#181 - Andrew Ng - Why Data Engineering is Critical to Data-Centric AI

#180 - Ghalib Suleiman - Open Q&A + Data Stacks, Open Table Formats, and More

#179 - Tevje Olin - What Should Data Engineers Focus On?

#178 - Rob Harmon - Rob Harmon - Small Data, Efficiency, and Data Modeling

#177 - Joe Reis & Matt Housley - Return of the Show!

#154 - Sol Rashidi - Getting Business Value From Data, the CXO playbook, AWS ReInvent, and more

#176 - Nick Schrock and Wes McKinney - Composable Data Stacks, Open Table Formats, and More

#175 - Zhamak Dehghani + Summer Break 2024 Episode

#174 - Ghalib Suleiman - The Zero-Interest Rate Hangover in Data and AI

#173 - Bart Vandekerckhove - Data Security Deep Dive

#172 - Yali Sassoon - Using LLMs to Support the Analytics Workflow

#171 - David Yaffe & John Kutay - The State of Streaming and Change Data Capture

#170 - Solomon Kahn - Customer-Facing Data Products, Why A/B Testing is a Waste of Time, and More

#169 - Katharine Jarmul - Are We Solving the "Right" Problems with AI?

#168 -Cedric Chin & Sam Taylor - Communicating Sophisticated Stuff to Stakeholders

#167 - Martin Musiol - Generative AI: Navigating the Course to the AGI Future

#166 - Tony Baer - The Outlook for Generative AI in 2024 (and Beyond)

#165 - Ethan Aaron - Is Data a Job or a Skill?

#164 - Jean-Georges Perrin - Data Mesh, Data Contracts, Modern Data Engineering Standards, Bitol, and More

#163 - Joe Reis and Matt Housley - The Demise of the Modern Data Stack & Listener Q&A