The Ravit Show

Ravit Jain

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. 1D AGO

    Kestra 1.0 Launch

    🚨 Breaking News: Kestra 1.0 is here On The Ravit Show, I sat down with Anna Geller and Will Russell from Kestra right as they unveiled Kestra 1.0, a release that could redefine orchestration for the enterprise. Learn more -- https://go.kestra.io/ravit Why this matters: Why Kestra 1.0 is a gamechanger and has perfect timing? It’s a Long-Term Support (LTS) release built to unify data, AI, infrastructure, and business workflows under one orchestration engine. Teams can now: - Cut automation costs by up to 40% - Deploy in days instead of months - Rely on full governance, audit trails, and approvals - Move beyond fragmented schedulers like Airflow with clean migration paths In my conversation with Anna and Will, we dug into: - The headline features of 1.0 - What declarative agentic orchestration looks like in practice - Where AI Agents shine — and where they don’t - How Kestra balances automation with trust and control - Why this release gives enterprises a stable backbone to build on Love the product announcements here. It’s a statement that orchestration can be reliable, scalable, and ready for the AI-driven enterprise era. 👉 Full Kestra 1.0 announcement here: https://go.kestra.io/ravit 👉 Watch my interview with Anna and Will where we unpack what this means for data, AI, and infra teams. The orchestration race just changed gears. #data #ai #orchestration #kestra #theravitshow

    17 min

  2. 3D AGO

    What do Enterprises expect from AI?

    Keynotes always set the tone for a conference, but the real insights come when you unpack what they mean for the future!!!! At CommunityLIVE, I spoke with Alan Pelz-Sharpe, Founder, Deep Analysis to get his perspective on the keynote takeaways. We explored what enterprises truly expect from AI today, not just innovation, but real outcomes that improve how they work. We also looked ahead at the future of agentic AI and how it could reshape enterprise operations. Alan’s perspective made it clear that while the technology is advancing quickly, the focus will remain on trust, usability, and value for customers. Conversations like these help bridge the big stage announcements with the practical realities enterprises face every day. #data #ai #CommunityLIVE25 #hyland #theravitshow

    5 min

  3. 4D AGO

    BI meets AI. Real use cases that work

    Speed to insight wins. If analytics cannot move decisions, it gets ignored. Fresh off Big Data London, I sat down with Clarence Rozario, Zoho on The Ravit Show to talk about how leaders are pushing BI to deliver real outcomes. The energy was high and the message was clear. Make analytics the shortest path from question to action. Why I rate Clarence as a leader: he blends field reality with product thinking. He listens to customers, trims what is not working, and ships the bits that help teams decide faster. No hype. Clear priorities. Tight feedback loops. What we discussed: * How enterprises are standardizing definitions so everyone answers the same question the same way * Cutting the cycle time from a metric to the next step with guided drill downs and clear ownership * Putting AI inside BI to explain changes in plain language and suggest actions people can trust * Short term moves that matter right now, like ready to use templates, guardrails, and monitors We kept it practical. Less demo polish. More ways to ship value this quarter. #data #ai #zoho #analytics #theravitshow

    15 min

  4. 4D AGO

    Building the Future of AI: Hammerspace's Approach to Data, GPUs, and Enterprise Growth

    I had the chance to speak with Sam Newnam, Senior Director of AI Solutions at Hammerspace on The Ravit Show, about the challenges and opportunities enterprises face as they scale AI infrastructure. We began with the name itself, Hammerspace. A concept borrowed from comic books, now representing a very real approach to how data can be accessed, unified, and delivered without limits. From there, we explored the pressures shaping enterprise AI today. The rise of AI agents and enterprise-scale deployments is creating new challenges around data gravity and data friction. Sam shared why this is no longer just about storage, but about what he calls “GPU gravity”, moving data efficiently to where the models and GPUs actually are. Hammerspace’s view is clear: enterprises do not need to forklift data into proprietary silos or rewrite workflows just to enable AI. Instead, an open, Linux-native, standards-based approach allows data to remain where it lives, whether on-prem or across clouds, while streaming on demand to the infrastructure that needs it. We closed with a look ahead. As AI workloads continue to grow, the ability to unify data seamlessly and avoid lock-in will become a critical competitive differentiator. Conversations like this highlight a big shift: AI success is not just about the model. It is about how well enterprises prepare their data infrastructure to keep pace with it. #data #ai #hammerspace #infra #storage #agents #gpu #theravitshow

    9 min

  5. 5D AGO

    Why Public Web Data Matters for AI

    AI without web data is AI without context. At AI4, I spoke with Ariel Shulman, Chief Product Officer at Bright Data on The Ravit Show, about why public web data is becoming the backbone of modern AI! Ariel explained that without access to real-time, high-quality web data, models quickly lose relevance. Product listings, reviews, job postings, news, and social content all provide the signals enterprises need to make AI systems smarter and more useful But collecting that data at scale is not simple. CAPTCHAs, geo-restrictions, and IP blocks make it challenging. Bright Data’s mission is to remove these barriers so organizations can focus on building applications instead of fighting access issues. We also explored why real-time matters more than ever. AI agents must interact with the live web to stay effective, and that shift opens up both opportunities and responsibilities Looking ahead, Ariel sees public web data as central to the future of AI, but success depends on collecting and using it ethically, transparently, and at scale. The takeaway: data is the bridge between AI and the real world, and web data is one of its most important foundations! #data #ai #ai4 #brightdata #theravitshow

    11 min

  6. SEP 26

    Why do so many AI projects fail?

    At AI4, I spoke with Kevin McGrath, Co-Founder and CEO of Meibel, on The Ravit Show about the hard truths behind the numbers: nearly 80% of AI projects never make it to long-term success. Kevin explained that it often comes back to data. Customers run into incomplete or poor-quality datasets, or they cannot unify data across silos. Without fixing those fundamentals, even the most ambitious AI initiatives will falter. We also explored why AI demos that wow investors often stumble when they reach real customers. Scaling is the breaking point; infrastructure, workflows, and production realities expose weaknesses that prototypes cannot hide. With GenAI, Kevin sees teams hitting roadblocks around context, reliability, and safety. Building proofs of concept is straightforward, but building systems that are trustworthy and scalable is the real challenge. The takeaway: AI success depends less on the demo and more on how well you prepare data and infrastructure for real-world scale. #data # ai #agents #meibel #theravitshow

    14 min

  7. SEP 24

    Real-Time Data and AI: How Tealium is Shaping the Future

    AI is only as powerful as the data you give it. At AI4 this week, I sat down with Zack Wenthe 🧠📢, Director of Product Marketing at Tealium, to unpack why a trusted, real-time data foundation is becoming the make-or-break factor for AI success. We started with the basics — trust. If your AI does not have reliable, clean data, everything it produces is at risk. Zack shared why this foundation is non-negotiable for enterprises. Then we explored “real-time.” AI has redefined it from milliseconds to near-instant context and action. Tealium’s approach to orchestrating customer data in real time is not just about speed — it is about making the right decision at the right moment. Zack also gave a preview of his talk, 5 Trends That Will Change Your Customer Data Strategy & Marketing Future. His point was clear: traditional strategies cannot keep up, and marketers who embrace AI-driven approaches will be the ones to thrive. We closed on action. From AIStream and MCP integration to partnerships with Databricks and Snowflake, Tealium provides practical ways to start leveraging AI today — with innovations like Sia pushing the boundaries even further. The takeaway: In the AI era, your data foundation is your competitive advantage. #data #ai #ai4 #tealium #theravitshow

    11 min

  8. SEP 23

    Choosing the Right Data Partner in an Unstable AI Market

    The AI ecosystem is moving fast and that includes the companies behind it. I spoke with Jeff Mills, President of iMerit Technology on The Ravit Show about what recent founder exits and shifting strategies from big players mean for the data annotation and labeling industry!!!! Jeff explained that in a market where trust and longevity matter more than ever, companies building high-stakes AI products cannot afford to rely on unstable or short-term partners. The risk is not just disruption, it is potential failure of entire AI initiatives if the data foundation is compromised. We also discussed what AI companies should look for in a data quality partner today. With innovation moving at breakneck speed, reliability, scalability, and domain expertise are just as critical as technology. It is not about one-off projects but about building trusted, long-term partnerships that evolve with the industry. Jeff highlighted what sets iMerit apart from the dozens of vendors in the market: a proven ability to deliver high-quality data pipelines at scale, a focus on trust, and a commitment to supporting customers as their needs shift from simple annotation toward powering complex AI systems. The takeaway: as AI advances, data quality remains the foundation. And choosing the right partner may determine not only the success of your current models, but your ability to innovate sustainably in the years ahead. What do you think? #data #ai #imerit #ai4 #theravitshow

    10 min
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About

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!

Information

  • Creator
    Ravit Jain
  • Years Active
    2022 - 2025
  • Episodes
    372
  • Rating
    Explicit
  • Copyright
    © Ravit Jain
  • Show Website
    The Ravit Show