AWS re:Invent 2018: Ross Brawn from Formula 1 Shares how Machine Learning is Transforming Racing

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Formula 1 is using AWS machine-learning and data-analytics services to change the way racing fans interact with the sport, predict car performance, and bring better information to fans. The FIA Formula 1 World Championship is one of the premier forms of racing around the world, with 21 races across 5 continents and more than half a billion fans. By using Amazon SageMaker, Formula 1 can take the 1.1 million telemetry data points collected each second by the 120 sensors placed on each car and turn that data into meaningful insights about the car performance, helping improve the sport for drivers, teams, and fans. Ross Brawn, Managing Director of Motorsports at Formula 1, spoke at re:Invent 2018.

[@julianjohn283]

Great presentation & amazing to see what is possible with AWS! I suppose the strategy for Big Data/AI needs to come from the top for it to be a success?

[@valentinsuteu]

Engine sound!!!!

[@AgarwalRajan]

How ironic that he said how pitstop can change the course of the race and yet they gonna introduce pitstop regulation to slow it down.

[@synthesis4030]

I wish Ross was my Dad

[@MrKane101111]

Very cool! This is a great use case

[@ianloco100000]

Does any1 know the computer software and tech f1 teams use....like do they use tesla gpu’s etc and stuff like that I can’t find anything

[@D_Bills_Racing]

I’d assume it depends on the team and what sponsors they have. For example I’d assume Ferrari uses AMD microchips, Mercedes uses HPE and mclaren uses DELL

[@meet.patel18]

Sounds good!!

[@motornaut]

Overtake predictor is still the worst addition to the sport in the last 5 years

[@billbreze795]

I love you ross. But aws is one of the worst elements of f1 currently. Not only is f1 supporting a terrible company but its data for most of the 2020 races has been completely "pie in the sky"..