Formula 1 to implement machine learning-powered racing metrics through AWS

By Jonathan Dyble
The Formula 1 Group (F1 Group) has partnered up with Amazon Web Services (AWS) to implement new technologies that will provide real time critical race p...

The Formula 1 Group (F1 Group) has partnered up with Amazon Web Services (AWS) to implement new technologies that will provide real time critical race performance statistics, enhancing the sport’s experience for teams, fans and drivers.

F1 will utilise a number of services within the partnership including AWS SageMaker, a fully managed machine learning platform that allows developers to build and deploy machine learning models.

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“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 Amazon SageMaker and AWS’s machine learning services, we are now able to deliver these powerful insights and predictions to fans in real time.”

F1 will train the deep learning models using more than 65 years of historical race data, providing the necessary information to make critical statistical predictions, whilst simultaneously giving insight into split-second decisions and strategies.

“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,” said Mike Clayville, Vice President, Worldwide Commercial Sales at AWS.

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