Super Data Science: ML & AI Podcast with Jon Krohn 874: How AI is Transforming Baseball (with Lessons For All of Us)
84 snips
Mar 28, 2025 Artificial intelligence is changing the game of baseball, enhancing how teams analyze player performance and strategize. With advanced metrics like pitch trajectories and spin rates, teams gain a competitive edge. The conversation highlights lessons other industries can learn from baseball's data-driven approach. From scouting to fan engagement, discover how AI is redefining traditional methods and setting a new standard for performance analysis.
AI Snips
Chapters
Transcript
Episode notes
Moneyball
- The Oakland A's used data analytics (Moneyball) to find undervalued players.
- This approach, popularized by Bill James and Michael Lewis, proved data-driven decisions could outperform intuition.
The Rise of Analytics
- Data analytics is now standard practice in baseball, with teams treating it as an arms race.
- The introduction of Statcast in 2015 drastically increased the volume of data collected, creating a need for AI.
AI-Powered Scouting
- AI excels at analyzing large datasets, identifying patterns humans miss.
- Teams leveraging AI gain an edge in scouting by considering factors like exit velocity and spin rate.