Marc Neumann

In this session, BMW Group and AWS present BMW’s journey to unlock the power of data. BMW and AWS Professional Services collaborate with a focus on Cloud Data Hub, BMW Group’s data platform, a central starting point for implementing analytical and data-driven applications.

Amazon SageMaker Studio offers comprehensive tools for end-to-end ML development—from preparing data to training models, tracking experiments, deploying models, and managing pipelines—all in an integrated development environment.

Amazon SageMaker Canvas is a visual, point-and-click service that makes it easy for business analysts to build ML models and generate accurate predictions without writing code or requiring ML expertise. In this session, learn how SageMaker Canvas makes it easy to seamlessly access and combine data from a variety of sources, automatically clean data and apply a variety of data adjustments, and...

In this session, explore the AWS autonomous driving data lake reference architecture to learn how organizations manage the challenge of ingesting, transforming, labeling, and cataloging massive amounts of data to develop automated driving systems using Amazon EMR, Amazon S3, Amazon SageMaker Ground Truth, and more. See how BMW Group collects 1 billion+ km of anonymized perception data from its...