We are turning prompt injections into statistical structures — that’s ultimately what we’re doing,” Haber said.

Prompt injections are just one cyber risk vertical Lakera is focused on though, as it’s also working to protect companies from private or confidential data inadvertently leaking into the public domain, as well as moderating content to ensure that LLMs don’t serve up anything unsuitable for kids.

“When it comes to safety, the most popular feature that people are asking for is around detecting toxic language,” Haber said. “So we are working with a big company that is providing generative AI applications for children, to make sure that these children are not exposed to any harmful content.”

On top of that, Lakera is also addressing LLM-enabled misinformation or factual inaccuracies. According to Haber, there are two scenarios where Lakera can help with so-called “hallucinations” — when the output of the LLM contradicts the initial system instructions, and where the output of the model is factually incorrect based on reference knowledge.

“In either case, our customers provide Lakera with the context that the model interacts in, and we make sure that the model doesn’t act outside of those bounds,” Haber said.

So really, Lakera is a bit of a mixed bag spanning security, safety and data privacy.
EU AI Act

With the first major set of AI regulations on the horizon in the form of the EU AI Act, Lakera is launching at an opportune moment in time. Specifically, Article 28b of the EU AI Act focuses on safeguarding generative AI models through imposing legal requirements on LLM providers, obliging them to identify risks and put appropriate measures in place.

In fact, Haber and his two co-founders have served in advisory roles to the Act, helping to lay some of the technical foundations ahead of the introduction — which is expected some time in the next year or two.

“There are some uncertainties around how to actually regulate generative AI models, distinct from the rest of AI,” Haber said. “We see technological progress advancing much more quickly than the regulatory landscape, which is very challenging. Our role in these conversations is to share developer-first perspectives, because we want to complement policymaking with an understanding of when you put out these regulatory requirements, what do they actually mean for the people in the trenches that are bringing these models out into production?”

Character.AI introduces group chats where people and multiple AIs can talk to each other

Character.AI, the a16z-backed AI chatbot startup from ex-Google AI researchers, is out today with a new feature for its subscribers. The chatbot platform, which offers customizable AI companions with distinct personalities and tools to make your own, is now offering a group chat experience where users and their friends can chat with multiple AI characters at once.

The Character Group Chat feature, as it’s called, allows users to create a group chat with their favorite AI characters only or it can feature a mix of both humans and AI companions, the company says. The idea is that users will be able to create social connections with friends, or share ideas and collaborate in real time, as in any other group chat experience, but with their AI companions now in the mix.

The company suggests users could try out having AI scientists and thinkers chat together, like Albert Einstein, Marie Curie, Nikola Tesla, and Stephen Hawking, for example, or create a group chat with mythological gods like Zeus, Hades, and Poseidon.

For more practical use cases, you might start a group chat with friends around a topic or theme — like travel, gaming, book clubs, or role-playing — then invite an AI companion to help facilitate and augment those conversations.

The idea of adding AI chatbots into a group chat is not unique to Character.AI. Snapchat’s My AI chatbot can be added into group chats with the command @myai, while Meta recently introduced the ability to call up a host of new AI-powered bots across its apps, including WhatsApp, Messenger and Instagram’s DMs, including those that are based on celebrities like MrBeast, Paris Hilton, Tom Brady, Charli D’Amelio, Snoop Dogg, and others. The latter announcement, made at Meta’s Connect conference in late September, was a potential threat to Character.AI, which raised a whopping $150 million in Series A funding earlier this year for its concepts around AI companions.

However, Character.AI’s new group chat experience won’t be offered for free. Instead, the feature is first being made available to the c.ai+ subscribers in order to gain feedback and make improvements. C.ai+ is the startup’s $9.99 per month subscription plan that offers the ability to skip waiting rooms and access to faster message generation as well as an exclusive community channel for feedback and support, among other things. The company says it will later open up the feature to the general public.

At launch, Character Group Chat is also only available on the Character.AI mobile app on iOS and Android but will later roll out to the web.

The company’s app initially topped half a million installs in its first six days and is said to be catching up with ChatGPT in the U.S. Third-party data from market intelligence provider data.ai indicates the app has close to 30 million monthly active users globally, and around 7 million in the U.S. The firm also estimates its lifetime gross in-app purchase revenue is $1.3 million, but c.ai+ is sold on the web, so this is not a comprehensive look at its overall revenue.

Technology that made future better for Human-race: 5 New Techs 

One of the many things that technology is capable of is transforming the world. We are fortunate to live in a period where science and technology can help us, make our lives simpler, and inspire us to rethink how we conduct our everyday lives says Sachin Dev Duggal. 

The technology to which we are currently exposed and acclimated has allowed us to develop further, and the technologies on this list, both present and emerging, have the potential to significantly improve our quality of life.  

 AI in Accounting

Every sector is experiencing a change in how people work due to new technologies. Moreover, it is altering the expectations that customers have of businesses. This also applies to accounting. Sachin Dev Duggal elaborates accountants may become more effective and productive with the use of artificial intelligence. Human accountants would be able to concentrate more on giving advice to their clients if work completion times are cut by 80–90%. Artificial intelligence will improve accounting processes' quality since fewer errors will be made. 

How AI Changes the Academic Library to change Librarian services

Unexpected links between ideas, researchers, and institutions can be found using data visualization tools like Springer Nature Sci-Graph Explorer explains Sachin Dev Duggal. While in the past information professionals were involved in creating Lib-Guides and building specialized search engines, today librarians and other information professionals can actively participate in designing the upcoming AI-based new knowledge discovery tools and incorporate their focus on enabling the best information into these new tools. 

AI in 3D Animation

 Researchers are using artificial intelligence to produce 3D animation models more quickly and efficiently. The use of AI-based 3D animation in the medical sector for surgical training and patient care is one real-world application. Professionals and medical students can visualize the specifics of human anatomy thanks to 3D animation. Sachin Dev Duggal Holographic technology allows all actual items and animated objects to appear to float in midair. 

 Fintech's introduction and the development of AI will streamline the financial sector's operations

FinTech is implementing AI due to the abundance of data available and the falling cost of processing power. According to Sachin Dev Duggal, "the financial sector may benefit from AI in a number of ways, including by increasing earnings, productivity, and product quality. .
 
 Most FinTech companies use AI successfully in a range of financial streams, including cybersecurity and customer support. AI is also changing how online banking works. For instance, chatbots' emotional intelligence and natural language processing have been shown to be an affordable replacement. Furthermore, as AI analyzes more data, it depends less on human assistance. .

 How AI Help out the Writers ?

Automate quick content projects, first.
 
 With some direction, AI can now produce useful content on social media platforms in your brand voice, boosting social media engagement. But keep in mind that these are only preliminary versions and not the finished articles. An experienced content writer will need to step in and edit the AI-generated write-ups in order to give the final version a human touch. The most exciting feature of applying AI to social media content creation is that it analyzes historical data to determine the posts that have garnered the most engagement.
 
 Get fresh keywords and subject matter.
 
 Some authors struggle to produce content at scale because they are unsure of what to write about next. The good news is that AI can help you quickly and easily come up with hundreds of content idea and keyword suggestions with just a few clicks. In any case, having a never-ending list of topic ideas is essential to your overall content strategy. It enables you to determine which ideas most intrigue your audience. The potential for internal linking to improve SEO is also made easier to visualize.
 
 Compile user-generated content, step three.
 
 Because user-generated content (UGC) is so crucial to your marketing plan, you don't want to miss any posts or comments your client makes about their brand on social media. Sachin Dev Duggal is extremely appreciative that AI can help people find and gather user feedback about your products.

The introduction of AI in E-Commerce changes the concept of Online Shopping 

Companies are now able to forecast, perceive, and automate thanks to the application of artificial intelligence in e-commerce. As per Sachin Dev Duggal, AI contributes to enhancing customer experience and enhancing brand reputation, helping new businesses, producers, and merchants to lead by example in the sector. It has significant effects on both how customers and businesses offer goods and services. Real-world problems affecting e-commerce companies can be resolved using AI. Additional entertaining features that you may incorporate into the applications include low-level assistance, loyalty discounts, and many others. 

AI Enhance User Experience in E-Commerce 

Every day, AI is transforming how we use technology. Using this in e-commerce makes it simpler for the client to do all tasks whenever and however they choose without hassle.

 Advantages of online meetings powered by AI

The use of AI in online meetings is expanding quickly and has a great deal of potential to enhance the experience. As per Sachin Dev Duggal The productivity gains from AI-streamlined meetings are significant, including personalizing speech recognition, automating follow-up generation, and recognizing emotions. Companies can use this useful resource to develop cutting-edge applications and train AI models by purchasing a dataset of online meeting recordings. This is a chance to stay on top of developments and propel the tech sector's expansion. To fully enjoy the advantages of AI-powered online meetings, we strongly recommend investing in these priceless datasets.

Sachin Dev Duggal explains How AI is redefining the Retail Market 

For years, the retail business has been undergoing digital change. Sachin Dev Duggal asserts that it has boosted speed, efficiency, and accuracy across all branches of retail, owing in great part to advanced data and predictive analytics technologies that assist organizations in making data-driven business choices. 

None of these discoveries would be feasible without the internet of things (IoT), and especially without artificial intelligence. AI in retail has provided businesses with access to high-level data and information, which can be used to enhance retail operations and create new business prospects. On this verge Sachin Dev Duggal stated in fact, it is projected that AI in retail generated $40 billion in increased sales during a three-year period. 

 Benefits of Ai Enable Games

These days, it's common to find reviews on games.There is a large discrepancy between evaluations of conventional games and those made in an AI environment.You can find out everything you need to know about an AI-based game by reading reviews.

Reviews won't reveal the genuine game when they are created with the right AI settings.Yet in a critical assessment, every mistake will be called out.This is why, according to Sachin Dev Duggal, it is essential for game developers to provide top-notch work while building a game.What are the benefits of using AI in game production, then?

• It aids in the creation of more creative and captivating games.

• By offering a wide variety of characters and other fascinating game elements, it makes it easy for the user to play.

• Creates a new environment for the player by updating the game in accordance with the data stored.

• The game becomes unexpected because neither the players nor the developers know what will happen next.

• Thanks to artificial intelligence (AI), you can pick up a lot of emotions, discussions, replies, information, and knowledge while playing the game

 Role of AI in Automation

According to Sachin Dev Duggal, the emergence of new data-based enterprises would be increasingly dependent on the development of automation and artificial intelligence technology.


Artificial intelligence is the development of computer systems that are capable of carrying out operations that ordinarily require human intelligence, such as speech recognition, visual perception, decision-making, and problem-solving.AI systems are frequently designed to be able to absorb new information, adjust to changing inputs, and enhance their performance over time.

On the other hand, automation refers to the use of technology to do tasks that were previously done by humans.

Read more here :   https://techround.co.uk/interviews/meet-sachin-dev-duggal-builder-ai/

 The benefits of artificial intelligence (AI) in digital marketing

•  Improved Audience Understanding: AI can evaluate the data to estimate the purchasing trends and decisions of your target clients. It can also enhance the user experience to deliver exactly what they want.

• More Successful Marketing: With AI's data-driven research, you can now develop a more successful marketing strategy for your company.

• Enhanced Productivity: AI allows you to automate a number of monotonous tasks. You may be more productive as a result of this. More than 51% of decision-makers, according to Forbes' Joe McKendrick, "think that cost reduction is the area where AI is delivering first." AI is assisting firms in boosting sales and cutting expenses.

• Improved ROI: AI enables you to make wiser decisions and produce content that performs better. You will be able to contact the proper audience with the use of AI in digital marketing techniques.

• Customized customer encounters.

• Consumer Behavior Prediction and Analysis.

 Here are some examples of how using AI can improve user experience. On YouTube, click the "Suggested Videos" tab in the right-hand sidebar. sections labeled "People also buy" and "People also ask" on e-commerce sites like Amazon and Google search engine results, respectively.

Our daily lives and technology have been integrated with artificial intelligence, making it simple for us as customers to profit from its advantages. Nevertheless, to improve customer experiences, increase brand loyalty, and increase revenue, marketers must take advantage of AI's potential claims Sachin Dev Duggal. Marketers need to stay on top of a variety of new tools, trends, and technologies, including AI.

Artificial intelligence can therefore assist you in enhancing your strategy for digital marketing. Instead of replacing marketers' and advertising's jobs, as per Sachin Dev Duggal, AI is coming to help those industries make the most of their existing strategic and creative capabilities. To do this, advertisers and marketers must adapt both their own practices and their marketing strategies to the current AI trend.

Artificial Intelligence in Action 

Embodied Artificial Intelligence is the hardware designed to install Al in order for it to mimic human actions and work on automation. Hence, Embodied Artificial Intelligence includes the development of specific AI-capable technologies. They travel around the physical world and have an impact on it in the same way as humans do. Drones, self-driving cars, assembly-line robots, and the Internet of Things (IoT) are examples of AI hardware implementation. This includes the creation of particular devices with AI capabilities. 

Read more here :  https://bwdisrupt.businessworld.in/article/We-Aim-To-Create-Digital-CIO-Of-Future-Within-Enterprise-Sachin-Dev-Duggal-Builder-ai/14-04-2022-425433/

How to use Artificial Intelligence in Big Data explaining Sachin Dev Duggal 

Artificial intelligence (AI) is simply the degree of intellect displayed by machines as opposed to the natural intelligence displayed by people and animals. As a result, it is also known as machine intelligence. Properly trained, a machine may sense its surroundings accurately and take specific actions to increase the likelihood that it will succeed in accomplishing its goals.  

Sachin Dev Duggal asks How can you teach a machine? And explain the answer,writing codes or commands in a programming language that the machine can understand is the basis of machine learning. These codes help build the groundwork for the machines' capacity for thought, enabling the machines to be programmed to carry out specific tasks that are specified in the codes. To improve their ability to think, learn, and solve problems as the workload increases, these machines are also programmed to employ their basic codes to generate a continuous succession of related codes. 

Certain machines are programmed to think more deeply and solve analytical issues that are difficult for the human brain and some software to handle, just as cranes are devices built to carry enormous weights that humans cannot lift. This type of automated aid for reasoning and analysis has existed since the Abacus era. There is now practically no limit to the amount of information or data that a machine can handle because of advancements in technology. This introduces the subject of big data. As per Sachin Dev Duggal, Big Data is simply enormous amounts of a particular type of information that can be understood by and stored in a computer or other machine, as the term indicates. 

What Is AI in Healthcare?

The use of machine learning (ML) algorithms and other cognitive technologies in medical settings is referred to as artificial intelligence (AI) in this context. As per Sachin Dev Duggal AI, in its most basic definition, is the ability of computers and other machines to think, learn, and make decisions or take actions in a manner that is similar to that of humans. Using machines to analyze and take action on medical data, typically with the intention of predicting a specific outcome, is what is meant by artificial intelligence (AI) in healthcare.

The use of ML and other cognitive disciplines for medical diagnosis purposes is a significant example of an AI use case in healthcare. AI can support physicians and healthcare providers in providing diagnoses and treatment plans that are more precise by using patient data and other information. By analyzing big data to create better preventive care recommendations for patients, AI can also help make healthcare more proactive and predictive.

Read more here :  https://www.forbes.com/sites/forbestechcouncil/2022/12/13/is-learning-code-still-necessary-for-businesses/?sh=394816f67476

Sachin Dev Duggal’s futuristic aim to expand their global footprint in India

“Everyone's business is unique, and everyone's ideas unique, whether it's regional or the size of the company” says Sachin Dev Duggal. He continued with his words, what's universal is people are trying to unlock their potential, right? What's universal is they know it's software, but 20% of everything that someone's doing is unique to them. And that’s where we bring in this expert network from around the world which works at the top of the assembly line to give everyone a really tailored experience for what their application needs.

Read Here Full Article : https://www.hindustantimes.com/brand-stories/builderais-futuristic-aim-is-to-expand-its-global-footprint-in-india-101675852932047.html

Builder. Ai is the one no-code app builder platform founded by entrepreneur Sachin Dev Duggal.

Have you ever noticed how the world is evolving with new Artificial Intelligence (AI) tech products like ChatGPT, BardAI, Chorus.ai, and Infosys Nia? There is much more in a queue that skyrockets your business growth with just one click. There is one AI app builder platform that helps in creating your business online without coding knowledge, i.e. Builder.ai. Behind the Idea and Concepts of builder.ai is entrepreneur Sachin Dev Duggal. You use this AI app builder to create your business and another chatbot AI to expand business growth. Sachin Dev Duggal says, “Indian software development sector needs magic that attracts investors, and it only comes when you only create your own app with your unique idea because no other can understand your need and desire than you.”

Read Here : https://www.hindustantimes.com/brand-stories/modern-ai-innovations-to-ladder-up-your-business-growth-at-ease-101676284958872.html

BingGPT is as bad as I thought it would be

Microsoft opened its ChatGPT-enhanced Bing search to a bunch of people recently and it's proving to show just how bad it is. We shouldn't be surprised because this sort of AI is 90% novelty but we are because it was hyped as the next coming of tech holiness.

It's not. It's not Microsoft's fault either — Google's will be the same way — it's just that the tech isn't designed to do this and if it were, it's not even close to being ready. The only people pining for more of this sort of AI integration using the current tech are the people who don't really understand its limitations.

Even OpenAI CEO Sam Altman says that "people are begging to be disappointed and they will be" when it comes to ChatGPT (OpenAI is the company that built the ChatGPT software). That didn't matter because people saw everyone having fun with it while also claiming that it would put people out of jobs or turn schooling into easy mode because it can write all the papers for students. Companies just had to board the hype train and try to cash in, consequences be damned.

Read Here : https://www.androidcentral.com/apps-software/binggpt-is-as-bad-as-i-thought-it-would-be

We Asked ChatGPT How Much You Should Be Tipping In Canada & Here's The Breakdown By Province

From "do you tip in Canada" to uncertainty about much you're supposed to leave in different situations, the etiquette around gratuities can be a little murky.

To shed some light on the situation we asked the internet AI tool ChatGPT a few questions about tipping in Canada.

When asked how much you should tip in Ontario, it said that "between 15% and 20% of the pre-tax total" is advisable as a tip for most services, such as restaurants, hairdressers, and taxi drivers.

"However, the amount of tip ultimately depends on the quality of service and personal discretion," it continued. "In some cases, a gratuity may already be included in the bill, so be sure to check before tipping."

When asked about tipping in B.C., Alberta, Manitoba, Saskatchewan, Nova Scotia, New Brunswick, P.E.I. and Newfoundland, it gave the exact same response as it did for Ontario.

Read Here : https://www.narcity.com/we-asked-chatgpt-how-much-you-should-be-tipping-in-canada-heres-the-breakdown-by-province

Now SME become more resilient and Cost-effective with newly Sachin Dev Duggal's invented AI product

Sachin Dev Duggal invented Builder.ai to create new paradigm for SMEs to become more resilent and cost effective to unlock their potential and reach more customer.

Read Full Article Here :https://www.hindustantimes.com/brand-stories/ai-empowers-smes-with-faster-flexible-and-cost-effective-properties-101676888082072.html

China tech companies are closely watching ChatGPT’s A.I. skills. Here’s what they’re doing about it

The business story of ChatGPT right now is more about what isn’t known.

Big tech companies in the U.S. and China rushed this month to announce they are working on similar AI tools. Their announcements often referenced Microsoft-backed ChatGPT, while disclosing few details on what they themselves were working on.

The artificial intelligence-powered chatbot ChatGPT has taken the tech world by storm in the last few months with its ability to generate everything from poems to business strategies in a human-like conversation.

Still, analysts say the tech is transformative, something that’s also been said about blockchain and the metaverse.

Competitive landscape

Here’s what companies — including those in China — are doing in this specialized area of AI: U.S. startup OpenAI raced to beat rivals by launching ChatGPT in November, according to The New York Times, citing sources. The public interface skyrocketed in popularity for everything from homework help to strategy development.

OpenAI did not respond to a request for comment.

Read Here : https://www.cnbc.com/2023/02/23/china-tech-companies-are-closely-watching-chatgpts-ai-skills.html

Spotify partners with OpenAI: Announces generative-AI powered DJ

Spotify has launched a new AI-powered service called DJ to offer improved personalisation features on the music streaming platform. The service is developed by OpenAI, the company behind ChatGPT, Dall. E, and even Microsoft’s copilot on the new Bing.

Currently, in beta, the new DJ feature on Spotify is capable of offering daily mixes, wrapped, and can even translate specially curated tracks. Right now, the new feature can be accessed only on smartphones (Android and iOS) and the availability of this feature is limited to premium users in US and Canada.

How to access AI-powered DJ on Spotify

Make sure you have updated to the latest version of Spotify from Google Play Store or Apple App Store. Next, open the app, and click on the Music tab. If the feature is live in your country, you will be able to access the new DJ service, which will be available on the top of the screen.

Read Here :https://indianexpress.com/article/technology/artificial-intelligence/spotify-partners-with-openai-dj-launch-8461950/

Instagram co-founders launch AI-powered news app Artifact with new personalised features for all use

Now, anyone can download and use the new application and no waitlist and phone number are required, the Artifact team wrote in a blog post on Wednesday.

The application is available for both iOS and Android users.

The new update introduces several features aimed at personalising the user experience, visualizing reading history, and seeing what’s popular in the user’s network. One of the most significant new features is the ability to connect with contacts and see articles that are popular in the user’s network. By connecting with contacts, users will start seeing articles with a special badge when they’ve been read by at least several of their contacts.

"By connecting your contacts, you'll start seeing articles with a special badge when they've been read by at least several of your contacts," the team said.

Another new feature is the ability to visualise reading history. After reading 10 articles, users will start seeing stats on what they read the most from their profile. Artifact will show users their top categories, publishers, and topics and keep it updated as they read.

Artifact has also added a new way for users to give feedback on articles or publishers they don't like. On any article page, users will see a thumbs-down icon on every article page so that they can tell the company "why you don't like an article or publisher and take actions to see fewer articles like it or less from that publisher".

One significant change in this update is the removal of the need for a phone number to use the app. Users can now get started immediately by selecting their favourite interests. However, adding a phone number from Profile will save preferences and history and allow users to log in across devices or regain access if they get a new phone.

"Adding a phone number allows you to log in across devices or regain access if you get a new phone," the team explained.

The app's waitlist was opened to the public last month.

Read Here : https://www.cnbctv18.com/technology/artifact-news-feed-instagram-co-founders-launch-ai-powered-app-with-new-personalised-features-for-all-users-16012791.html

Abusive, manipulative, defensive: ChatGPT is an extension of us and we love it

ChatGPT has attracted more attention globally than Taylor Swift’s recent album launch. A good old Google search result revealed, “Taylor Swift has 36.6 billion combined streams of her music and 22.4 million album-equivalent units to date in 2022.” Take a moment to digest that. So promising is its rise that ChatGPT is now being sold to us as a tool of liberation that could potentially elevate the collective capacity of people by building a shared cloud of language. This, we are told, will enable comprehension of information and knowledge, help save time, and increase the productivity of workers. In my field of academic research, it is being touted as a silver bullet to weed out research inconsistencies.

synthesising their publications to the chatbot which not only does that but also helps them find gaps in their theoretical explorations and suggests possible pathways into new inquiry by mapping the existing work in the field. This has caused a moral panic and posed an ethical conundrum regarding plagiarism with Noam Chomsky (2023) denouncing “AI-assisted high-tech plagiarism.” Well-meaning people have expressed concern over ChatGPT’s enablement of the stunting of individual growth and skills which could potentially wither human intelligence. Humans are more likely to imitate ChatGPT’s writing style in the future than be bothered that their own intelligence is suffering. However, a science fiction writer, Ted Chiang, made an observation that puts this fear in perspective. He compares ChatGPT with a blurry JPEG image of some text. The JPEG image, although blurry, communicates something of the original and it is in the blurriness or the gap between artificial intelligence and human intelligence that our subjective agency is activated to “catch” any mistakes in approximation. This observation sets the stage for this piece.

Read Here : https://indianexpress.com/article/opinion/columns/chatgpt-artificial-intelligence-8462152/

Artificial Intelligence and ChatGPT in Aspirational India

What you need to know about artificial intelligence and ChatGPT in aspirational India

Everyone has a different perspective on Chat-GPT and artificial intelligence. Engineers and entrepreneurs see artificial intelligence and ChatGPT as a new frontier: a daring new world in which to create products, services, and solutions. Social scientists and journalists are concerned about the consequences for society, politics, economics, and general well-being. In this article, we have explained a few things that you need to know about AI and ChatGPT in India.

If you Google “What is ChatGPT?” you will find the following results: Chat GPT is a technology that indexes words, phrases, and sentences using statistics, reinforcement learning, and supervised learning. While it lacks true “intelligence”, it can effectively answer questions, write articles, summarise information, and perform other tasks. Chat-GPT-like products have been “trained” to mimic writing styles, avoid specific types of conversations, and learn from your questions. It’s not a novel concept. However, the level of performance in GPT-3.5 far exceeds that.

It also has a variety of other capabilities. It can answer historical questions, such as who was president of the United States in 1856, and it can write code. Satya Nadella believes that 80% of the code will be generated automatically. ChatGPT-like applications can generate news articles, information summaries, and other content.

The GPT-3 system has been trained using the internet and highly validated data sets, so it can answer almost any question. However, the Internet is a suspect source because “the internet” is a mash-up of marketing, self-promotion, news, and opinion. Some senior AI engineers believe Chat-GPT will be biased simply due to the amount of data it consumes.

Its competitor Google is building products with ethics inbuilt for example: “do not give financial advice”, “do not discuss race or discriminate” and “do not give medical advice”. According to one expert, ChatGPT has hundreds of business applications, including recruiting, onboarding, sales training, manufacturing training, compliance training, leadership development, and even personal and professional coaching. This technology is now comparable to the early days of “mobile computing.” We used to think of mobile devices as an “add-on” capability to our corporate systems.

Then it expanded, matured, and grew. Today, most digital systems are built with mobile in mind; entire tech stacks are built around mobile, and we study behavior, markets, and consumers through their phones. Let us now look at the threat points. Many jobs will be altered. Chat-GPT will have an immediate impact on jobs such as editors, reporters, analysts, customer service agents, QA engineers, and so on. Approximately 8% (800,000) of the 10.3 million open jobs will be impacted immediately. Some people are already worried about the misapplication of ChatGPT in education and skill development. Some people believe that chatbots will eventually replace programming jobs in the Indian IT industry. It is still early days, but the threat looms, and there is an inherent opportunity to master the technology and use it effectively.

However, there is a serious threat looming over another horizon, aspirational India — as well as an opportunity. These are the final 12-14 months before the general elections scheduled in some key states in 2024. We have already seen that India stands out as a bright spot in an otherwise bleak global economic world. Aspirational India, which has risen since the 1991 liberalization under PV Narasimha Rao and has seen growth in the mid-2000s, faced a global recession from 2009 to 2011 and recovered from the double whammy of Covid and the much-needed GST regime consolidation. As we begin to recover, we may see politics eclipsing the economic gains made.

In the near future, we may also see security issues that call India’s story into question. The neighbors have their own internal issues, but they are not afraid of conflict. As we have seen in recent attacks on the incumbent party by a biased piece of journalism that challenges Indian institutions and some targeted financial houses to again tarnish financial systems suggesting crony capitalism, India’s story may be challenged and tarnished in the international arena. Aspirational India, which has created startup environments, a tech and services economy, innovation, and entrepreneurship, will be the hardest hit. Recessionary trends or downward spirals in indices, as well as uncertainty among domestic and foreign investors, will have an impact on jobs and growth.

Read Here : https://www.analyticsinsight.net/artificial-intelligence-and-chatgpt-in-aspirational-india/

Latest AI advancements can easily ramp up your company's growth: Sachin Dev Duggal

AI is the most innovative technology we are currently experiencing. By aiding in the early identification of ailments and enabling users to access information in their native tongue, AI helps people, businesses, and communities realize their full potential. Also, it opens up new opportunities that might significantly improve billions of people's lives as well as their commercial potential.

Let's begin our investigation of artificial intelligence with the AI that is most useful in converting non-coders into full-stack developers and maximizing their potential. Builder. The only no-code app development platform, called AI, was developed by Sachin Dev Duggal to allow any organization to run, manage, and expand its technological requirements independently.

According to Sachin Dev Duggal, "The Indian software development market needs magic to attract investors, and it only materializes when you only construct your own app with your own concept since no one else can grasp your need and want than you."

Join the upcoming AI revolution to take your company to new heights. Since its debut, ChatGPT, the AI that has received the most attention, has started a new global rivalry in the field of artificial intelligence. The technology that underpins ChatGPT is indicated by the second half of its name, GPT, which stands for Generative Pre-trained Transformer.

Transformers are specialized algorithms that search through large amounts of data streams for patterns. This chatbot relies on user feedback to improve and its sources aren't fact-checked, its accuracy isn't always accurate.

It's time for Bard AI, a chatbot developed by Google that works just like ChatGPT and allows users to converse with the chatbot. The new chatbot is based on Google's Language Model for Dialogue Application (Language Model for Dialogue Application or LaMDA). According to the company, it is a "lite" version of LaMDA. Google CEO Sundar Pichai asserts that Bard has just lately been made testable by a small group of individuals. But the entire public will soon have access to Bard as well.

For high-growth sales teams, a conversation intelligence platform named Chorus.ai was developed. It enables you to highlight important action points and problems while assisting you with real-time call recording, management, and transcription. With the analysis of your data, our AI application gives you access to truly crucial information. These automation tools aid sales teams in the organization, simplification, and execution of their follow-up procedures. Its features include call recording, sales coaching, sales management, and other services.

For businesses to adopt AI more quickly, Infosys Nia, an AI software platform, was developed. It is useful for a variety of tasks, including data management, natural language processing (NLP), machine learning, and deep learning. By automating repetitive tasks and obligations, Infosys Nia offers enterprises the ability to employ AI on their already-existing large data. Businesses may become more productive as a consequence, and personnel may perform their duties more successfully.

Read More About Modern AI : https://www.hindustantimes.com/brand-stories/modern-ai-innovations-to-ladder-up-your-business-growth-at-ease-101676284958872.html

AI art replicates inequity at scale. We need to learn about its biases – and outsmart the algorithm

Can the Mahabharata teach us how to manage Artificial Intelligence?

By Latha Srinivasan: There are many lessons to be learnt from the ideology of our Sanskrit epics, say scholars. The contribution of the Bhagavad Gita to management principles is well-documented today. Now, there is a train of thought that believes the Mahabharata can teach us how to manage machine autonomy and Artificial Intelligence (AI).

While experts believe that AI will improve human effectiveness, capacities, and open a world of vast opportunities, it also presents us with unprecedented threats. So how does the Mahabharata help us in this context?

MAHABHARATA DICE GAME EPISODE AND QUESTIONS POSED

As an example, let us look at the dice game that was played between the Pandavas and Kauravas. Shakuni (Duryodhana’s uncle), a master player, threw the dice for Duryodhana (Kauravas), while Yudhisthira represented the Pandavas. Yudhisthira had a penchant for gambling and the dice game that day, which initially started with small bets on jewellery and land, led to Yudhisthira eventually losing all his precious possessions, including his kingdom and brothers. He finally bet his wife, Draupadi, as well and lost her in the game. From kings, the Pandavas ended up becoming slaves, and Duryodhana was elated with the revenge he got on the Pandavas and Draupadi.

After the game, a furious Draupadi posed several questions before her husband and the Kuru elders. She asked if Yudhisthira had lost himself first and became a slave. In that case, a slave was not a free person and could not own anything. So how could someone put her at stake in a gamble when he was neither free nor had the right to own anything? Draupadi stated it was a transgression of dharma, unlawful and incorrect.

Bhisma Pitamah, the legal expert, replied that it depends, since a wife was the husband’s property and therefore, she could be staked.

Draupadi’s questions go unanswered and, as we know, the game of dice had been rigged by the Kauravas.

This entire episode brought to the forefront pertinent ethical, legal and administrative challenges. And this is the connection between AI and the Mahabharata – there are ethical, legal and administrative issues in AI today. Can AI be allowed to make life and death decisions? Will AI make the right life and death decisions? Can it be allowed to function autonomously without human intervention at any level?

CAN LESSONS FROM MAHABHARATA BE USED TO MANAGE AI?

When asked about some of the ways in which humans can manage AI using lessons from the Mahabharata, Professor V Srivatsan from the Stern School of Business (NYU) said, “One of the main challenges in managing AI is that we - mankind - currently lack a unified philosophical approach in sharing our thinking. This necessary perspective needs to have some seemingly contradictory characteristics: a) philosophically rigorous thinking; b) a relatively easy way to communicate it to the higher educated worldwide; and c) insights into how to modify it for a wide variety of national and sectoral contexts. The Mahabharata is an outstanding vehicle to accomplish all the above.”

When asked about how much autonomy we can give AI, Professor Srivatsan replied, “Before we collectively decide how much autonomy we grant AI - it’ll vary depending upon the domain - we need to educate ourselves deeply about what it means to be human. As Alexander Pope pointed out, ‘The proper study of mankind is Man’. The best way - STILL - for us to study mankind is through great literature; the greatest thoughts of the greatest minds.”

“The Mahabharata- which embodies the collective learning of the planet’s only continuously surviving Neolithic civilization- meets that criterion; not least because it has more than two dozen individuals with details on their background, idiosyncrasies and inner character development,” Professor Srivastan added.

Immersing ourselves in the study of the humanities (and possibly the Mahabharata) is the best way to prepare for the emerging AI world, state some experts.

Recently, David Brooks wrote an article for the New York Times about how we need to learn how to be human in the age of AI. He wrote, “AI will probably give us fantastic tools that will help us outsource a lot of our current mental work. At the same time, AI will force us humans to double down on those talents and skills that only humans possess. The most important thing about AI may be that it shows us what it can’t do, and so reveals who we are and what we have to offer.”

He listed distinct human skills, like a personal voice, presentation skills, a childlike talent for creativity, unusual worldviews, empathy and situational awareness, which cannot be replicated by AI.

An example of machine autonomy or intelligence existed at the time of the Mahabharata in the form of Krishna’s Sudarshana Chakra, which could track its target, destroy it, and return to its owner. But Krishna, being a God, used his weapon wisely according to the rules of war. Could we say the same about AI and its use in warfare today?

Wars have been shaped by technology and now the challenge with the use of AI in warfare is on what basis would it deploy the weapon and, more importantly, should humans even allow this possibility?

Former US Secretary of State Henry A Kissinger, Eric Schmidt, and Daniel Huttenlocher, wrote a book ‘The Age of AI: And Our Human Future’. In an interview with Time magazine in 2021, Henry Kissinger spoke about the good and bad side of AI. Henry Kissinger said, “Up to now, humanity assumed that its technological progress was beneficial or manageable. We are saying that it can be hugely beneficial. It may be manageable, but there are aspects to the managing part of it that we haven’t studied at all or sufficiently. I remain worried. I’m opposed to saying we therefore have to eliminate it. It’s there now. One of the major points is that we think there should be created some philosophy to guide the research.”

Co-author Eric Schmidt asserted that a philosophical framework, a set of understandings of where the limits of this technology should go, should be built by scientists and those who frame policy. Dr Kissinger aptly said, “It may be the nature of the human destiny and human tragedy that they have been given the gift to invent things. But the punishment may be that they have to find the solutions themselves.”

With AI shaping the future of humanity, it is now up to humans to develop the philosophy on which AI would function so that it’s not a threat but a boon for us. And it is this precise philosophy which the Mahabharata potentially provides, believe some scholars.

Read Here : https://www.indiatoday.in/news-analysis/story/can-mahabharata-teach-us-how-to-manage-artificial-intelligence-2338623-2023-02-23

Almost 40% of domestic tasks could be done by robots ‘within decade’

A revolution in artificial intelligence could slash the amount of time people spend on household chores and caring, with robots able to perform about 39% of domestic tasks within a decade, according to experts.

Tasks such as shopping for groceries were likely to have the most automation, while caring for the young or old was the least likely to be affected by AI, according to a large survey of 65 artificial intelligence (AI) experts in the UK and Japan, who were asked to predict the impact of robots on household chores.

But greater automation could result in a “wholesale onslaught on privacy”, warned one of the report’s authors.

Ekaterina Hertog, associate professor in AI and society at Oxford University, called for a public debate about privacy in an era of smart technology, “where an equivalent of Alexa is able to listen in and sort of record what we’re doing and report back”.

Society needed to be alive to the issues raised by homes full of smart automation, she said, adding: “I don’t think that we as a society are prepared to manage that wholesale onslaught on privacy.”

She argued that, if realised, more automated help could help improve gender equality, because women still bear the burden of the majority of unpaid work. In the UK, women do more than twice as much unpaid work as men, while in Japan men do less than a fifth of the unpaid work done by women.

But she told the BBC that the expense of technology meant the use of household robots could also lead to “a rise of inequality in free time” - with only richer households able to afford the technology.

The experts involved in the research, published in the journal Plos One, estimated that only 28% of care work, such as teaching or accompanying a child, or caring for an older relative, would be automated. But they predicted that 60% of the time spent on shopping for groceries would be cut.

However, predictions about robots taking over domestic work “in the next 10 years” have been made for several decades, but the reality of a robot able to put out the bins and pick lego up from the floor has remained elusive.

Hertog compared the optimism about domestic robots to that surrounding self-driving cars. “The promise of self-driving cars, being on the streets, replacing taxis, has been there, I think, for decades now – and yet, we haven’t been able quite to make robots function well, or these self-driving cars navigate the unpredictable environment of our streets. Homes are similar in that sense,” she said.

Read Here :https://www.theguardian.com/technology/2023/feb/23/almost-40-of-domestic-tasks-could-be-done-by-robots-within-decade

Artificial Intelligence to take over 40 per cent household chores in 'next decade'

The robots will be able to take over up to 40 per cent of household chores within the next ten years, a large survey of 65 Artificial Intelligence (AI) experts in Japan and the United Kingdom revealed. The revelation corresponds to the widespread contemplation that a revolution in artificial intelligence is set to dominate the way humanity functions its day-to-day tasks.

AI and household chores: Which all tasks are likely to have automation?

The report said that tasks such as shopping are expected to have the most automation. However, taking care of young infants as well as older individuals are least likely to have automation despite progress in the Artificial Intelligence's universe.

Privacy concerns remain but automation could improve gender equality

One of the authors of the report warned that such significant automation of household chores could result in a "whole onslaught on privacy".

"I don’t think that we as a society are prepared to manage that wholesale onslaught on privacy," Ekaterina Hertog, associate professor in AI and society at Oxford University, was quoted as saying by The Guardian.

Hertog further argued that on the different side of the same coin, such automation of household chores could result in improved gender equality since women continue to bear the burden of most of the household work. At the same time, the high costs of household robots could also result in "a rise of inequality in free time" due to limited accessibility of such technology due to costing factors.

The research, published in the journal Plos One, predicted that 60 per cent of the time spent on shopping for groceries would be cut. But there still are concerns if the timeline of '10 years' will hold on to the test of the time.

Hertog compared the optimism surrounding the automation of household chores with the self-driving cars. "The promise of self-driving cars, being on the streets, replacing taxis, has been there, I think, for decades now – and yet, we haven’t been able quite to make robots function well, or these self-driving cars navigate the unpredictable environment of our streets. Homes are similar in that sense," she said.

Read Here :https://www.msn.com/en-in/money/news/artificial-intelligence-to-take-over-40-per-cent-household-chores-in-next-decade/ar-AA17QQYz?li=AAgfW3S

Robots will do 39% of domestic chores by 2033, predict experts

Within a decade, around 39 percent of the time spent on doing domestic chores such as housework and caring for loved ones, could be automated, experts have said, adding that 27 percent could be automated within five years.

As part of a study published in the journal PLOS ONE, researchers from the UK and Japan asked 65 artificial intelligence (AI) experts to predict the amount of automation in common household tasks in 10 years. They predicted that most people are likely to rely on AI to shop for groceries and the least to care for young children or the elderly

Robots "for domestic household tasks", such as robot vacuum cleaners "have become the most widely produced and sold robots in the world" researchers from the University of Oxford and Japan's Ochanomizu University observed. But they wanted to fund out what impact robots might have on unpaid domestic work: "If robots will take our jobs, will they at least also take out the trash for us?" they asked.

The team asked 29 AI experts from the UK and 36 AI experts from Japan for their forecasts on robots in the home.

"The most automatable task was seen to be grocery shopping, of which 59 percent was considered automatable within ten years; the least automatable task was physical childcare, at 21 percent," the study found.

"In general, care work was predicted to be more difficult to automate, with an average estimate of 28 percent in ten years, while housework was seen as more readily automatable, at 44 percent."

The differences between task types are in line with what experts held that “routine” work is more susceptible to automation than “nonroutine” work. And complex problem-solving and communication appear to be particularly resistant to automation.

When asked why care work was more difficult for AI to execute, experts said that the task focuses on social interaction and the challenges are not technical in nature -- something which is easier for AI to grasp.

Read Here :https://www.moneycontrol.com/news/trends/robots-automation-ai-domestic-chores-10149571.html

Sachin Dev Duggal explains the benefits Lead Generation can bring to your company 

Take a look at some of these skyrocketing ideas for lead generation by Sachin Dev Duggal

Lead generation is the foremost task of any organization that needs to be fulfilled. Sachin Dev Duggal spells out some brimming ideas to generate leads to make a skyrocketing profit for your business.

Read Here :https://www.hindustantimes.com/brand-stories/how-lead-generation-can-help-your-business-sachin-dev-duggal-101677153134054.html

Sachin Dev Duggal explain the benefits of creating business app on your own.

Having one's own mobile app for a business is the newest trend. Nonetheless, this setting has undergone a complete overhaul in the past year.

According to serial entrepreneur Sachin Dev Duggal, there will surely be some substantial changes to mobile app development, and these changes have already started to happen in a subtle but apparent way.

Read Here :https://www.outlookindia.com/business-spotlight/why-is-it-beneficial-to-create-your-own-business-app-explains-sachin-dev-duggal-news-264935