The Ravit Show

Which machine learning algorithm do you find most impactful in tech today? Tech companies rely on a variety of machine learning algorithms to solve complex problems and drive innovation. Here are seven of the most popular ones that power everything from recommendations to image recognition -- ?? Random Forest – An ensemble method based on decision trees, prized for its accuracy and versatility in classification and regression tasks ?? Gradient Boosting Machines – Known for boosting decision tree performance, this algorithm excels in both regression and classification ?? Convolutional Neural Networks (CNNs) – Essential for image recognition and computer vision, CNNs power applications from facial recognition to medical imaging ?? Recurrent Neural Networks (RNNs) – Ideal for sequence data, such as time series or language processing, making them crucial for NLP tasks ?? Support Vector Machines (SVMs) – Effective for complex classification and regression, especially with intricate decision boundaries ?? K-Means Clustering – A popular unsupervised algorithm for clustering, widely used in customer segmentation and pattern recognition These algorithms have become cornerstones in the industry, helping tech companies deliver powerful and intelligent solutions. #data #ml #theravitshow

OpenAI and Google Urge US to Secure AI Leadership Amid Global Competition Call for Urgent Action OpenAI and Google have urged the US government to take decisive action to maintain its leadership in artificial intelligence. In separate letters to the Office of Science and Technology Policy, both companies warned of increasing competition, particularly from China, and emphasized the need for a strategic national AI policy. AI as the Next Technological Revolution OpenAI CEO Sam Altman compared AI's impact to historical innovations like the printing press and computers, highlighting its potential to drive economic prosperity. The company stressed the importance of "freedom of intelligence," advocating for open access to AGI while preventing bureaucratic constraints and authoritarian control. Google’s Three-Point AI Strategy Google outlined a national AI roadmap focused on: 1. Investment in AI infrastructure, including energy policies and export controls. 2. Government AI adoption, urging streamlined procurement and multi-vendor solutions. 3. Global AI leadership, promoting technical standards and international AI governance. Policy Recommendations and Competitive Risks Both companies emphasized the need for policies that support AI innovation, workforce development, and international competitiveness. OpenAI warned that America’s AI lead is narrowing, while Google stressed that policy decisions will shape the outcome of the global AI race. “A pro-innovation approach is crucial to ensuring AI benefits everyone while protecting national security,” Google stated.

Google to Replace Google Assistant with Gemini on Android Devices Google announced that it will phase out Google Assistant on most mobile devices later this year, replacing it with Gemini, its more advanced AI assistant. The transition will begin in the coming months, with tablets, cars, headphones, watches, and home devices like speakers, displays, and TVs also set to receive Gemini-powered upgrades. What This Means for Users Until the transition is complete, Google Assistant will continue to function, but it will eventually be removed from mobile app stores. Google assures users that Gemini will integrate essential Assistant features, including music playback, timers, and lock screen actions, ensuring a seamless switch. Why the Change? The move aligns with Google's broader AI strategy, following its decision to launch the Pixel 9 series with Gemini as the default assistant. With enhanced capabilities like Gemini Live and Deep Research, Google positions Gemini as a more powerful, intelligent, and context-aware AI assistant compared to its predecessor. What’s Next? Google will provide more details in the coming months as it continues refining the Gemini experience. Users can expect expanded functionality and deeper AI integration, making Gemini a central part of Google’s AI-driven ecosystem.

China’s Manus AI Agent: A Glimpse into Artificial General Intelligence? Chinese AI startup Butterfly Effect has unveiled Manus, an advanced AI agent that operates autonomously, without requiring step-by-step human instructions. Unlike traditional large language models (LLMs) such as ChatGPT, Manus uses multiple AI models in a multi-agent system to execute complex tasks—marking a significant step toward Artificial General Intelligence (AGI). Manus vs. Traditional AI Chatbots Unlike chatbots that generate text-based responses, Manus can autonomously complete tasks like coding, data analysis, and web navigation. Users have already reported creating playable video games and designing websites with simple prompts. Compared to OpenAI’s ChatGPT, Manus provides more in-depth responses but takes longer due to its extensive research capabilities. Challenges & Limitations Despite its promise, Manus is not without flaws. Users have reported crashes, infinite feedback loops, and incorrect assumptions. Chief Scientist Peak Ji acknowledged these issues, calling them part of the early development phase. Nonetheless, the AI’s potential has already generated significant interest, with limited invite-only access fueling online buzz. The Future of AI Agents With AI moving toward greater autonomy, Manus could be a sign of what’s next in AGI development. Unlike chatbots that require frequent guidance, Manus independently starts and completes tasks, adjusting its approach dynamically. As companies like OpenAI, Google, and Anthropic race to develop similar AI agents, Manus may represent the dawn of a new AI era—one that brings both innovation and new ethical challenges.

Infosys Narayana Murthy Criticizes AI Hype in India: ‘Silly, Old Programs’ Infosys founder Narayana Murthy has raised concerns over the growing artificial intelligence (AI) hype in India, calling much of it a mere trend rather than true innovation. Speaking at TiE Con Mumbai 2025, he noted that many ordinary programs are being wrongly labeled as AI, cautioning against blindly following the trend. AI: A Buzzword Without Substance? Murthy highlighted that AI has become a “fashion” in India, with many companies and individuals branding basic software programs as AI-powered solutions. He urged businesses to focus on real advancements rather than marketing gimmicks, stating that AI should be used meaningfully rather than as a buzzword to attract attention. Understanding AI: Machine Learning & Deep Learning To clarify misconceptions, Murthy explained the core principles of AI—machine learning and deep learning. He described machine learning as a method of large-scale correlation and prediction using vast data, while deep learning attempts to mimic human brain functions to improve decision-making. A Call for Genuine AI Innovation Murthy’s remarks serve as a wake-up call for Indian tech firms and startups to develop AI solutions with real impact. Instead of merely capitalizing on the AI wave, he urged companies to focus on genuine technological advancements that drive meaningful change and innovation in the industry.

Want to know more about the Architectural changes need for next GenAI systems? In this episode, we dived into open architectures and open data formats—critical enablers for organizations embracing AI at scale. From ensuring data quality to tackling migration challenges, we unpacked everything you need to know to make your data AI-ready. Co-Host -- Mona Rakibe, Co-Founder of Telmai Our expert panel: ?? Piethein Strengholt – Chief Data Officer, Microsoft Netherlands, and author of Data Management at Scale ?? Scott Haines – Distinguished Software Engineer, Nike, known for expertise in streaming and data lakes ?? Pankaj Yawale – Director of Data Architecture, ZoomInfo, leading innovations in large-scale data environments What’s on the agenda? ? Why open architecture matters for AI ? Decoupling systems: Business value and measurable impact ? Architectural changes needed for next-gen AI systems ? Ensuring data quality and governance in open environments We also highlighted AWS's latest advancements with Iceberg, which simplify data lake analytics and metadata management. ?? Whether you’re an AI leader, data architect, or practitioner, this session will leave you with actionable strategies to elevate your data game! Link to the complete interview in the comments ?? #data #ai #openarchitecture #telmai #theravitshow

Intel Corporation Appoints Lip-Bu Tan as CEO to Drive Strategic Growth Intel Corporation has named Lip-Bu Tan as its new Chief Executive Officer, effective March 18, 2025. Tan, a veteran technology leader with deep expertise in the semiconductor industry, will also rejoin Intel’s board of directors after stepping down in August 2024. He succeeds David Zinsner and Michelle Johnston Holthaus, who had been serving as interim co-CEOs. Bringing Leadership and Innovation to Intel Tan, the former CEO of Cadence Design Systems, is widely respected for transforming businesses through customer-driven innovation. Under his leadership, Cadence more than doubled its revenue, expanded margins, and achieved a 3,200% stock price appreciation. His deep understanding of computing platforms, AI, and chip design makes him a strong fit to steer Intel’s technology and foundry strategy forward. A Vision for Intel’s Future Expressing enthusiasm for his new role, Tan highlighted Intel’s strengths—a robust computing platform, vast customer base, and expanding manufacturing footprint—as key drivers of future success. Frank D. Yeary, Intel’s interim executive chair, emphasized Tan’s ability to drive innovation, enhance customer engagement, and accelerate Intel’s turnaround efforts. Industry Impact and Strategic Direction As Intel navigates a competitive AI-driven semiconductor market, Tan’s leadership is expected to strengthen execution, advance process technology, and help regain investor confidence. With extensive board experience at Credo Technology Group and Schneider Electric, Tan’s strategic vision will be pivotal in reshaping Intel’s business for long-term growth.

OpenAI Unveils ‘Responses’ API to Power Custom AI Agents OpenAI has introduced Responses, a new API designed to help businesses build their own AI agents, marking a significant upgrade over the previous Assistants API. The new tool offers enhanced capabilities, enabling companies to integrate AI-driven automation into their workflows with greater efficiency. Empowering Businesses with AI With Responses, organizations can develop AI agents tailored to their specific needs, from searching internal documents to retrieving web-based insights. The update allows companies to seamlessly embed Operator and Deep Research, two AI agents already available in ChatGPT, into their own applications. Expanding AI’s Reach Beyond ChatGPT This launch signals OpenAI’s push to expand AI integration across industries, giving businesses greater control over how they deploy generative AI. As AI adoption grows, Responses aims to streamline automation and enhance productivity across sectors.

If you want to stay ahead, NVIDIA GTC 2025 is the place to be. The Ravit Show be there in person again this year, covering the event as Press, and I can’t wait to dive into the latest breakthroughs in AI, accelerated computing, and deep learning. The best part? You can attend virtually for FREE! No matter where you are, you can be part of the biggest AI event of the year. Register for FREE — https://nvda.ws/4hsosoV Last year, GTC was an incredible experience—meeting industry pioneers, seeing firsthand how AI is transforming everything from healthcare to robotics, and learning about the latest advancements shaping our world. This year promises to be even bigger, with Jensen Huang’s keynote setting the stage for what’s next. Why you should attend GTC: ? Jensen’s Keynote – Get the latest insights from the leader in AI and computing ? Expert-Led Sessions – Learn from the top minds in AI, deep learning, and more ? Breakthrough Demos – See cutting-edge innovations in action ? Networking Opportunities – Connect with industry leaders and researchers shaping the future If you’re passionate about AI, this is the event to watch. Register now and don’t miss out: https://nvda.ws/4hsosoV #data #ai #gtc #nvidia #theravitshow

Cartesia Secures $64M Series A to Advance Voice AI Innovation Cartesia, a voice AI startup spun out of Stanford's AI Lab, has raised $64 million in a Series A round led by Kleiner Perkins, with participation from Index Ventures, Lightspeed, A, Factory, Greycroft, Dell Technologies Capital, and Samsung Ventures*. The funding brings Cartesia’s total capital to $91 million, accelerating its efforts to redefine real-time voice AI. Building the Future of AI-Powered Voice Interaction Founded in 2023 by Karan Goel, Arjun Desai, Brandon Yang, and Albert Gu, alongside Stanford AI luminary Chris Ré, Cartesia is pioneering low-latency AI models that cut computational costs while enhancing scalability. Its flagship model, Sonic, has already attracted 10,000+ customers, including Quora, Cresta, and Rasa, by reducing latency from 90 to 45 milliseconds—a breakthrough in real-time AI responsiveness. Bridging AI with Scalable Applications Cartesia aims to optimize AI for broad-scale deployment, enabling businesses to seamlessly integrate AI-driven voice solutions across sectors. From customer support automation to digital avatars, Cartesia’s technology is designed to support enterprises as they scale, ensuring efficiency without compromising performance. Expanding AI’s Reach in 2025 and Beyond With 2025 poised as a pivotal year for voice AI, Cartesia is doubling down on its mission to transform human-computer interactions. Backed by top-tier investors and fueled by Stanford-driven innovation, Cartesia is set to push the boundaries of real-time, generative voice AI for a new era of intelligent automation.