AI Analysis and Car Performances with AWS

All the career path I was in the areas of technology I started as a young man, during my career these years I learned many things, and in my last visit to the Summit Paris AWS I had great conversations in my favorite areas Innovation, to know new AI projects, ML, Mobility and new technologies that help us achieve a better life.

FORMULA 1 is a battle between the world’s best drivers, but it’s also a battle of some of the world’s most innovative engineers. No other sport has been as dynamic in its evolution and embrace of new technology. While some of the techs goes to helping drivers, who are hitting speeds as high as 230 MPH, taking pit stops in under 2 seconds, and flying around corners with a force of 5G, much of it goes to enhance the experiences of its growing base of over a half a billion fans. This is why AWS is proud to be both the official cloud service and machine learning provider for FORMULA.

• Technology has always played a central role in the evolution of the sport, but serverless and machine learning are changing how F1 automates, collects, analyzes, and leverages data to make decisions.
• F1 is taking the competition to the next level by altering some of the rules around car design. F1 simulates these changes using AWS High Performance Compute services to make sim cycles faster and more sophisticated
• F1 uses Amazon SageMaker to build machine learning models that help fans better understand the split-second decisions made by a driver or pit crew that can dramatically affect the outcome.

F1 Data

During a FORMULA 1 Grand Prix every car contains 120 sensors which generate 1.1M telemetry data points per second transmitted from the cars to the pits. This real-time data is combined with over 69 years of historical race data stored on S3 to inform fans and teams about the unparalleled track-side decision making.