AWS Architecture Blog

Formula 1: Using Amazon SageMaker to Deliver Real-Time Insights to Fans

The Formula one Group (F1) is responsible for the promotion of the FIA Formula One World Championship, a series of auto racing events in 21 countries where professional drivers race single-seat cars on custom tracks or through city courses in pursuit of the World Championship title.

Formula 1 works with AWS to enhance its race strategies, data tracking systems, and digital broadcasts through a wide variety of AWS services—including Amazon SageMaker, AWS Lambda, and AWS analytics services—to deliver new race metrics that change the way fans and teams experience racing.

In this special live segment of This is My Architecture, you’ll get a look at what’s under the hood of Formula 1’s F1 Insights. Hear about the machine learning algorithms the company trains on Amazon SageMaker and how inferences are made during races to deliver insights to fans.

For more content like this, subscribe to our YouTube channels This is My Architecture, This is My Code, and This is My Model, or visit the This is My Architecture AWS website, which has search functionality and the ability to filter by industry, language, and service.

Delve into the Forumla 1 case study to learn more about how AWS fuels analytics through machine learning.

Annik Stahl

Annik Stahl

Annik Stahl is a Senior Program Manager in AWS, specializing in blog and magazine content as well as customer ratings and satisfaction. Having been the face of Microsoft Office for 10 years as the Crabby Office Lady columnist, she loves getting to know her customers and wants to hear from you.