Customer Stories / Automotive / Germany

AWS re:Invent 2023
Modern Data Governance with BMW Group
For BMW Group—an organization with 150,000 employees who all rely on data to drive innovation—robust data governance is where amazing automotive experiences start. Ruben Simon, product owner Cloud Data Hub at BMW AG, joins a panel at AWS re:Invent 2023 to talk about what fit-for-use data means to the business. And how in its years-long journey with AWS, BMW Group has centralized data handling through its Cloud Data Hub to increase data quality and access. The balance, says Simon, is building data governance that works while giving teams enough freedom and flexibility to innovate.
Learn more about how BMW Group continues to innovate on AWS.

We want to have a good offering for our users, for our customers—and we had to do something different. This is when we started our journey with AWS some years ago […] What we wanted to have is innovative freedom for our data provider and data consumers.”
Ruben Simon
Product Owner Cloud Data Hub, BMW AG
More BMW Group Customer Stories
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Germany
Increasing Scalability and Reducing Costs Using Amazon Aurora Serverless with BMW
BMW migrated its on-premises databases to Amazon Aurora PostgreSQL and used Amazon Aurora Serverless v2, which increased scalability and reduced costs for its customer messaging solution. -
Other
BMW Group at AWS re:Invent 2023
In this AWS re:Invent 2023 keynote video, Stephan Durach, senior vice president Connected Company Development and Technical Operations, at BMW Group, discusses how the company uses Amazon Web Services (AWS) technology to transform automotive experiences. -
Germany
BMW Reinvents Automotive Design with Generative AI on AWS
This case study delves into how BMW showcased their use of generative AI, powered by AWS, at the AWS Reinvent 2023 conference. -
Germany
BMW Accelerates Innovation with Generative AI on AWS
This case study highlights how BMW, the renowned automotive manufacturer, leveraged generative AI powered by AWS to enhance their design and engineering processes.

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