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. 11小时前

    The Posit Pivot: Python, Partnerships, and the Future of AI in Analytics

    Had a great conversation with Eric Pité, SVP of Product & Strategy at Posit PBC (formerly RStudio) on The Ravit Show, at the Data + AI Summit by Databricks. We talked about: -- The evolution from RStudio to Posit It’s more than just a name change — it’s a signal of how seriously they’re embracing Python while staying true to their R roots and open-source mission. -- Open source meets enterprise Eric shared how Posit is navigating the balance between community contribution and commercial sustainability — and why that mission still matters in an AI-first world. -- Positron + Databricks Their strategic partnership is one to watch. Positron is making it easier to do high-quality data science (in R and Python) inside the Databricks ecosystem — with an emphasis on collaboration, reproducibility, and performance. -- AI’s place in modern data science We chatted about how Posit sees the role of AI in helping data teams be more productive — without losing rigor or transparency. -- The power of storytelling with code One of my favorite parts: the emphasis on communication. It’s not enough to build models — data scientists need to share insights clearly, and Posit is building for that. Big thanks to Eric for the thoughtful chat — and to the Posit team for continuing to push the boundaries of open, collaborative data science. #data #ai #DataAISummit #Databricks #cdata #agentic #connectors #theravitshow

    11 分钟
  2. 4天前

    Bridging the Data Gap: How CData Unlocks the Full Value of Databricks

    I caught up with Rahul Pahuja from CData Software to dive into how they’re helping enterprises unlock more value from their data inside Databricks — especially as companies push harder into AI and agentic workloads. Here’s what stood out from our conversation: 🔹 Enhancing the Lakehouse for AI While Databricks positions itself as the Lakehouse for AI, Rahul shared how CData extends its reach by connecting Databricks to hundreds of live data sources — no heavy pipelines, no data duplication. That’s a game-changer for teams needing immediate access to siloed enterprise data. 🔹 Activating the 70% of underutilized data With a large chunk of enterprise data still going unused for analytics, CData is stepping in to make that data accessible and actionable — all within the Databricks environment. It’s not just about integration, but about activation. 🔹 Accelerating agentic workloads We also discussed the rise of agent-based systems. Rahul explained how CData helps feed real-time, dynamic data into these AI agents, allowing them to act and respond faster — and with better context — inside Databricks. 🔹 Real-world traction From major enterprises slashing integration timelines to faster AI-driven outcomes, Rahul shared success stories that really bring their value to life. The numbers were compelling. If Databricks is your AI foundation, CData could be the unlock to power it with all your enterprise data — fast. Appreciate the insights, Rahul — and hats off to the CData team! #data #ai #DataAISummit #Databricks #cdata #agentic #connectors #theravitshow

    10 分钟

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!