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. 3d ago

    Rubrik Forward 2026 Key Announcements

    BREAKING from Rubrik!!!! They just made the most aggressive bet I have seen on where enterprise security is heading. I interviewed Anneka Gupta, their Chief Product Officer, right as it all went public at Rubrik FORWARD on The Ravit Show. Two announcements came out of Las Vegas this week. First, Rubrik AI. The platform itself is now an agent. You define the outcome, recover clean, contain the blast radius, restore the business, and Rubrik AI reasons over your data, identities, and deployed agents to deliver it. Recovery sequences that took human teams weeks now finish in minutes. Every action stays auditable, attributable, and reversible. Second, Rubrik Agent Cloud for Anthropic's Claude Code and Claude Cowork. Claude is being adopted faster than any agentic technology Rubrik has seen. These agents write, push, and deploy code on their own, while enterprise security was built assuming a human stays in the loop. RAC closes that gap with real-time governance through SAGE and the industry's only Agent Rewind, which reverses an agent's actions and recovers the codebase even when a mistake outruns version control. Here is why these two launches are really one story. Rubrik's Zero Labs research found 86 percent of firms expect AI agents to outpace their existing security capabilities. Most vendors respond to that stat by selling more visibility. Rubrik's answer is different: if threats and agents move at machine speed, defense and recovery have to move at machine speed too. So they built an agent to protect you from agents. That framing is what I pushed Anneka on in our conversation. We got into what a runaway AI risk actually looks like inside a security environment, and how Agentic Guardrails stop one before it spreads. Which parts of a multi-week recovery workflow are genuinely automated and which still need a human call. How one agent reasons across Rubrik Security Cloud and Rubrik Agent Cloud at the same time, spanning data, identity, and third-party agents. The role of identity in agentic resilience. And why Databricks Unity Catalog was chosen as the first native lakehouse integration for RAC, with more connectors coming. My take after 750 plus interviews in this space: every enterprise I talk to is racing to deploy agents, and almost none of them can answer one question. What happens when an agent does something wrong? Observability tells you what happened. Rewind lets you undo it. That difference is going to define the next phase of enterprise AI, because the companies that win with agents will not be the ones that deployed fastest. They will be the ones that stayed in control. #data #ai #cybersecurity #theravitshow

    25 min

  2. 4d ago

    How AI Is Reshaping Teamwork: Insights from Atlassian’s Teamwork Lab

    Most teams think they have an AI strategy. But what they actually have… is fragmentation. At Atlassian Team ‘26, I sat down with Molly Sands, PhD, Head of Teamwork Lab on The Ravit Show to talk about what’s really happening inside teams today. Her work at the Teamwork Lab is different. They’re not just studying the future of work. They’re actively testing how AI changes the way teams operate. A few takeaways that stood out: – The biggest problem isn’t lack of AI tools. It’s the “AI fragmentation tax.” Too many tools, not enough alignment. – Top teams are not just adopting AI. They’re redesigning how they set goals, collaborate, and make decisions. – A lot of “work about work” still exists. Status updates, coordination, chasing context. This is where AI should be making the biggest impact. – The best approach to AI adoption is not top-down mandates. It’s embedding AI into everyday workflows so teams naturally use it. One thing I appreciated… Even at Atlassian, there isn’t a perfect answer yet. And that’s the point. This is still being figured out in real time. If you’re thinking about AI for your team, don’t start with tools. Start with how your team actually works. #data #ai #team26 #atlassian #theravitshow

    13 min

  3. 5d ago

    POSETTE 2026 by Microsoft

    Can Postgres become the foundation for the next generation of AI applications? As we get closer to POSETTE 2026 by Microsoft in partnership with AMD, I sat down with Charles Feddersen from Microsoft for a curtain raiser conversation about one of the most important events in the Postgres community. Over three days, POSETTE 2026 will bring together 50 speakers and 44 sessions, covering everything from the future of Postgres to its growing role in AI, vector search, and modern application development. In our conversation, we discussed: * Why Postgres continues to gain momentum across the industry * What many people still underestimate about Postgres and AI * The evolution beyond pgvector and RAG * The sessions and speakers Charler is most excited about * How POSETTE creates value for both beginners and Postgres experts If you work with data, AI, analytics, or application development, this is a conversation you won't want to miss. #Data #AI #Postgres #POSETTE2026 #AI #DataEngineering #Database #OpenSource #TheRavitShow

    13 min

  4. 6d ago

    Why Data Context Matters: Inside Atlassian’s Teamwork Graph and AI Agents

    Most AI tools are still just indexing documents. The Teamwork Graph has 150 billion connections. That difference is the whole game. I sat down with Jamil Valliani, the Head of AI Product at Atlassian, during Team '26 on The Ravit Show to understand why they are betting the next decade on this approach. Twenty years in Search before this role. Long before vector databases were trendy. Long before RAG was an acronym.A few things we got into:What the Teamwork Graph actually is. Why this architectural choice separates Atlassian's AI from everything else in the market.150 billion connections vs document indexing. Most enterprise AI tools search your text. This connects people, work, decisions, and outcomes across systems. The gap is bigger than I realized.Why connected data wins on accuracy. Atlassian's internal benchmark: 44% more accurate results using 48% fewer tokens. We broke down what is actually happening under the hood.A Search veteran's read on this moment. What makes this AI shift different from every other one. The most grounded take I heard at any conference this year.The line that stayed with me: in the next era of work, the company with the best context will win. Not the company with the best model. Models are getting commoditized. Context is not.If you work on retrieval, RAG, or graph-based AI inside an enterprise, this one is for you.#data #ai #atlassian #team26 #theravitshow

    10 min

  5. Jun 7

    AI Is Powerful… But Can You Trust It?

    At SAS Innovate, I had the chance to speak with Reggie Townsend about one of the most important topics in AI right now. Trust. What stood out from our conversation is how the market is evolving. Enterprises are moving quickly with AI, but the real challenge is no longer building models. It is ensuring visibility, transparency, and control as these systems start influencing real decisions. We also discussed SAS’ new AI Navigator and why it matters. It is not just another layer. It is a way for organizations to understand where they are in their AI journey and how to move forward in a structured, governed way. This becomes critical, especially in industries where accountability is not optional. My biggest takeaway. If trust does not scale, AI will not scale. Learn more from the interview below!!!! #data #ai #SASInnovate #SASVisionary #theravitshow

    11 min

  6. Jun 6

    Inside SAS Innovate: The Shift to Production-Ready AI

    From SAS Innovate, continuing conversations with leaders shaping how enterprise AI actually gets deployed. I spoke to Marinela Profi from SAS and this one cut straight to where the industry really is right now. There’s a lot of excitement around AI. But most enterprises are still not ready to scale it. We talked about why. The gap is no longer about models. It’s about systems, governance, and how AI fits into real enterprise workflows. One of the most interesting parts of the discussion was around MCP (Model Context Protocol) inside SAS Viya. This is about giving AI systems the right context, control, and structure so they can operate reliably in production environments. Because without that, AI stays stuck in experimentation. We also went deep into why SAS is building dedicated agent infrastructure instead of just layering AI on top of existing tools. That decision matters. It allows enterprises to move faster, while still maintaining control, auditability, and trust. That balance is what most organizations are struggling with today. My biggest takeaway. The industry is moving from generative AI experiments To governed, production-ready intelligence. And that shift requires a completely different approach to architecture. #data #ai #SASInnovate #SASVisionary #theravitshow

    15 min

  7. Jun 4

    Data: The Foundation Behind AI Success

    Last week at SAS Innovate, I spoke with Dan Soceanu about something every enterprise is talking about, but very few have solved. AI-ready data. The conversation was very practical. AI needs data, but not just more data. It needs data that is trusted, governed, and fit for purpose, especially as automation and agents start making decisions. We also went into digital sovereignty, which is becoming a key concern. Organizations are thinking deeply about where their data lives, how it is controlled, and how it aligns with regulations across regions. What stood out is that this is not a future problem. It is a current one. And looking ahead, the focus is shifting from collecting data to making it usable and reliable for AI systems. My biggest takeaway. AI success will depend more on data discipline than model sophistication. #data #ai #SASInnovate #SASVisionary #theravitshow

    8 min

  8. Jun 4

    Quantum AI Explained: Making Quantum More Accessible

    I’m here at SAS Innovate, continuing conversations on what’s next for enterprise AI. I had a blast chatting with Amy Stout, and this one was focused on something many enterprises are curious about but not fully ready for yet. Quantum AI. The discussion was very grounded. We talked about the real barriers enterprises face today: - Access to quantum systems - Lack of expertise - And uncertainty on where it actually fits in business problems What SAS is doing with Quantum Lab is interesting because it is trying to remove that friction. Making quantum more accessible, more practical, and connected to real use cases. The key takeaway for me was this. Quantum is not about replacing AI. It is about expanding what problems we can solve. And while it may still be early, the groundwork being laid now will define who is ready when it scales. That’s the kind of long-term thinking I’m seeing here at SAS Innovate. More content coming from SAS Innovate on The Ravit Show. #data #ai #SASInnovate #SASVisionary #theravitshow

    9 min
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Ratings & Reviews

5
out of 5
2 Ratings

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
    2021 - 2026
  • Episodes
    547
  • Rating
    Explicit
  • Copyright
    © Ravit Jain
  • Show Website
    The Ravit Show

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