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. 2 DAYS AGO

    Data + AI: Reltio’s Big DataDriven Announcements (Agent Flow, Intelligent Data Graph)

    Most companies think they are building data platforms. What they are actually building is the foundation for AI agents to make decisions!!!! At DataDriven 2026, I sat down with Manish Sood, Founder and CEO of Reltio, and our conversation made one thing clear: the role of data platforms is changing fast. Reltio just crossed $185M in ARR with strong growth, but the bigger story is how they are redefining master data management for the AI era. Instead of focusing only on data storage, they are pushing toward Context Intelligence, where AI systems operate on real-time, curated, and governed data. We discussed their new AgentFlow approach, where prebuilt AI agents automate stewardship work like match resolution, profiling, and data exploration. This moves data teams from manual cleanup to intelligent automation. We also talked about speed and access. Their Lightspeed data delivery network aims to make enterprise data globally available in milliseconds so customer-facing and agentic AI systems can actually function in real time. What stood out from customers at the event is simple: - The conversation is no longer about adopting AI - It is about whether their data foundation can support it Sharing the full interview here where Manish breaks down the announcements, the strategy behind AgentFlow, and what enterprises should be preparing for next. #data #ai #datadriven #reltio #theravitshow

    13 min
  2. 20 FEB

    Unstructured Data to Production Trust: The bem Approach to Enterprise AI

    Most AI systems look impressive in controlled environments. But the real test begins when they meet production data. In my latest conversation, I sat down with Antonio Bustamante, Co-Founder and CEO of bem on The Ravit Show, to unpack one of the hardest problems in enterprise AI today: making unstructured data reliable enough to power real decisions. We talked about why extraction alone is not the problem anymore. The harder challenge is what comes after. Validation. Business rules. Schema enforcement. Exception handling. And making sure the system does not quietly fail when confidence drops. Antonio shared how bem approaches this differently by treating unstructured data pipelines more like critical infrastructure than experimental AI workflows. Instead of relying on prompts and probabilistic outputs, their focus is on deterministic systems that enforce constraints, match against existing data, and flag uncertainty rather than guessing. We also explored why unstructured pipelines tend to fail silently, how teams should rethink data quality in a probabilistic world, and where the real intellectual property lies when building AI-powered products today. What I found most interesting is how this shifts the conversation from model capability to operational trust. Enterprises are not just asking whether AI works. They are asking whether they can depend on it when money, compliance, or customers are involved. If you are building AI products, data platforms, or automation workflows, this discussion goes deeper than the usual AI hype cycle. Watch the full interview below and share your biggest takeaway. #data #ai #bem #theravitshow

    47 min
  3. 19 FEB

    Newsletter Growth, Automations, and Monetization Explained by beehiiv CEO

    They built one of the fastest growing newsletter platforms for creators. I just published my conversation with Tyler Denk, Co-Founder & CEO of beehiiv on The Ravit Show and this one is fully practical. Instead of talking about newsletters in theory, we went inside his own newsletter, Big Desk Energy, and broke down how he actually runs it. On screen. Step by step. No fluff. We covered: * How Big Desk Energy crossed 118,000 subscribers * What is automated vs what still needs direct input * Website builder from landing page to archive * What happens the second someone signs up * How signup data powers smarter automations * Welcome journeys and re-engagement campaigns explained simply * Mistakes new creators make with automations * The post editor and what actually improves open rates * Growth tools like Boosts, Marketplace, referrals, and recommendations * Monetization through digital products, paid subscriptions, and ads * Why beehiiv charges 0% platform fees on paid subscriptions Personally, this conversation meant a lot to me. I use beehiiv myself to run our newsletter with 137,000 subscribers. It powers everything behind the scenes for us. Publishing, segmentation, automations, monetization. This episode felt like opening the backend of a real newsletter business and understanding how to think about it as a system, not just emails. If you are serious about building a newsletter in 2026, this is not inspiration content. It is execution content. We also have a special offer for The Ravit Show community: 30% off for your first three months Code: RAVIT30 This link auto-applies the discount: https://beehiiv.link/7twzg8 I built 137K subscribers on beehiiv. Now you can see exactly how the CEO himself runs it. #data #ai #newsletter #beehiiv #creators #community #automations #theravitshow

    46 min

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!