As part of an alliance between F1 and Amazon Web Services (AWS), sports chiefs used the latest technology to leverage the wide range of car data they have access to.
To help fans of the F1 series improve the experience for fans at home. They have announced that they will provide a new graphics package using Amazon's Sagemaker machine learning tool.
During the AWS re: Invent Learning Conference in Las Vegas, F1's CEO, last week's Ross Brawn said the plan for a better graphics package was going to evolve.
"For next season, we are expanding 'F1 Insights' for our viewers by integrating the telemetry data like the position of the vehicle, the tire condition and even more data the weather, so we can use 'Sagemaker' to boost the performance of the Predict cars, pit stops and race strategy, "said Brawn.
"[There will be] some exciting new AI integrations into next year's F1
Speech, Brawn offered three exa Some examples of how the new graphics will be used in race broadcasts.
Ross Brawn, Motorsports Formula One executive, talks about F1 TV in 2019
Photo by: Amazon Web Services
The first provides better insight into the condition of each driver's tire so that fans can better understand whether a driver is overheating or in control of everything
"We know that someone is in trouble: his Rear tires are overheating, "said Brawn. "We can take a look at the history of the tires, how they worked and where they are in the race, and machine learning can help us analyze the situation properly."
"We can share this information with the fans Let them know if the guy is in trouble or if he can handle the situation. These are insights the teams have always had, but we'll show them to the fans and show them what's going on.
Ross Brawn Motorsport Director of Formula 1 talks about F1-TV in 2019
Photo by: Amazon Web Services  F1 also plans to offer the fans a graph showing a forecast for the likelihood of overtaking.  Brawn added, "Bike-to-bike racing is the essence, a critical aspect of the sport. With machine learning and the use of live data and historical data, we can predict what's going to happen.
"The graphics on the right show what we expect to happen at this event, the great thing is that the teams do not have all that data, and we F1 know the data from both cars and can make that comparison never done before. "
The last example Brawn showed was from a pitstop analysis to show the fans the strategic importance of the action.
"To stop at the right time and assemble the right tire can win or lose a race," he said. "We will record all the data and give the fans an idea of why they stopped and when they left off, did the team and driver make the right call?"
Brawn also revealed that F1 was planning the Machine Learning Tools
Video: Ross Brawn's Lecture Begins at 1h40m