宝马集团如何使用 Amazon QuickSight 实现数据洞察大众化

Data drives BMW’s personalized customer experiences, connected mobility solutions, and analytical insights. This session walks through the journey of building BMW Group’s Cloud Data Hub. BMW Group’s technical lead, Simon Kern, dives deep into how the company is leveraging AWS serverless capabilities for delivering ETL functions on big data in a modularized, accessible, and repeatable fashion and provides insight into the next steps of the journey. The services used in BMW Group’s AWS architecture are discussed, including AWS Glue, Amazon Athena, Amazon SageMaker, and more.

BMW Group uses AWS to process 10 TB of data daily from 1.2 million vehicles, create a voice-activated personal in-vehicle assistant, and derive real-time insights from vehicle and customer telemetry data. The organization, based in Germany, is a leading manufacturer of premium automobiles and motorcycles. BMW Group runs its Cloud Data Hub on AWS, using Amazon SageMaker to train models for predictive analysis.

In this AWS re:Invent 2022 video, Marco Görgmaier, general manager “Data transformation & Artificial intelligence” at BMW Group, discusses how the company uses Amazon SageMaker geospatial capabilities to deliver sustainable mobility solutions around the globe.

learn how Bosch and BMW use vehicle data to accelerate innovation by processing data inside the vehicle and in the cloud.