Tackling Data Engineering Challenges with Autonomous AI Agents
In this episode, Frank La Vigne sits down with Pradnesh Patil, co-founder and CEO of Altima AI, to explore how AI is revolutionizing the world of data engineering. Together, they dive into the challenges of modern data stacks, the explosion of tools and technologies, and how AI-powered agents are transforming the way data teams build…
Microsoft Fabric Unpacked: AI, Data Sovereignty, and a Bit of Clippy Nostalgia
In today’s show, BAILeY, your semi-sentient hostess with the mostest metadata, teams up with Frank La Vigne to welcome the ever-insightful Andrew Brust for a deep dive into the evolving Microsoft data ecosystem. From nostalgic tales of Windows history and scoring elusive Clippy swag at Ignite, to unraveling what makes Microsoft Fabric a game-changer for…
Why Simulating Reality Is the Key to Advancing Artificial Intelligence
In this episode, we’re joined once again by Christopher Nuland, technical marketing manager at Red Hat, whose globe-trotting schedule rivals the complexity of a Kubernetes deployment. Christopher sits down with hosts Bailey and Frank La Vigne to explore the frontier of artificial intelligence—from simulating reality and continuous learning models to debates around whether we really…
István Mészáros on going From CERN to Startup & The Cat That Launched a Thousand Queries
Welcome to another insightful episode of Data Driven! Today, we’re diving into the world of warehouse-native analytics with our special guest, István Mészáros, cofounder of Mitsu. Join us as we explore how Mitsu empowers startups and enterprises with a new approach to data analytics. From his beginnings as a CERN physicist to becoming an open-source…
Devvret Rishi on Powering Real-World AI with Declarative AI and Open Source
In this episode, Frank sits down and talks with Devvret Rishi on powering real-world AI projects with declarative ML and the importance of open source. Andy was not able to attend this recording, but will be back next week! Show Notes 04:36 Build, train, serve, deploy; critical data engineering link. 07:24 Model configuration for input…