With Formula 1 defined by split-second margins, AWS is helping revolutionize the fan experience through machine learning-driven insights that reveal gripping details of driver and race strategy.
F1 Initiated Partnership with AWS to Enhance Fan Engagement
After assessing the changing media landscape, F1 started a long-term collaboration with AWS in 2018 to maximize racing’s entertainment value through cloud innovation.
AWS employed its “working backwards” approach to identify fans’ desire for greater on-track intimacy. With 20 cars racing, it’s impossible to fully grasp each driver’s maneuvers or team tactics without heavy post-race analysis.
AWS realized machine learning could unlock key data from the 300+ sensors on every vehicle to provide live strategic insights.
F1 Insights Use ML to Immerse Fans in Racing Data
F1 Insights, powered by AWS, represents a huge shift in fan engagement. By processing sensor data with ML models, it grants real-time views into driver decisions and team strategies.
Battle Forecast predicts when trailing cars can potentially overtake using pace analysis. Close to the Wall conveys nerve-wracking proximity to track edges. Predicted Pit Stop Strategy calculates when teams should strategically pit based on tire wear and other factors.
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Newest insights further explore energy management and hypothetical alternate scenarios. This level of live data was unheard of for spectators before AWS.
Ongoing Innovation as AWS Becomes Integral to F1’s “Race DNA”
Since partnering with AWS, F1 has expanded digitally by leveraging scalable, reliable cloud services. AWS compute power delivers data-driven broadcast graphics based on historical and real-time telemetry.
F1 has rapidly integrated over 90 distinct AWS tools. With AWS firmly embedded into its ecosystem, F1 can swiftly build and deploy fan-enhancing ideas.
As AWS unlocks richer analysis of race developments, F1 is embracing a data-centric future. Machine learning will continue revealing new dimensions that bring fans inside the cockpit.