How does
Aston Martin
Use AI?
Enables faster, smarter decision-making during races
Project Overview
Enhancing race strategy decisions using AI-powered real-time insights.
Layman's Explanation
During a high-speed F1 race, there's no time for guesswork. Aston Martin’s AI system acts like a super-fast strategist, taking in live data to help the team make smart calls in the heat of the moment.
Details
Aston Martin Formula built an AI-driven decision support system that delivers real-time, data-backed insights during races. The system ingests telemetry data from the car, historical performance data, and contextual race conditions to help strategists make split-second decisions about pit stops, tire choices, and driving strategy. By applying real-time learning, the platform adapts to new inputs as the race unfolds, improving its predictive capabilities and giving the team a competitive edge.
Analogy
It’s like having a weather app that updates every second and also tells you what to wear, where to go, and when to run—except it's for racing.
Machine Learning Techniques Used
<li>Kafka</li><li>Apache Spark</li><li>Apache Beam</li><li>Apache Airflow</li><li>Argo</li><li>PyTorch</li><li>CLIP</li><li>SigLIP</li><li>BLIP-2</li><li>IDEFICS</li><li>Llama 3.1</li><li>FAISS</li><li>Milvus</li><li>Kubernetes</li><li>NVIDIA Triton</li><li>TorchServe</li>
More Use Cases in
Industrial & Manufacturing
Novelty Justification
While document extraction via NLP is not new, integrating it at scale within high-volume financial operations for real-time insight generation is a strong and innovative application, especially in the expense management space.
Project Estimates
