Major League Baseball Selects AWS as its Official Provider for Machine Learning, Artificial Intelligence, and Deep Learning

Amazon Web Services, Inc. (AWS), an Amazon.com company, announced 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.

AWS's broad range of cloud-based machine learning services will enable MLB to eliminate the manual, time-intensive processes associated with record keeping and statistics, such as scorekeeping, capturing game notes, and classifying pitches. By using Amazon SageMaker, MLB is empowering its developers and data scientists to automate these tasks as they learn to quickly and easily build, train, and deploy machine learning models at scale. For example, MLB and Amazon ML Solutions Lab are using Amazon SageMaker to test how well they can accurately predict pitches by evaluating the pitcher, batter, catcher, and situation to predict the type and location of the next pitch. MLB also intends to leverage Amazon SageMaker and the natural language processing service Amazon Comprehend to build a language model that would create analysis for live games in the tone and style of iconic announcers to capture that distinct broadcast essence baseball fans know and revere.