FEATURED AWS SPORTS PARTNERSHIPS
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THE FASTEST CARS DESERVE
THE FASTEST CLOUD

FORMULA 1 is a battle between the world’s best drivers, but it’s also a battle of some of the world’s most innovative engineers. No other sport has been as dynamic in its evolution and embrace of new technology. While some of the tech goes to helping drivers, who are hitting speeds as high as 230 MPH, taking pit stops in under 2 seconds, and flying around corners with a force of 5G, much of it goes to enhance the experiences of its growing base of over a half a billion fans. This is why AWS is proud to be both the official cloud service and machine learning provider for FORMULA 1.

Here’s how it works:

Transforming
the Series

Technology has always played a central role in the evolution of the sport, but serverless and machine learning are changing how F1 automates, collects, analyzes, and leverages data to make decisions.

Increasing Action
on the Track

F1 is taking the competition to the next level by altering some of the rules around car design. F1 simulates these changes using AWS High Performance Compute services to make sim cycles faster and more sophisticated.

Delivering Deeper
Insights

F1 uses Amazon SageMaker to build machine learning models that help fans better understand the split-second decisions made by a driver or pit crew that can dramatically affect the outcome.

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IN THE NEWS

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ACCELERATING THE FAN EXPERIENCE

Want to look under the hood and see how it’s done? Learn more about how AWS and F1 are using data to teach Amazon SageMaker complex machine learning algorithms that deliver new insights and increase action for fans, predicting outcomes with impressive accuracy as races unfold, and using data to design the next race car. 

Read more ›
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IT STARTS WITH THE DATA

During a FORMULA 1 Grand Prix every car contains 120 sensors which generate 1.1M telemetry data points per second transmitted from the cars to the pits. This real-time data is combined with over 69 years of historical race data stored on S3 to inform fans and teams about the unparalleled track-side decision making.

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SHIFT THE FAN EXPERIENCE INTO GEAR

By sourcing historical data and using it to teach Amazon SageMaker complex machine learning algorithms, F1 can predict race strategy outcomes with increasing accuracy for teams, cars, and drivers. These models are then able to predict future scenarios using refreshed realtime data as Grand Prix races unfold to deliver a rich and engaging fan experience.

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Battle Forecast

Throughout F1 history, some of the most exciting racing action on track has come from driver ‘battles’ —when a chasing driver gets close enough to attempt an overtake. The resulting fight for position results in an unpredictable and sometimes dangerous combination of offensive and defensive driving action between the drivers involved. The Battle Forecast graphic analyses track history and projected driver pace to provide an insight into developing driver battles during the race that are not always obvious to the audience.

Pit Strategy Battle

Undercutting and overcutting are strategies used by F1 teams during close racing scenarios to gain a lead over a rival, with the margin between success and failure measured in tenths of a second. Pit Strategy Battle provides fans and commentators with real-time insight on the position of the two rival drivers, the predicted gap after their respective pit stops, and the percentage chance of an overtake, helping fans to assess how successful each driver’s strategy will be in real time and its potential outcome.

Tyre Performance

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F1 teams are allowed a range of tyre compounds providing performance ranging from higher grip to longer lifespan. Tyre performance and degradation is a primary concern of the teams during a race and finding the perfect balance between lap time and tyre condition is a critical element of a race winning strategy. By analyzing timing and telemetry information and estimating lap time lost due to tyre power and tyre energies, Tyre Performance gives fans and commentators a better understanding of the current performance level.

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Getting Started With Professional Services

In 2018 F1 engaged with the AWS Professional Services team, who has since delivered two models to support race graphics: Pit Stop Advantage in March 2019, and Battle Forecast in July 2019. F1 continues to innovate with the Professional Services team and Amazon ML Solutions Lab Team to accelerate development of F1 Insights by prototyping use cases and develop new proofs of concept. The ProServ team then helps F1 get models in to production and integrated into the F1 infrastructure.

Ready to get Started?
Learn more about working with AWS Professional Services