MLB AI News List | Blockchain.News
AI News List

List of AI News about MLB

Time Details
2026-03-31
22:00
Microsoft Copilot for Sports: 3 Practical Ways AI Streamlines MLB Game Day Planning [2026 Analysis]

According to Microsoft Copilot on X (via a repost of ShaynaCPA), fans are using Copilot to generate daily MLB viewing schedules, quickly surface broadcast availability across TV and radio, and resolve regional blackouts, enabling faster decisions on which games to watch or stream (as reported by the Copilot account tweet on Mar 31, 2026). According to the original post by Shayna Chapman, Copilot summarized that only two TV games were available and neither matched her favorites, prompting a radio lineup, illustrating AI’s utility for content discovery and schedule optimization. For sports media and OTT providers, this demonstrates a clear business opportunity to integrate AI assistants for real-time rights lookups, personalized watchlists, and cross-platform routing to maximize engagement and reduce churn (as indicated by usage described in the referenced posts).

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2026-03-29
17:33
MLB Deploys Hawk-Eye Computer Vision to Overrule Umpires: 2026 Analysis on Accuracy, AI Models, and Fan Approval

According to The Rundown AI on X, Major League Baseball is using Sony’s Hawk-Eye computer vision to adjudicate balls and strikes, allowing AI rulings to overrule human umpires for the first time in league history. As reported by The Rundown AI, Hawk-Eye tracks seam patterns, spin axis, and spin decay mid-flight, and its pipeline runs various AI and machine learning models from multi-camera capture to data output, according to Hawk-Eye’s Head of Computer Vision Engineering. According to The Rundown AI, one game saw 6 of 8 challenged calls overturned—three by more than two inches—illustrating measurable accuracy gains and operational strain as a team exhausted challenges by the fourth inning. For teams, this signals a near-term competitive edge in pitch design, scouting, and game strategy driven by sub-inch strike zone telemetry; for vendors, it highlights enterprise demand for real-time vision AI, model governance, low-latency inference, and data integrations with broadcast and betting ecosystems, as reported by The Rundown AI.

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