The Ravit Show

Ravit Jain
  • 0.0 (0)
  • 科技
  • 一周一更

The Ravit Show aims to interview interesting guests, panels, companies and help the community to gain valuable insights and trends in the Data Science and AI space! The show has CEOs, CTOs, Professors, Tech Authors, Data Scientists, Data Engineers, Data Analysts and many more from the industry and academia side. We do live shows on LinkedIn, YouTube, Facebook and other platforms. The motto of The Ravit Show is to the Data Science/AI community grow together!

  1. 19小时前

    Gartner Magic Quadrant Data Integration Visionary: K2view

    Gartner has named K2view a Visionary in the 2025 Magic Quadrant for Data Integration Tools, and they have moved up inside the Visionary quadrant. This is a big signal for anyone who cares about data and AI in the enterprise.I had to cover this news in person and what better place than my friend, Ronen Schwartz’s home in Palo Alto, talking to him about what this actually means. We did not just speak about a report. We spoke about whether data integration still matters in an AI world and why K2View’s approach is getting attention right now.Here is how I see it.- First, data integration is more relevant than ever. Your AI agents, copilots, and analytics are only as good as the data foundation behind them. K2View’s bet has been simple to understand. Give every business domain a clean, real time, governed view of its data, and make it available to any use case, including AI.- Second, the move up in the Visionary quadrant is about more than a label. It reflects how K2View is executing on this idea of “AI ready data,” not just talking about it. They are helping customers move away from scattered pipelines to a consistent way of delivering trustworthy data products into AI, analytics, and operations.- Third, when you compare their position with the large leaders, you see a different angle. The big platforms are broad. K2View is sharp and focused.They model data around real business entities, not just tablesThey support real time views without forcing you into one storage patternThey are designing with GenAI and agentic AI in mind from day oneFinally, the strategic outlook. Ronen is very clear that this is not about selling “yet another integration tool.” It is about being the data layer that lets enterprises move faster with AI while staying in control of privacy, compliance, and performance.For leaders who are serious about AI and tired of slideware, K2View’s move in the Magic Quadrant is one of those signals worth paying attention to.#data #ai #gartner #gartnermagicquadrant #agenticai #agents #k2view #theravitshow

    14 分钟

  2. 21小时前

    Why NVIDIA’s AI Data Platform Is the Blueprint — and Hammerspace Is the Engine

    Some conversations shift how you think about the future of AI. This one did. I just sat down with David Flynn, Founder and CEO of Hammerspace, to talk about something enterprises rarely discuss openly: the real engine behind AI is no longer compute. It is data. We went deep into why NVIDIA’s AI Data Platform has become the blueprint for modern AI architecture and why Hammerspace is emerging as the layer that actually makes this blueprint real for enterprises. David broke down how the industry is moving from building AI around compute to building AI around data. He talked about what the AI Anywhere era looks like, and why the next generation of AI systems will need a global, unified view of data across cloud, edge, and physical environments. We also talked about the partnership with NVIDIA, how it boosts the productivity of agentic AI, and why enterprises will need data that can move as fast as their models. David shared how Hammerspace is preparing for what comes next in 2026 and beyond, from scale to power efficiency to open standards. This is one of those conversations that gives you clarity on where the industry is going and why data architecture is about to become the biggest competitive advantage. #data #ai #nvidia #hammerspace #gpu #enterprise #agenticai #theravitshow

    30 分钟

  3. 2天前

    What NVIDIA’s AI Data Platform Means for Enterprise AI and How Hammerspace Makes It a Reality

    AI doesn’t fail because of GPUs. It fails because of data. I had a blast chatting with Jeff Echols, Vice President, AI and Strategic Partners at Hammerspace, from NVIDIA GTC in Washington. We talked about the part of AI nobody is fixing fast enough: getting data to GPUs at the speed the GPUs need it. Jeff breaks down what makes the Hammerspace AI Data Platform different from traditional AI storage. This isn’t “more storage.” It’s orchestration. Move data globally. Feed it to the right workload. Keep GPUs busy instead of waiting. We also got into MCP and why an intelligent data control layer is now core to any real AI strategy, plus how Hammerspace lines up with the NVIDIA AI Data Platform reference design so enterprises can actually run this in production, not just in a lab. And we talked Tier 0. If you want GPU ROI, Tier 0 is about one thing: keep the GPUs fed at full speed. If you’re trying to scale AI past a pilot, watch this. #data #ai #nvidiagtc #nvidia #hammerspace #gpu #theravitshow

    8 分钟

  4. 2天前

    HPE Agentic Smart City Solution

    AI in the public sector isn’t a pilot anymore. It’s running in the real world. Check out my conversation from NVIDIA GTC in Washington with Robin Braun, VP AI Business Development, Hybrid Cloud at Hewlett Packard Enterprise, and Russell Forrest, Town Manager of Town of Vail. This one is important because it’s about AI for cities, not just AI for big tech. I had a blast interviewing both Robin and Russell. We talked about how HPE is using AI to tackle real problems every city deals with: traffic, safety, and energy efficiency. Robin walked through how you build a smarter, more connected city by turning live data into decisions that actually help people on the ground. Russell brought the city view from Vail. He explained what it takes to move from “we’re testing AI” to “we’re using this in operations.” We got into risk, cost, and how you deploy without adding complexity or slowing down public services. We also discussed agentic AI. Not as a buzzword, but as something that can help a town react in real time while still keeping humans in control. Better safety. Better visitor experience. Better use of resources. Same team. This is AI as public service infrastructure. Full interview is now live on LinkedIn and YouTube. #data #ai #nvidiagtc #nvidia #hammerspace #gpu #storage #theravitshow

    14 分钟

  5. 4天前

    HPE’s Path to Sovereign AI: Securing Data, Enabling Innovation

    Public sector AI is moving fast. The big question is how to build it the right way. I had a blast chatting with Andrew Wheeler, Hewlett Packard Enterprise Fellow and Vice President at Hewlett Packard Labs and HPC & AI Advanced Development at NVIDIA GTC in Washington, DC. We talked about: * How HPE helps agencies build and scale sovereign AI ecosystems * Why the public sector is a core focus for HPE in AI * Practical steps for data sovereignty, compliance, and security without slowing innovation * Where sovereign AI shows up first: government, defense, citizen services, large-scale research * How HPC and supercomputing power national-scale AI * What quantum could unlock for government programs and where HPE fits If you care about trusted AI for cities, states, and national labs, this one is worth a watch. Full interview now live!!!! #data #ai #hpe #nvidiagtc #gtc2025 #gpu #sovereign #nvidia #theravitshow

    9 分钟

  6. 12月3日

    Inside the AI Factory: How DDN is Powering the Next Wave of Enterprise AI

    AI ROI is now the real test. I got a chance to chat Joe Corvaia, SVP Sales at DDN at NVIDIA GTC in Washington. This one is for CEOs and exec teams who are being pushed to “do AI” but still can’t show a return. We started with a simple question. Why are some companies actually getting ROI from AI while others are still stuck in pilots. Joe was very direct on what separates the ones who are scaling from the ones who are still presenting slides. We talked about infrastructure as a board-level strategy. Not just “buy more GPUs,” but “are you using the GPUs you already bought.” Joe walked through how data infrastructure and data flow have to be part of the conversation in the boardroom, not just in IT. We got into AI factories and the new DDN Enterprise AI HyperPOD. Built with Supermicro and accelerated by NVIDIA, HyperPOD is designed to take teams from first deployment to serious scale. The idea is you should be able to stand up production AI without rebuilding the stack every time you grow the workload. Joe also broke down why platforms like HyperPOD, and GPU-aware networking and acceleration like NVIDIA BlueField 4, are about more than performance. They are about efficiency. Max GPU utilization. No idle spend. Faster time to value. This matters not just for big tech, but for regulated industries and sovereign AI programs that need capability and control. We closed on one topic that every CEO is thinking about right now. How do you future proof AI investments. Joe shared the one principle leaders should follow so they are not buying hardware for headlines, but building an AI foundation that still makes financial sense five years out. If you own AI strategy, budget, or delivery, watch this. #data #ai #nvidiagtc #nvidia #hammerspace #gpu #storage #theravitshow

    12 分钟

  7. 12月3日

    Inside AI Magic Wand: Building Web Data Agents With One Click

    I have seen a lot of AI demos this year. Very few make hard, messy work feel simple. Next week I am going live with Sarah McKenna, CEO of Sequentum, for an AI Magic Wand Launch Celebration on The Ravit Show. What is happening - We are going to walk through how Sequentum is using AI to change web data work. Not slides. Actual product. Here is what we will get into during the show: - AI Magic Wand (beta) A new feature that turns high level intent into working web data flows. Think less trial and error, more “tell it what you want and refine.” - Command Templates How reusable templates help teams stop rebuilding the same patterns and start sharing what works across the company. - New tools coming in the next weeks Unblocker, Paginations and more. All focused on enhancing Sequentum’s data collection capabilities - Latest in standards The standards and good practices that matter if you want web data and AI that can stand up in an enterprise. Why I am excited about this one Most teams I meet are still stuck between scripts, manual fixes, and brittle tools when it comes to web data. Sequentum is trying to give them a cleaner path with AI on top. This session is about showing that work in public and talking through the real trade offs. If you care about web data, automation, and using AI for real work, this will be a good one to watch.

    28 分钟

  8. 12月2日

    Inside IBM’s Vision for India: AI, Hybrid Cloud, and Building a Future-Ready Workforce

    Think Mumbai was electric. India’s AI build-out just moved into a higher gear. I sat down with Sandip Patel, Managing Director, IBM India & South Asia at IBM’s Mumbai office. We unpack what Think Mumbai means for teams building with AI, hybrid cloud, and data at scale. What stood out and why it matters: IBM and airtel partnership • Aim: give regulated industries a safe and fast path to run AI at scale • How: combine Airtel’s cloud footprint and network with IBM’s hybrid cloud and watsonx stack • Why it helps: data stays controlled and compliant while workloads flex across on-prem, cloud, and edge • Impact areas: banking, insurance, public sector, large enterprises with strict governance First cricket activation on watsonx • What: AI-driven insights powering a live cricket experience • Why it matters: shows real-time analytics, content, and decisioning are ready for prime time • Enterprise takeaway: the same pattern applies to contact centers, fraud, supply chains, and field ops where seconds count AI value for Indian enterprises today • Start with governed data and clear ownership • Use hybrid patterns so models run where the work and data live • Blend predictive models with generative workflows inside watsonx for measurable lift • Track outcomes in productivity, risk reduction, customer experience, and time to value Skills as the force multiplier • Priority skills: data governance, MLOps, orchestration, security on hybrid cloud • Team model: small core teams operating a shared platform, federated use cases across business units • Result: faster move from pilots to production with repeatable guardrails My take India is moving from talk to build. The blueprint is open, hybrid, and governed. Partnerships that keep control local while staying flexible will unlock scale. Sports gave us a sharp demo of real-time AI. The next wins will be in operations, customer journeys, and risk. The interview is live now. Link to the complete interview in the comments! #data #ai #agentic #ibm #ThinkMumbai #governance #cloud #watsonx #IBMPartner #theravitshow

    22 分钟
查看全部 429 集

关于

The Ravit Show aims to interview interesting guests, panels, companies and help the community to gain valuable insights and trends in the Data Science and AI space! The show has CEOs, CTOs, Professors, Tech Authors, Data Scientists, Data Engineers, Data Analysts and many more from the industry and academia side. We do live shows on LinkedIn, YouTube, Facebook and other platforms. The motto of The Ravit Show is to the Data Science/AI community grow together!

信息

  • 创作者
    Ravit Jain
  • 活跃年份
    2022年 - 2025年
  • 单集
    429
  • 分级
    儿童不宜
  • 版权
    © Ravit Jain
  • 节目网站
    The Ravit Show