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Formula 1 selects AWS as official cloud and Machine Learning provider
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Amazon Web Services ( AWS ) has announced that Formula One Group ( Formula 1 ) is moving the vast majority of its infrastructure from on-premises data centres to AWS and standardising on AWS ’ 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 enables everyday developers and scientists to easily build and deploy Machine Learning models , AWS Lambda , AWS ’ pioneering event-driven serverless computing service and AWS analytics services – to uncover never before seen metrics that will change the way fans and teams enjoy , experience and participate in racing . Formula 1 has also selected AWS Elemental Media Services to power its video asset workflows , enhancing the viewing experience for its 500 million plus fans worldwide . and speed . 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 . 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 favourite 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 Amazon SageMaker and AWS ’ 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 .”
“ 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 analysed against the real-time information that is collected in every race using AWS ’ 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 , it will engage its audience through truly differentiated experiences that will thrill generations to come .” •
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 race performance statistics to make race predictions and give fans insight into the split-second decisions and strategies adopted by teams and drivers . For example , Formula 1 data scientists can predict when the window of opportunity is opening and closing for teams to pit their cars for maximum advantage , as well as determine the best timing for changing tires . 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 unmatched accuracy
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