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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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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 country’s premier football division, LaLiga, is leveraging artificial intelligence and machine learning (ML) to deliver new insights to players and coaches, and to transform how fans enjoy and understand the game.

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Accessing Kafka’s Real-Time Analytics Is Easier Than Ever

TIBCO - Connected Intelligence

Whether it’s an analyst doing reports or a data scientist applying machine learning methods to the data, they’re usually viewing it in aggregate from a traditional database, and typically don’t get to interact with it in its natural and most useful form—real-time.

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Is the power of people skills enough to keep gen AI in check?

CIO

IT is not an individual sport,” says Laura Baldwin, president at O’Reilly Media. You can think of large language models as just another SaaS service, to an extent.” Business analysts, data analysts, and subject matter experts will merge with technical experts into IT, he says.

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A perfect match: How tech promoted a small soccer team to the top

CIO

Partnering with a company of this type allows access to cutting-edge technologies and ideas used in the context of football and sports management.” So the SAP Sports One solution, a cloud-based sports management suite that makes it possible to visualize in real-time team performance, was developed in close relationship with the club in 2014.

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Are CEOs Really Necessary Anymore?

Strategy Driven

With increasingly vast bodies of knowledge about experiences, one can see how business Intelligence, with enough computing power, became Artificial Intelligence. And that’s why we’ve come so close to going from data that one human can process, to Big Data, which requires dozens of sensors to process. No driver necessary.

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Sapphire Ventures On Its Billion-Dollar Commitment To AI 

Crunchbase News

Editor’s note: This is part of a series in which we interview active investors in artificial intelligence. We’ve now had four or five eras of artificial intelligence, Das said. More recently, Sapphire invested in Weights & Biases , an MLOps company for managing foundation models.