“The NFL is unveiling a new measure of quarterbacks’ performances within a given game. Called the Passing Score, the metric uses Amazon Web Services’ A.I. to assess a quarterback’s execution on each play. At the end of the game, the player is graded on a scale of 50 to 99. Priya Ponnapalli, senior manager and principal scientist at the Amazon Machine Learning Solutions Lab, says the tool can have implications beyond the sports world.”
- “This week, the NFL and Amazon Web Services (AWS) released tons of statistics through Next Gen Stats (NGS) to show how each team made it to the championship game. One of their newest statistics — called ‘Passing Score’ — turned out to be one of the most accurate predictors of success this season.
- ‘Instead of simply evaluating a quarterback on his passing yards, touchdowns, and interceptions, the NGS Passing Score equation leverages the outputs of our models to better evaluate passing performance relative to a league-average, isolate the factors that the quarterback can control, represent the most indicative features of winning football games, and encompass passing performance in a single composite score (ranging from 50 to 99).’
- ‘Machine learning technology helps to deliver insights never before possible, and we believe the Next Gen Stats Passing Score is the next great example of that. We know it will help fans better understand and engage with the game,’ Helmrich said.”
- “The SageMaker platform encompasses numerous services that not only provide features for developing neural networks, but also help with the other steps involved in AI projects. Those other steps include creating training datasets, one of the most time-consuming tasks in the entire AI development process. AWS is promising to speed up the task with a new service called Amazon SageMaker Ground Truth Plus.
- SageMaker users are receiving a new feature called SageMaker Training Compiler that promises to reduce the time it takes to train AI models by up to 50%. The feature boosts performance by optimizing AI models’ code to run more efficiently on GPUs.”
- “RBL Bank has chosen Amazon Web Services (AWS), the cloud computing arm of Amazon.com, to strengthen its artificial intelligence (AI)-based banking solutions and drive digital transformation at the bank.
- ‘The bank’s AI Centre of Excellence worked with AWS to create a templatized framework to roll out use cases using Amazon SageMaker to quickly and easily build, train, and deploy machine learning (ML) models as part of the Bank’s larger AI roadmap,’ AWS said in a statement.”
“Defender ghosting is just one example of the ways in which AWS scientists are contributing to the development of Next Gen Stats,” AWS said. “Among other things, they’re looking at whether computer vision can help determine first downs.”