Formula 1 Selects AWS as Official Cloud and Machine Learning Provider
Amazon Web Services announced that Formula One Group is moving the vast majority of its infrastructure from on-premises data centers to AWS, and standardizing 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 services, including Amazon SageMaker, AWS Lambda and AWS analytics services, to uncover metrics that will change the way fans and teams enjoy, experience, and participate in racing. Formula 1 has also selected Elemental Media Services to power its video asset workflows, 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 65 years of historical race data, stored in both Amazon DynamoDB and Amazon Glacier. With this information, Formula 1 can extract critical performance statistics to make race predictions and give fans insight into the split-second decisions and strategies adopted by teams and drivers. 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.
“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,” said Pete Samara, Director of Innovation and Digital Technology at Formula 1. “By leveraging AmazonSageMaker and AWS’s machine learning services, we are now able to deliver these powerful insights and predictions to fans in real time.”
“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,” said Mike Clayville, Vice President, Worldwide Commercial Sales at AWS. “Formula 1’s years of valuable historical race data analyzed 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.”