How F1 using AWS to give real time insights and prediction to the public during race

“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, Formula 1

what is Formula 1(F1) ?

Formula One Companies (Formula 1) is responsible for the promotion of the FIA Formula One World Championship, a series of auto racing events in 21 countries where professional drivers race single-seat cars on custom tracks or through city courses in pursuit of the World Championship title. Formula 1 racing has more than 500 million global fans and generated $1.8 billion in total revenue in 2017.

I think everyone has/must once watched F1 racing in their life otherwise go and watch one on youtube.

Benefits F1 is getting from AWS:

1. By using AWS machine learning services. How ?

Formula 1 is a data-driven sport: During each race, 120 sensors on each car generate 3 GB of data, and 1,500 data points are generated each second. Using Amazon SageMaker, Formula 1’s data scientists are training deep-learning models with 65 years of historical race data to extract critical race performance statistics, make race predictions, and give fans insight into the split-second decisions and strategies adopted By leveraging Amazon SageMaker and AWS’s machine-learning services, we are able to deliver these powerful insights and predictions to fans in real time by teams and drivers.

2. Fans see their favourite team or racer how he is doing things. How ?

By streaming real-time race data to AWS using Amazon Kinesis (Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information), Formula 1 can capture and process key performance data for each car during every twist and turn of the Formula 1 circuits. 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 through television broadcasts and digital platforms, Formula 1 allows fans access to the inner workings of their favorite teams and drivers. Formula 1 has also selected AWS Elemental Media Services to power its video asset workflows.

By leveraging Amazon SageMaker and AWS’s machine-learning services, F1 is able to deliver these powerful insights and predictions to fans in real time.

“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.”, said Pete Samara, director of innovation and digital technology at Formula 1

To accelerate its cloud transformation, Formula 1 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.

Formula 1 is now working with AWS to enhance its race strategies, data tracking systems, and digital broadcasts through a wide variety of AWS services — including Amazon SageMaker, AWS Lambda, AWS’s event-driven serverless computing service, and AWS analytics services — to deliver new race metrics that will change the way fans and teams experience racing.

This is how so much insights and interest you get while watching it.