After 143 years of statistic tracking through manual processes, it was time for MLB to eliminate this time-intensive practice associated with record keeping, statistics, scorekeeping, game notes, and classifying pitches. MLB turned to AWS due to the broad range of cloud-based machine learning services that enable efficiency and accuracy of managing data and analytics. MLB created Statcast AI Powered by AWS to empower 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 has plans to leverage Amazon SageMaker and the natural language processing service Amazon Comprehend to build a language model that creates scripts for live games in the tone and style of iconic announcers, such as Vin Scully, to capture the essence of how they would call the game. Read the full press release here.