F1 to debut AI-driven stats from Amazon Web Services

Wednesday, June 24, 2020

By: Sport Industry Group

Formula 1 and Amazon Web Services will debut new AI-driven insights when the revised 2020 season begins in Austria in early July.

Fans will be able to see new graphics and statistics generated by data gathered from some 300 sensors on each F1 car, which generate over a million data points per second to be relayed back to the pits.

A new ‘Car Performance Scores’ graphic, comparing different cars’ performance throughout each lap and in real time, based on low-speed cornering, high-speed cornering, straight line performance and car handling will be available on screen, while five new graphics will be rolled out throughout the rest of the season, offering never-before-seen insight into the on-track action.

Rob Smedley, Director of Data Systems, Formula 1, said: “Over the past two years, Formula 1 has embraced AWS’s services to perform intense and dynamic data analysis. The F1 Insights we’re delivering together are bringing fans closer to the track than ever before, and unlocking previously untold stories and insights from behind the pit wall.

“We’re excited to be expanding this successful relationship to bring even more insights to life, allowing fans to go deeper into the many ways that drivers and racing teams work together to affect success.”

As well as the overall performance scores, F1 will also provide additional graphics later in the season when more data has been gathered. These include statistics highlighting car and team development from one race to the next, as well as qualifying and race pace predictions, based on data from practice and qualifying laps. Those statistics will debut in the second half of the season.

More immediately, a new Ultimate Driver Speed Comparison, will debut at the 70th Anniversary Grand Prix at Silverstone from 7th - 9th August, allowing fans to see how modern drivers compare to other drivers in history, dating back to 1983, to help determine the fastest driver of all time.