Customer Stories / Automotive / Germany

2023
BMW Group Logo

AWS re:Invent 2023

BMW Group + Qualcomm + AWS = Faster Time to Market for Automated Driving Features

Developing an advanced driver assistance system (ADAS) requires large-scale data storage, processing, and simulation involving hundreds of petabytes of data. And, at any one time, data has to be accessible by thousands of users. BMW Group cloud solution architect Jörg Krebs explains how BMW worked with Qualcomm to build an automated driving platform on AWS. Using advanced artificial intelligence models and with well-architected modules, BMW development teams have the power to speed time to market for the next generation of vehicles.

Learn more about how BMW Group continues to innovate on AWS

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AWS brought together all of their team into one place in Munich and after aligning the technical architecture and design with us, they started to code like crazy. They were able to build the platform within 8 weeks. [This was] only possible because they had existing reference architectures, frameworks, and blueprints right at hand.”

Jörg Krebs
Cloud Solution Architect, BMW Group

More BMW Group Customer Stories

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  • Germany

    AWS Case Study: BMW

    The BMW Group is using AWS for its new connected-car application that collects sensor data from BMW 7 Series cars to give drivers dynamically updated map information. BMW Group is one of the leading manufacturers of premium cars and mobility services in the world, with brands such as Rolls Royce, BMW, and Mini. BMW built its new car-as-a-sensor (CARASSO) service in only six months using Amazon S3, Amazon SQS, Amazon DynamoDB, Amazon RDS, and AWS Elastic Beanstalk.
    2015
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