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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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How 2 Australian sporting brands leverage human-centric digital innovation to drive new fan experiences in and out of the arena

CIO

Creating new revenue streams, identifying untapped audiences and better engaging fans onsite and all year-round are just some of the wins iconic Australian sporting events are chalking up thanks to human-centric digital innovation. Here, we explore two stellar examples in the Australian Grand Prix and Australian Open.

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Here’s How Data Analytics In Sports Is Changing The Game

Smart Data Collective

Any sports player or fan should be aware that data analysis has become a significant part of sports. Whether you are an English Premier League soccer team, a Moneyball baseball team, a roller skater, a golfer, or a National Hockey League franchise, the collection and use of data in sports are now commonplace.

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Data Analytics Technology is Positively Disrupting the World of Sports

Smart Data Collective

In recent years, organized sports have been steadily changed by big data. The news programs and sports updates shown on television have been made to be more entertaining, partly because of research conducted and the information analyzed. More sports companies are likely to invest in big data in the future. Sport is no different.

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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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A CIO primer on addressing perceived AI risks

CIO

Other than those of our fellow humans who hunt for sport it’s rare for species to harm members of other species just for the heck of it. As it happens, a whole lot of what’s called AI these days consists of machine learning on the part of neural networks, whose learning consists of inferring causation from correlation.

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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. It’s one of the more interesting challenges of the CIO role right now, and it’s something students, who may one day be leaders, need to learn about.” Corporates are spending big on gen AI at the moment.

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