Case Study: AI leading the way to Le Mans win

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Presented by

Jousef Murad & João Ginete

About this talk

During a Le Mans race, the Jota engineering team produces 7,500 data points per second – and, as you might know, the race lasts 24 hours. Attempting to analyze billions of data points in real-time to win the world’s most competitive car race is just the start of Jota’s challenges. With only seconds separating those who take the podium from other competing teams, the winning edge comes down to engineering ingenuity – and the visionary use of technology. This case study goes behind the scenes to explore how an unlikely team from Kent won Le Mans with a combination of AI, self-learning models, and engineering ingenuity. Inside, discover the lessons your business can learn from Jota’s AI success story.

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Monolith software is trusted by the world’s top engineering teams including Rolls Royce, Siemens, Honeywell, and BMW to develop better quality products in half the time. Backed by one of world’s largest software investors and recognized by Gartner as a Cool Vendor for AI in Automotive, Monolith AI empowers engineering domain experts in automotive, aerospace and industrial markets to reduce expensive, time-intensive testing, lower risks to product performance and quality, and cut product development time. Featured in Forbes magazine and named one of the UK’s top 100 startups, Monolith AI founder Dr. Richard Ahlfeld received his PhD in Aerospace Engineering from Imperial College and was named to MIT Technology Review’s Top 10 Innovators under 35. Monolith AI is headquartered in London with global enterprise clients worldwide.