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New LA Angels owner Stan Kroenke is quietly America's largest private landowner, boasting 2.7 million acres and besting Bill Gates and Jeff Bezos

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TechAI

Major League Baseball is using A.I. to scout upcoming players

By
Chris Morris
Chris Morris
Former Contributing Writer
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By
Chris Morris
Chris Morris
Former Contributing Writer
Down Arrow Button Icon
June 27, 2023, 10:29 AM ET
Photo of Ka’ai Tom of the San Francisco Giants
The newest MLB scout could be artificial intelligence.Norm Hall—Getty Images
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Draft days for Major League Baseball begin in about a week-and-a-half—and the league is using all the tools at its disposal to find the next superstars, including artificial intelligence.

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Players at the MLB combine last week in Arizona had their prospects monitored by a pair of iPhone cameras. The data collected from that could forecast their potential as MLB players and even predict their potential for injury.

Biomechanics company Uplift Labs is working with MLB for the high-tech scouting, using artificial intelligence to turn visual images into metrics that help rank and analyze players, the Wall Street Journal reports. And that could make them more (or less) desirable to teams as the draft gets underway.

Analysis via Uplift was optional for players, but a growing number of teams are using similar A.I. tools to scout players, and the Journal says the league is considering ways to make the data universal.

Agents are divided on the technology. Some worry it can be used to offer lower signing bonuses for players who are ranked high in the draft by predicting as-yet-unseen weaknesses in that particular player. Others say it could be beneficial for players that are more likely to go in later rounds of the draft, which begins July 9.

Data-based scouting isn’t new to the league. That’s been growing for the past decade or so. Even the use of biomechanics to assess strengths and weaknesses isn’t new. But the Uplift system makes it much easier for teams to track the data. And it’s also considerably cheaper than current methods.

Additionally, its use of A.I. gives it a predictive analysis edge.

“We also have this new kind of very early injury warning detection,” Sukemasa Kabayama, cofounder of Uplift, told the Journal. “Let’s say if you have too much of an arm flare, you know there may be potential overload on the elbow, which can unfortunately lead to Tommy John surgery.”

About the Author
By Chris MorrisFormer Contributing Writer

Chris Morris is a former contributing writer at Fortune, covering everything from general business news to the video game and theme park industries.

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