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Accenture implements the machine learning technology in testing the Ducati Corse motorcycles

Accenture announced a new partnership with Ducati Corse, part of Ducati Motor Holding within Mobile World Congress, where presented the integration of IoT and AI technologies in testing the motorcycles.

2017-03-01 20:08:45

Accenture's latest project involves two of the most important parts of vehicle development – simulations and data collection – and combines them both to make R&D an even faster, more intuitive process.
During testing at least, bikes have around 100 IoT sensors onboard, measuring everything from tyre temperature to oil pressure and much more, and after each run, engineers must sift through the numbers, and work out what to do next. Simply put, Accenture's Integrated Machine Learning software essentially works by learning real-world data, and then producing its own educated predictions. That way, the Ducati team can roughly predict what will work and what won't work on their bike, meaning they can always take the right direction in setup and development – without wasting precious track time.
"There are 18 MotoGP tracks, and to make sure our bikes perform to their limit, we need to test as many configurations and scenarios as possible," said Luigi Dall'Igna, Ducati Corse's general manager.

"With this solution, Ducati Corse can implement an intelligent testing program, to improve the results in competitions. By simulating and monitoring the performance of a motorcycle in a diverse range of track and weather-related conditions, we were able to apply the technology in the field of Machine Learning and IoT and reduce the duration, cost and effort involved in traditional testing. Finally, we hope that this innovative solution will help Ducati team to successfully complete each race, "says Marco Vernocchi, EALA Lead Accenture Analytics, part of Accenture Digital.

So far, some 4.000 racing sectors and 30 more different racing scenarios have been analyzed in the testing process.


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