Building Baseball Analytics AI Use Cases

No trend has changed the way a sport has been played as dramatically and as enduringly as the analytics revolution in baseball. We are closing out the second decade since the “Moneyball Revolution” introduced baseball analytics into the MLB mainstream and lexicon. What started out as a move of desperation in the bowels of the Oakland Coliseum with Billy Beane and the Oakland A’s of the early 2000s has become a full-fledged paradigm shift in the way baseball is measured, evaluated, coached, and strategized. It has progressed beyond basic sabermetrics and moved into the advanced realms of AI and machine learning, reaching every corner of the sport — from MLB front-offices to little league backfields. MLB machine learning analysts are now thought of as the best ROI investment in an organization’s budget.

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