Autonomous VehiclesSourced
Case Study: Woven by Toyota drives 10x experiment velocity with Weights & Biases
Woven by Toyota Case StudySourced & dated by Case Study Desk
Key results
The challenge
Woven by Toyota builds machine learning for safe autonomous driving and needed to increase the speed and scale of its experimentation to keep pace with development, applying kaizen (continuous improvement) principles.
The solution
Woven by Toyota used Weights & Biases experiment tracking to log, share, and trace results across the team, enabling faster collaboration with traceability.
“Experiment tracking has given us 10x velocity and enabled us to share results with each other much faster, with tractability and traceability.”
ECEvan CushingMachine Learning Engineer, Woven by Toyota
The results, in context
Woven by Toyota reported that experiment tracking gave the team 10x velocity and enabled faster sharing of results with tractability and traceability.
Products used
Weights & Biases W&B Experiment Tracking