SEATTLE: Amazon Web Services announced Monday that Major League Baseball (MLB) has chosen AWS as its official provider for machine learning, artificial intelligence, and deep learning workloads.
In extending its long-standing relationship, MLB will use AWS machine learning services to continue development of Statcast — the tracking technology that runs on AWS to analyze player performance for every game—and develop new technologies to support MLB Clubs in driving innovative fan experiences and engagement across all 30 Major League ballparks.
In addition, MLB will work with the Amazon ML Solutions Lab to amplify game statistical data integrations within broadcasts, including MLB Network, and live digital distribution, such as MLB.com and the MLB At Bat app, using machine learning, creating more personalized viewer experiences tailored for each market and geographic region.
“Incorporating machine learning into our systems and practices is a great way to take understanding of the game to a whole new level for our fans and the 30 clubs,” said Jason Gaedtke, chief technology officer at MLB. “We chose AWS because of their strength, depth, and proven expertise in delivering machine learning services and are looking forward to working with the Amazon ML Solutions Lab on a number of exciting projects, including detecting and automating key events, as well as creating new opportunities to share never-before-seen metrics.”
“MLB has been collecting statistical data on its players and clubs for decades, and turned to AWS in 2015 to take its game-day stats to the next level so that fans can dig deeper into advanced metrics that ultimately enhance enjoyment of the game,” said Mike Clayville, vice president, Worldwide Commercial Sales at AWS. “AWS has the broadest and deepest portfolio of cloud services with the best security and proven operational expertise, which is why MLB chose to work with the world’s leading cloud to build, run, and enhance Statcast. We are excited to work with MLB as they continue their journey in the cloud, leveraging AWS machine learning services to capture previously immeasurable aspects of the game and find new ways to enhance the fan engagement model for baseball.”
