Alexander Booth, Texas Rangers | Databricks Data + AI Summit 2023
summary
Texas Rangers baseball operations describe turning high‑frequency weather (wind/humidity/temperature every five seconds) and markerless motion capture pose data into game‑ready insights by modeling stadium aerodynamics and player biomechanics, producing preloaded reports for caps, catchers’ armbands and dugout use. Engineering moves from on‑prem to cloud use Databricks for scaling — Delta Live Tables, Unity Catalog, Photon and autoloader — with governance across minor‑league sites, doubled analytics headcount, and ML workflows (MLflow) for reproducible model deployment.
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chapters (11)
- 0:00Introduction and welcome
- 1:03Baseball operations with data
- 2:52Real-time game data insights
- 4:16Transition to Databricks
- 6:02Cloud migration challenges
- 7:03MLB regulations and AI adoption
- 8:04Moneyball and data disruption
- 8:46Databricks products and features
- 9:48Open source in data strategy
- 11:11Transparency in ML models
- 12:14Closing remarks and thanks
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