Case Study: Jaguar TCS Racing achieves real-time AI-driven race strategy insights with OpenText IDOL

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Preview of the Jaguar TCS Racing Case Study

Cutting-edge racing team sets itself up for success with real-time analytics driven by powerful AI and machine learning through IDOL

Jaguar TCS Racing, a competitor in the ABB FIA Formula E World Championship, faced the challenge of making split-second strategic decisions from a flood of unstructured data—radio communications, broadcast footage and social media—under strict regulatory and data-handling constraints. With performance measured in milliseconds, the team needed a way to filter meaningful signals from background noise across practice, qualifying and race sessions.

Partnering with OpenText Professional Services, Jaguar TCS Racing deployed the AI-driven IDOL platform to transcribe and analyze text, audio, video and images in real time, handling accents, background noise and prioritizing actionable insights via a tailored app and UI. The result was evolved race strategy and immediate, data-driven inputs on energy and tire management across race weekends, giving the team timely intelligence to improve competitive performance.


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