On episode 7 of Data Renegades, CL Kao and Dori Wilson sit down with Bryan Bischof to explore his journey from pure mathematics to building real-world ML systems. They dig into recommender systems, surprising data bugs, and why truth-seeking should guide data teams. The conversation also covers modern data tools, visualization limits, and the realities of “self-serve” analytics.
Podzilla Summary coming soon
Sign up to get notified when the full AI-powered summary is ready.
Free forever for up to 3 podcasts. No credit card required.
Listen to This Episode
More from Data Renegades
Ep. #14, Databases for Humans and Agents with Hannes Mühleisen
Ep. #13, Building Trillion-Scale Data Pipelines with Josh Wills
Ep. #12, Agent Orchestration at Scale with Maxime Beauchemin
Ep. #11, Contrarian Bets and AI Skepticism with Michael Stonebraker
Get summaries like this every morning.
Free AI-powered recaps of Data Renegades and your other favorite podcasts, delivered to your inbox.
Free forever for up to 3 podcasts. No credit card required.