Formula One has announced Amazon Web Services (AWS) as its official cloud and machine learning partner.
The deal will see the global motorsport series move the majority of its infrastructure from on-premises data centres to AWS, utilising the system’s machine learning and data analytics services to accelerate its cloud transformation.
The collaboration with the Amazon subsidiary will enable Formula One to enhance its race strategies, data tracking systems and broadcasts through machine learning. The system will produce ‘never-before-seen metrics’ which the championship says will ‘change the way’ fans and teams experience and participate in racing.
In addition, Formula One has selected AWS Elemental Media Services to power its video asset workflows in order to enhance the viewing experience for people watching live coverage of races.
Formula One’s data scientists are already using the Amazon Sagemaker machine learning service to train deep learning models with more than 65 years of historical race data, which will enable the series to extract performance statistics to make race predictions and give fans insight into decisions and strategies adopted by 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 One. 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.”
“Leveraging the cornucopia of services offered by the world’s leading cloud, Formula One will engage with its growing global fan base in unique ways,” added Mike Clayville, vice president of worldwide commercial sales at AWS. “Formula One’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.”