The year is some time in the distant—but not too distant—future. The general manager of the London Werewolves is working hard to bring the first World Series title to a team outside of North America.
And utilizing artificial intelligence in a wide variety of ways is part of the GM’s plan to lead the expansion team to success.
Every morning, the GM wakes up to a summary of all of the notable happenings from the organization’s minor league games. A program gleans the most pertinent information—both good and bad—from what happened the night before. And that isn’t just a recitation of the box scores.
The summary is compiled by searching through all of the tracking and biomechanical information for every player in every moment of every game. It’s petabytes of information that is gathered every day, but the program has been trained to find the actionable, useful pieces of info in a sea of data.
That same data is fed into the team’s projection systems, providing updated player valuation and statistical projections that weigh hundreds of data inputs.
Whenever a player hits the waiver wire, or a trade is offered, the AI-driven projection system weighs in on how the player should be valued.
At the same time, the pitching coordinator is checking the upcoming offseason’s individualized throwing programs for the organization’s 85 pitching prospects. Years ago, putting together those throwing programs took many hours of work,
