The Ravit Show

Ravit Jain
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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

    AI that is already delivering results

    300 to 600 hours reclaimed every single week. Ticket creation cut by 75%. These are not projections. This is what DocuSign is actually seeing from Atlassian's Rovo rollout right now. New episode of The Ravit Show is live with Shivi Singh Verma, MBA, PMP®, CSM®, PMI-ACP®, ITIL®, Senior Manager of Engineering at Docusign, recorded at Team '26 in Anaheim. If you have been waiting for an enterprise AI deployment story that goes past pilots and demos, this is the one to watch. Shivi leads GenAI and AI Agentic strategy at DocuSign. They have actually done the hard work most companies are still talking about. Phased rollout, real guardrails, measured ROI, and a clear plan for what comes next. Their philosophy on this is sharp: adopting AI at scale requires foundational trust, robust governance, and clear guardrails. Not optional, not later, on day one. What we got into: - The tipping point. What finally convinced DocuSign to move forward with Rovo. There is a specific moment Shivi described that I think every engineering leader weighing this decision needs to hear. - The phased rollout. What the pilot looked like, what surprised Shivi as they expanded beyond it, and the guardrails they put in place that they would recommend to other enterprises starting today. This is the playbook section. - How they actually measured ROI. Most companies struggle to prove AI value to leadership. DocuSign did not. I asked Shivi how they measured the 300 to 600 hours weekly and the 75% ticket reduction, and what convinced their leadership these gains were real and sustainable. The answer is more disciplined than I expected. - What comes next. DocuSign is planning to let non-technical teams build their own governed agents through Rovo Studio, and shift from reactive AI to proactive AI. We spent time on what that future looks like, and what they are doing now to prepare for it. - The line from Shivi that stayed with me: AI at enterprise scale is not a model problem. It is a trust problem. Get the governance right first and the productivity gains follow. Skip that step and the project will not survive its first incident. If you are an engineering leader, a CIO, or anyone trying to build the business case for enterprise AI inside your own company, watch this one. Shivi gives you the playbook. Big thank you to Shivi for the openness about what worked and what was harder than expected. And to the Atlassian team for the front-row access at Team '26. #data #ai #atlassian #team26 #theravitshow

    7 min

  2. 1d ago

    Atlassian’s AI Strategy: From Teamwork Graph to Agent Orchestration

    I had a blast chatting with Sherif Mansour, Head of AI at Atlassian, at Team '26 in Anaheim. If you want to understand what Atlassian actually shipped this year and why it matters, this is the conversation to watch. Sherif is the person inside Atlassian who has been thinking about AI longest and hardest. He runs Atlassian Intelligence, the generative AI platform that powers Rovo, the Teamwork Graph, and the agent experiences across Jira, Confluence, and Loom. When the entire company stage talks about AI for two hours, Sherif is one of the people who actually built what they are talking about. That made this conversation different from most AI interviews you will hear this year. What we covered: The keynote in his own words. Atlassian announced AI for developers, service teams, product teams, agents in Jira, and a brand new Product Collection. I asked Sherif what excites him most across all of it. His answer surprised me. Teamwork Graph, opened up. The 150 billion connection graph is now accessible to any agent through MCP, CLI, and Forge connectors. I asked Sherif what "opening it up" actually means in practice, and what changes for builders outside Atlassian who want to plug in. Agent orchestration in Jira. What it looks like when an agent is not just answering questions but coordinating work across an entire project. Sherif walked through how Atlassian thinks about keeping humans in the loop where it matters, and where to get out of the way. AI mythbusting. Sherif came in with strong opinions on the myths he is tired of hearing. We spent real time here. If you work in or around enterprise AI, this section alone is worth the watch. The line that stayed with me: the hardest problem in enterprise AI is not making models smarter. It is making them aware of how your company actually works. Everything Atlassian shipped at Team '26 traces back to that one bet. Big thank you to Sherif for the depth, the candor, and the patience with my follow-up questions. And to the Atlassian team for the front-row access at Team '26. #data #ai #atlassian #team26 #theravitshow

    14 min

  3. 3d ago

    CosmosDB Conf 2026 Key Takeaways: OpenAI Scale, Agent Memory & AI-Native Databases

    What happens when the database becomes an active participant in AI applications instead of just a place to store data? In this session of The Ravit Show, I sat down with Jay Gordon and Patty Chow to unpack the biggest announcements and takeaways from CosmosDB Conf!!!! One theme stood out throughout the conference: AI is not just changing applications. It's changing the database itself. We discussed: - How OpenAI scales from zero to millions of queries per second - Why Walmart relies on globally distributed architectures to keep checkout systems running during failures - How vector search, full-text search, and hybrid search are becoming native database capabilities - The rise of agent memory architectures and AI-native applications - Why developers need real-time visibility into query costs - How to think about CosmosDB vs Azure DocumentDB based on workload requirements - What the Azure CosmosDB Agent Kit means for developers building AI-powered systems One of my biggest takeaways was that retrieval is increasingly moving into the database layer itself. Instead of stitching together multiple services, developers can now work with a more unified approach to search, AI, and data. If you're building AI applications, working with data infrastructure, or trying to understand where databases are headed next, this conversation is worth watching. The full interview is now live. What was your biggest takeaway from CosmosDB Conf this year? #data #ai #azure #cosmosDB #microsoft #api #microservices #theravitshow

    19 min

  4. 6d 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

  5. Jun 10

    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

  6. Jun 9

    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

  7. Jun 8

    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

  8. 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
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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 - 2026
  • Episodes
    550
  • Rating
    Explicit
  • Copyright
    © Ravit Jain
  • Show Website
    The Ravit Show