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Home Machine Learning

Seattle Seahawks Choose AWS For Cloud, AI and Machine Learning Needs

November 29, 2019
in Machine Learning
Seattle Seahawks Choose AWS For Cloud, AI and Machine Learning Needs
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While football may not be the first thing that comes to mind when thinking about artificial intelligence (AI) and machine learning, the Seattle Seahawks are the latest team to invest heavily in it, according to an Amazon press release.

The Seahawks have chosen Amazon to be their cloud, AI and machine learning provider, moving the vast majority of their infrastructure to AWS.

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In addition, “the National Football League (NFL) team will use the breadth and depth of AWS’s services, including compute, storage, database, analytics, and ML to drive deep analysis of game footage to inform game strategy, improve operational efficiencies, and accelerate decision-making to advance team performance game-to-game. The Seahawks will combine the weekly NFL Next Gen Stats player tracking data, which tracks the position of the ball and every player 10 times per second, with its own player and club data to develop custom analytics and proprietary statistics.

“The Seattle Seahawks are relying on AWS’s unmatched portfolio of services to discover actionable outcomes from its vast amount of player, team, and business data, enabling them to continue to compete at a championship caliber level. The Seahawks are building a data lake on Amazon Simple Storage Service (Amazon S3) that will combine team stats and NFL data, such as Next Gen Stats player tracking, player health and wellness data, and scouting information to provide deeper visibility into player capabilities, as well as give the coaching staff a single, real-time view of player and team performance. By applying AWS analytics services to the data, the Seahawks will be able to quickly uncover insights to better evaluate talent and develop game plans that take advantage of the team’s strengths.”

The Seahawks are just another example of how AI and machine learning are revolutionizing countless industries, giving organizations the ability to process data and gain insights that otherwise wouldn’t be possible.

Credit: Google News

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