WHY F1 CHOOSES AWS

We needed a technology provider that would help us innovate faster and push our organization into the future, and AWS was a clear choice to partner with. By tapping into the breadth and depth of AWS and its innovative cloud technologies we’ve been able to bring fans closer to the split-second decisions on the track, redesign our future F1 cars, help us better understand the wealth of F1 data, and run analytics and machine learning to harness the power of that data, and so much more. We’re excited about what we’ve accomplished and thrilled to see what more we can do together.

- Ross Brawn, Managing Director of Motor Sports, F1

We needed a technology provider that would help us innovate faster and push our organization into the future, and AWS was a clear choice to partner with. By tapping into the breadth and depth of AWS and its innovative cloud technologies we’ve been able to bring fans closer to the split-second decisions on the track, redesign our future F1 cars, help us better understand the wealth of F1 data, and run analytics and machine learning to harness the power of that data, and so much more. We’re excited about what we’ve accomplished and thrilled to see what more we can do together.

- Ross BrawnManaging Director of Motor Sports, F1

With drivers hitting speeds as high as 230 mph, taking pit stops in under two seconds, and flying around corners with a force of 5G, FORMULA 1 (F1) needs a technology provider as fast as their sport is. F1 is a battle between the world’s best drivers, but it’s also a battle of some of the world’s most innovative engineers. By using AWS, F1 is utilizing innovative technologies, such as machine learning (ML) models and high performance computing (HPC), to digitally transform the sport.

Here’s how it works:

Transforming the Sport

AWS’s broadest and deepest functionality and unmatched pace of innovation is changing how F1 collects, analyzes, and leverages data and content to make decisions. With 300 sensors on each F1 race car generating more than 1.1 million data points per second transmitted from the cars to the pit, F1 is a truly data-driven sport.

Increasing Action
on the Track

F1 and AWS are using data to improve the performance of both vehicle and driver. By using AWS high performance computing, F1 was able to run aerodynamic simulations to develop its next generation car 70% faster than ever before, creating a car that reduces downforce loss from 50% to 15%. This dramatic reduction offers the chasing driver a higher chance of overtaking and in doing so offers more wheel-to-wheel action for the fans. This next generation car will be introduced in the 2022 season. F1 is also exploring the use of machine learning in its simulation process, giving the organization new insights and into more than 550 million data points collected through more than 5,000 single and multicar simulations. 

Engaging and
Delighting Fans

The fan experience is changing during a race weekend. With AWS, F1 has been able to turn millions of data points transmitted from cars and trackside into an engaging fan experience through its F1 Insights. F1 uses 70 years of historical race data stored on Amazon S3, analyzed by complex models and shared with fans as rich data insights that reveal the nuances of split-second decision making, and highlight performances through these advanced stats.

ENGAGING THE FANS

F1 Insights powered by AWS transforms the fan experience before, during, and after each race. By using distinct data points to inform each insight, F1 enables fans to understand how drivers make split-second decisions and how teams devise and implement race strategies in real time that impact the outcome of a race. Here are a few examples on how it all comes together.

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By using timing data, F1 is able to create visual insights that allow fans to objectively analyze individual team and driver performance, strategy and tactics that will impact the overall race outcome.

Data analysis allows F1 to compare the performance of given cars, teams and drivers across any relevant parameter and rank them visually to educate fans. 

F1 looks closely at aerodynamics, tyre performance, power unit, vehicle dynamics, and vehicle optimisation to offer insights that help fans interpret overall car performance.

Fastest Driver

Using AWS machine learning technology this insight provides an objective, data-driven ranking of all F1 drivers from 1983 through present day, by removing the F1 car differential from the equation to determine an age-old question: Who is the fastest driver? Data scientists from F1 and the Amazon Machine Learning (ML) Solutions Lab have for the first time in history created a cross-era, objective, complex, data-driven ranking of driver speed.

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IT STARTS WITH THE DATA

Every F1 car contains 300 sensors which generate 1.1 million telemetry data points per second transmitted from the cars to the pits. This real-time data is combined with over 70 years of historical race data stored on Amazon S3 to extract rich insights that inform, educate, and enrich the fan experience and bring about more insight on the choice of race strategy that creates winning performances on the track.

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.

MACHINE LEARNING WITH F1 DATA

BLOGS

ACCELERATING THE FAN EXPERIENCE

Want to go under the hood and see how it’s done? Learn how AWS and F1 are using machine learning algorithms built with Amazon SageMaker that deliver new insights and increase action on the track, and how F1 is using AWS to design the next race car.

Read more >

PRODUCTS POWERING
F1 INSIGHTS

Getting Started with Professional Services

F1 has been innovating with the Professional Services team and Amazon ML Solutions Lab Team to accelerate development of F1 Insights by prototyping use cases and developing new proofs of concept. The ProServ team then helps F1 get models in to production and integrated into the F1 infrastructure.