Making AI Possible: Inside Baseball: How Machine Learning is Applied in an MLB Front Office - July 2025

episode

Making AI Possible not yet transcribed

▲ 0

Transcript

This episode hasn't been transcribed yet Upvotes decide what gets transcribed next — 0 so far. Sign in to upvote

More from Making AI Possible

AI Across the Americas: Where Does the Hemisphere Line up on AI? 54 min · 04 Aug 2026

Building with Agents and Owning the Output: Coding Agents, Product Ownership, and the Modern AI/ML Engineering Workflow 1h 2m · 14 Jun 2026

All episodes from Making AI Possible →

Report any issue

Source

Recorded08 Jul 2025

Publisherfeeds.simplecast.com ↗

Handlerec:14702126

Show notes

Welcome to the Making AI Possible Podcast—your monthly deep dive into the latest breakthroughs in artificial intelligence and how they’re shaping the world around us. Produced at Caltech in Pasadena, California, this series features in-depth conversations with the people driving AI innovation forward.This podcast series features the latest AI advancements with some of the brightest minds in the field, such as groundbreaking research from AI industry leaders, labs here on campus, and the Jet Propulsion Laboratory (JPL), which Caltech manages for NASA. Discover how cutting-edge research is being applied to transform and streamline healthcare, energy, manufacturing, and finance. Tune in to discover how the latest research becomes transformative technology.Richard Anderson is the Director of Quantitative Analysis for the Los Angeles Dodgers. He is a data scientist with a Ph.D. in Political Science from the University of Michigan. Before joining the Dodgers, he worked as a Senior Data Scientist at Warner Bros. Discovery and as the Director of Baseball Analytics for the Cincinnati Reds. He also has experience with the Los Angeles Angels and has expertise in R, Python, SQL, and stan. Richard is passionate about education, statistics, casual inference, experimentation and his dog, Ralphie. ♦As Caltech CTME's Affiliate Director of AI Programs, Nicholas Beaudoin intersects strategic program development with hands-on curriculum design, positioning AI/ML education programs at the forefront of technological transformation. Leading the AI programs at Caltech's Center for Technology & Management Education, Nicholas' focus is on delivering impactful learning experiences tailored to a diverse clientele, including private and public sectors, as well as government and non-profit organizations. ♦

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.