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While Matthew Stafford and Joe Burrow battle in this year's Super Bowl, artificial intelligence will be operating behind the scenes to measure just how well they really played. The NFL is unveiling a new measure of quarterbacks' performances within a given game called the Passer Score. Using data gleaned from computer chips embedded in players’ equipment, on-field pylons, and footballs, Amazon's machine learning models will assess a quarterback's execution on each play and at the end of the game, the player is graded on a scale of 50 to 99.
Why should you care about such a tool? Its implications could go well beyond the sports world.
Outside of football, similar machine learning applications could analyze workplace behavior to ensure employees are following protocols or working efficiently and safely. It's not hard to envision a scenario in which employees receive scores based on how well they adhere to safety practices, which could then be used in employee evaluations and promotions.
Read on for more detail on how the A.I. will work during Sunday’s big game–and how it could be adapted for the workplace. |
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