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Sport analytics leverage AI and ML to improve the game

CIO

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. The point is to use the data like a razor to cut through false convictions to find the truth.

Sport 293
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How AI is helping the NFL improve player safety

CIO

Like many other professional sports leagues, the NFL has been at the leading edge of data-driven transformation for years. One of those data sources is the Next Generation Stats System (NGS), which captures real-time location, speed, and acceleration data for every player.

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Computer vision transforms tennis coaching at Billie Jean King Cup

CIO

With centuries of tradition behind it, tennis as a sport has been highly resistant to change. It’s fair to say that tennis has lived up to its roots as a traditional sport,” says Mat Pemble, executive director of IT for the International Tennis Federation (ITF), the sport’s governing body.

Coaching 263
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MLSE looks to revolutionize sports experience with digital R&D lab

CIO

Digital solutions and data analytics are changing the world of sports entertainment at a rapid clip. From how players train, to how teams make strategic decisions during games, to how venues operate and fans engage, sports organizations are turning to software engineers and data scientists to help transform the sport experience.

Sport 240
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LaLiga transforms fan experience with AI

CIO

IT is playing a key role in how the world’s most popular sport is played and experienced in Spain. The transformation, which started in partnership with Microsoft in 2016, is also enabling LaLiga to expand its business by offering technology platforms and services to the sports and entertainment industry at large.

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With generative AI, IT must deliver knowledge…not just technology

CIO

As a result, knowledge workers can create content, low- and no-code solutions are more accessible, and team members from every layer of the organization have broader options for getting work done. By educating users, companies can accelerate adoption, which increases the potential to unlock innovation across teams and business units.

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Higher-ed CIOs embrace academia’s AI challenges

CIO

So students should learn about how to use the technology, and how to manage teams that use the tools — especially engineering teams. Building a team is becoming much more complicated because the inherent tendency among technical individuals to work alone is enhanced by AI,” says Lev Gonick, CIO of Arizona State University.