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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. Computer vision, AI, and machine learning (ML) all now play a role. Souza’s advice: Cultivate curiosity.

Sport 296
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What is your data strategy for an AI future?

CIO

The costs of bad data Gartner has estimated that organizations lose an average of $12.9m Apart from these internal costs, there’s the greater problem of reputational damage among customers, regulators, and suppliers from organizations acting improperly based on bad or misleading data. a year from using poor quality data.

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Henkel embraces gen AI as enabler and strategic disruptor

CIO

We needed to double down on the massive upskilling of the internal organization and also acquire — we call it injecting — talent from the outside.” At the time, the team was focusing on traditional AI, using machine learning capabilities to build a recommendation engine that could help end users perform TPO on the fly. “In

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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 241
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Enhancing customer care through deep machine learning at Travelers

CIO

And we recognized as a company that we needed to start thinking about how we leverage advancements in technology and tremendous amounts of data across our ecosystem, and tie it with machine learning technology and other things advancing the field of analytics. This is kind of a team sport for us, so itâ??s

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How AI is helping the NFL improve player safety

CIO

From the initial kickoff at Allegiant Stadium in Las Vegas for Super Bowl LVIII on Sunday, an artificial intelligence platform will be tracking every move on the field to help keep players safer. Like many other professional sports leagues, the NFL has been at the leading edge of data-driven transformation for years.

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A CIO primer on addressing perceived AI risks

CIO

Ask your average schmo what the biggest risks of artificial intelligence are, and their answers will likely include: (1) AI will make us humans obsolete; (2) Skynet will become real, making us humans extinct; and maybe (3) deepfake authoring tools will be used by bad people to do bad things. And yet, we infer causation — the Curse!