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The F1 playbook for AI-assisted engineering
How F1 engineers use AI to close the loop between simulation, test, and track. Learn how to apply the same playbook to your own engineering work.
F1 engineers work under sustained pressure to find lap time. The job runs the full development arc, from concept simulations to physical test campaigns to data coming back from cars in the field. At every stage the core job is the same: close the loop between what you predicted and what actually happened, as fast as possible.
In practice that means:
- Trusting the data before any analysis begins, knowing which channels are reliable and what is missing
- Finding anomalies and knowing whether they are a sensor, a worn component, or a real system behaviour
- Is the car trending in the right direction? Tracing performance across runs from months ago to now, without spending hours opening files one by one
- Knowing what serial number, build, and software version was running when an anomaly appeared
Sign up to this webinar to see how F1 engineers find, diagnose, and act on problems faster with AI, and learn how you can apply the same techniques in your own work.
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