Super Data Science: ML & AI Podcast with Jon Krohn
874: How AI is Transforming Baseball (with Lessons For All of Us)
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.
14:27
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Quick takeaways
- AI revolutionizes baseball by providing deeper player performance analytics, enabling teams to make more informed and strategic decisions.
- The integration of AI not only aids player development but also enhances fan engagement through real-time analytics during broadcasts.
Deep dives
The Evolution of Baseball Analytics
Artificial intelligence has transformed baseball by elevating the analysis of player performance and in-game strategy. Historical insights from the Moneyball era, where teams relied on data to identify undervalued players, serve as a foundation for today’s analytics landscape. Modern teams now employ data scientists to harness vast amounts of information from advanced systems like StatCast, which generates enormous volumes of data on player performance every game. As a result, teams that incorporate AI gain a significant competitive advantage over those that do not by making more informed, data-driven decisions.
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