Amazon Web Services, Inc, an Amazon.com company, has announced that Formula One Group is moving significant infrastructure from on-premises data centres to AWS, and standardising on AWS’s machine learning and data analytics services to accelerate its cloud transformation.
Formula 1 will work with AWS to enhance its race strategies, data tracking systems, and digital broadcasts through a wide variety of AWS services — including Amazon SageMaker, a fully managed machine learning service that reportedly enables everyday developers and scientists to build and deploy machine learning models, AWS Lambda, AWS’s event-driven serverless computing service, and AWS analytics services — to uncover metrics that will change the way fans and teams enjoy, experience, and participate in racing, the release stated.
Formula 1 has also selected AWS Elemental Media Services to power its video asset workflows, reportedly enhancing the viewing experience for its 500 million plus fans worldwide.
Using Amazon SageMaker, Formula 1’s data scientists are training deep learning models with more than 65 years of historical race data, stored in both Amazon DynamoDB and Amazon Glacier. With this information, Formula 1 can extract critical race performance statistics to make race predictions and give fans insight into the split-second decisions and strategies adopted by teams and drivers.
By streaming real-time race data to AWS using Amazon Kinesis, Formula 1 can capture and process key performance data for each car during every twist and turn of the Formula 1 circuits with accuracy and speed, the release stated. Then, by deploying advanced machine learning via Amazon SageMaker, Formula 1 can pinpoint how a driver is performing and whether or not drivers have pushed themselves over the limit. The release also stated that by sharing these insights with fans through television broadcasts and digital platforms, Formula 1 is improving the fan experience, allowing them to dive deep into the inner workings of their favorite teams and drivers.
Elaborating on the reasons to go with AWS, Pete Samara, Director of Innovation and Digital Technology at Formula 1, said: “For our needs, AWS outperforms all other cloud providers, in speed, scalability, reliability, global reach, partner community, and breadth and depth of cloud services available. By leveraging Amazon SageMaker and AWS’s machine learning services, we are now able to deliver these powerful insights and predictions to fans in real time. We are also excited that the Formula 1 Motorsports division will run High Performance Compute workloads in a scalable environment on AWS. This will significantly increase the number and quality of the simulations our aerodynamics team can run as we work to develop the new car design rules for Formula 1.”
Commenting on the partnership, Mike Clayville, Vice President, Worldwide Commercial Sales at AWS said: “Leveraging the cornucopia of services offered by the world’s leading cloud, Formula 1 will engage with its growing global fan base in unique ways. Formula 1’s years of valuable historical race data analysed against the real-time information that is collected in every race using AWS’s machine learning, streaming, and analytics services will uncover new racing metrics and insights that were unimaginable in the past. And, with AWS Elemental Media Services, they will engage their audience through truly differentiated experiences that will thrill generations to come.”