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How Big Data Is Helping Professional Sports

CTOvision

Big data has made its way across many different areas of industry, including the professional sports industry where the use of analytics is making a major change in how athletes and sports teams are preparing for games.

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AI & Big Data are changing the sports for good

Dataconomy

Artificial Intelligence in sports makes its presence felt in every corner of the world, from post-game analysis to in-game action to fan experience. If you watched the movie Moneyball, you must be in your element about how data-driven performance optimization in sports works and changes the games we dearly love.

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How Big Data Is Revolutionizing Sports

Dataconomy

The post How Big Data Is Revolutionizing Sports appeared first on Dataconomy. You could look at it as a failure and call it a day – or you could look at it as an opportunity to improve. Embedded in your jersey are sensors that have tracked.

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Can AI and big data help your chances at an online casino?

Dataconomy

The online casino market has witnessed profound changes in the last few years, thanks to the increased accessibility of innovative technologies like big data and artificial intelligence. This article looks at how artificial intelligence and big data can help players improve their chances in real money casinos online.

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PredictHQ forecasts live TV sports viewership to help local food outlets meet demand

Venture Beast

PredictHQ is meshing big data with machine learning to forecast live TV sports viewership, helping local food delivery businesses meet demand. Read More.

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Professional Sports Get Makeover From Big Data

Dataconomy

Sports teams, investors, and fans take their sports very seriously. Big data in the sports industry has been gaining momentum since at least 2007, and now tracking has become the norm. The post Professional Sports Get Makeover From Big Data appeared first on Dataconomy.

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Winning Championships with Big Data?

Eric D. Brown

When I talk to people about big data and data analytics I try to tailor the message to their experience level. For example, if I’m talking to data scientists I’m generally talking at a much different level than if I’m talking to people who have no clue what the term ‘big data’ means. Big Data decisions'

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