Data Driven Design at F1 Speed
summary
McLaren Applied Technologies claims data plus simulation shortens product cycles and shifts industries by combining telemetry, predictive analytics and machine learning with a human-in-loop simulator. Examples: a Specialized program produces the S‑Works Venge and gains in six months what took a decade; airport models predict two hours ahead to optimize departures; an offshore drilling system cuts risk and saves tens of millions per well; a Phoenix partner moves data centers from ~50% to 90–95% efficiency. Work includes bio‑telemetry and a KPMG alliance.
AI-written summary · about
chapters (10)
- 0:00McLaren Applied mission
- 1:47Performance management core
- 3:35Immersive simulation for cars
- 5:19Data-driven bicycle design
- 8:29Medical product design intelligence
- 8:50Heathrow process optimization
- 10:54Oil drilling real-time ops
- 12:39Data center predictive design
- 14:45Human performance future
- 15:07KPMG alliance & closing
related talks
29mBecoming a data-driven enterprise
20mInnovating at speed
06mData Driven Performance
40mFast Cars, Big Data - How Streaming Can Help Formula 1 #bbuzz
08mdata science in automotive
18mGiving F1 a tech edge
42mFast Cars, Big Data - How Streaming Can Help Formula 1
47mPaul Barratt | AI Track | Compass AI & Data Summit 2025