Improving NFL Player Health Using Machine Learning With AWS Batch

By Amazon Web Services

August 14, 2023

The National Football League (NFL) is the most popular sports league in America and home to 1,500+ professional athletes. The NFL is committed to better understanding the frequency and severity of player injuries to reduce their occurrence and make the game of football safer. This has led them to establish the NFL Player Health and Safety (PH&S) initiative for which more details are available on NFL’s website.

A core focus of the NFL PH&S initiative is to reduce helmet impacts among its athletes and to mitigate their effects when they do occur. To accomplish this, they first needed better insight to how often helmet collisions occur at the individual player level over the course of several games, spanning multiple seasons. These insights would empower stakeholders to make meaningful, strategic decisions that prioritize the sport’s safety.

In this post we’ll show you how the NFL, in partnership with AWS Professional Services, leveraged the scalable compute of AWS to run their ML workloads at scale to produce the first comprehensive dataset of helmet impacts across multiple NFL seasons.

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