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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.

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AWS at NVIDIA GTC 2024: Accelerate innovation with generative AI on AWS

AWS Machine Learning - AI

AWS was delighted to present to and connect with over 18,000 in-person and 267,000 virtual attendees at NVIDIA GTC, a global artificial intelligence (AI) conference that took place March 2024 in San Jose, California, returning to a hybrid, in-person experience for the first time since 2019.

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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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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 198
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Amazon Personalize launches new recipes supporting larger item catalogs with lower latency

AWS Machine Learning - AI

Amazon Personalize makes it straightforward to personalize your website, app, emails, and more, using the same machine learning (ML) technology used by Amazon, without requiring ML expertise. Highly automated operations – Our new recipes are designed to reduce your overhead for training and tuning the model.

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CIOs rethink all-in cloud strategies

CIO

As businesses look to leverage artificial intelligence a lot more, they are and will relook at the workloads and place them on the right infrastructure, be it in the public cloud or the edge or bringing them back to their own private cloud or servers in-house,” Srinivasan says. “Any The cloud makes sense in some but not all cases.”

Strategy 360
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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!