-
Field Notes: Building an Autonomous Driving and ADAS Data Lake on AWS
A reference architecture for building an autonomous driving data lake on AWS. Covers the end-to-end workflow from ingesting raw sensor data, preparing it for machine learning, cataloging output from ADAS systems and vehicle sensors, automatically detecting scenarios, and managing the various workflows required for an organized data lake construct.
-
AWS re:Invent 2019: Creating a data-driven, cloud-native ecosystem at BMW Group (AUT306)
Walk through the journey of building BMW Group's cloud data hub — from outlining data platform archetypes to enabling personalized customer experiences, connected mobility, and analytical insights at scale. This session covers the architectural fundamentals of unlocking and harnessing various data sources, including vehicle sensory and relational data, and presents real use cases that shaped the overall strategy.