Upgrading Your Fleet into an AV Data Engine
Boston · Boston · United States
About the Tech TalkAs OEMs move from intense R&D to scaled production for advanced self-driving systems, the key to continuously improving system performance is creating a data engine. Data engines leverage the scale of production fleets to detect system failures in real-time and iteratively improve ML performance.
About Kate ParkKate Park is Scale's Director of Product Management focused on labeling and data engine platforms. Previously she was the first Product Manager for Tesla Autopilot's AI team where she built its data engine.
Kate received her bachelor's degree with distinction at Stanford in computer science in the artificial intelligence track (Phi Beta Kappa, Tau Beta Pi, Stanford F. E.
Terman Award). S.
About Ben LevinBen is Head of Enterprise Annotation at Scale AI, where he leads teams focused on 2D, 3D, and Mapping for leading L4/L5 autonomy programs, OEMs, and Tier 1s. Previously, he was General Manager for Navigation Data at Mapbox, where he led the creation of an ML-based mapping system that powered location for more than 500 million users.
He also was previously a technology strategy leader at the Boston Consulting Group.