BMW Group on AWS

At AWS re:Invent 2023, BMW Group’s head of offboard architecture Jens Kohl talks about how the company’s 450 DevOps teams use AWS and generative artificial intelligence (AI) to increase quality and reliability of services. And how Amazon Bedrock provides access to foundation models for innovation with built-in security.

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The BMW Group, like many global automobile manufacturers, must manage operations in many different languages. Headquartered in Germany, the company oversees 120,000 employees and assembles cars and motorcycles in 31 manufacturing plants across 15 countries. For the company to effectively communicate with people across the manufacturing lifecycle it needed accurate, high-quality machine translations. BMW Group uses Amazon Translate to reduce translation time by over 75 percent while advancing speed and quality.

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AWS On Air host, Jenna Pederson, joins Maik Leuthold, manager of predictive analytics at BMW Group; Nick Harmening, technical project lead advanced analytics for BMW Group; and Jonas Hiltrop, associate director, data science at Boston Consulting Group (BCG), to discuss how AWS and BCG implemented a machine learning application to predict the future customer take rates of BMW Group vehicle special equipment and options based on historic take rates.

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The Cloud Data Hub is BMW Group’s foundation for innovation. And centralized data handling, says Ruben Simon—product owner Cloud Data Hub—has helped BMW ensure flexible access to data for its thousands of employees, giving them the freedom to pursue new ideas securely. See what else Simon says about robust data governance, BMW Group, and AWS—at re:Invent 2023.

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Jens Kohl, head of offboard architecture at BMW Group, is proud of the reliability the company maintains in handling 12 billion requests a day from a fleet of 20 million vehicles. Here Kohl talks to the audience at re:Invent 2023 about using services such as AWS Config and AWS Security Hub to maintain security and compliance end to end.

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Data protection is a top priority.

In order to keep pace with the rapidly growing number of connected vehicles, the BMW Group set up a central access point for internal users of vehicle-generated data in 2017. In doing so, the BMW Group took steps to ensure that customer data is protected and securely processed in accordance with data privacy requirements by means of established processes—across all markets in which the company operates.

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Using Amazon Alexa, Patrick Prang—principal product owner, voice experience, BMW Group—and his team are delivering the next generation of in-vehicle voice. At re:Invent 2023, Prang talks about how the MINI Intelligent Personal Assistant is creating strong brand connections and giving MINI owners easy access to new capabilities.

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Working with Qualcomm and using AWS artificial intelligence tools, reference architectures, and frameworks, BMW Group built a platform to develop automated driving features. Here, Jörg Krebs, cloud solution architect, talks about the speed of innovation that’s possible by combining BMW’s development teams with the power of Qualcomm and AWS.

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All Things Automotive talks with BMW Group’s connected vehicle platforms architect Philipp-Peter Altmann about how the company built its latest operating system on AWS. In this developers’ deep dive, Altmann, along with principal solutions architect at AWS Christian Mueller, demonstrate the easily accessible browser-based system that’s transforming driver experiences—and the architecture that powers it.

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What does cloud-first mean to BMW Group? Find out from Dr. Christoph Grote, the company’s senior vice president for electronics and software. Grote talks to All Things Automotive about how the software-defined vehicle—and everything from infotainment to advanced driver-assistance systems (ADAS)—are made possible by the cloud.

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BMW Group works with AWS Professional Services and uses fully managed machine learning service Amazon SageMaker to develop its Cloud Data Hub—a platform that processes terabytes of data from millions of vehicles a day. At AWS re:Invent 2023, the BMW team talk about the architecture behind the hub, and how users across the company can improve decision-making through insight they gain from it.

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As a global semiconductor shortage was impacting the entire automotive industry, BMW Group turned to AWS Professional Services to help find a data-driven solution. Data scientist Dennis Winter and genAI/advanced analytics manager Maik Leuthold discuss how this supply chain challenge led to the development of an analytics platform to track production, market, and supplier data in just 3 months.

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BMW Group uses Amazon QuickSight alongside the company’s central data platform, the Cloud Data Hub, to gain business intelligence at scale. With secure access to data, teams across BMW can make decisions with insight, says Ruben Simon, Cloud Data Hub product owner.

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The All Things Automotive team talks with Josef Viehauser, platform lead at BMW Group, about how BMW Group accelerates data-driven innovation enterprise wide using AWS for its Cloud Data Hub. The group also discusses the Autonomous Vehicle Data Lake on AWS service and how customers can manage the challenge of ingesting, transforming, labeling, and cataloging massive amounts of data to develop automated driving systems using Amazon EMR, Amazon Simple Storage Service (Amazon S3), and Amazon SageMaker Ground Truth.

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Data fuels BMW Group’s digital transformation and drives its personalized customer experiences, connected mobility solutions, and analytical insights. BMW Group’s technical lead, Simon Kern, dives deep into how the company leverages AWS serverless capabilities from services such as AWS Glue, Amazon Athena, Amazon SageMaker, and more to deliver ETL (extract, transform, load) functions on big data in a modularized, accessible, and repeatable fashion. He also provides insight into the company’s AWS architecture and the next steps of the journey.

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To redefine automotive innovation, the BMW Group is equipping itself for the future with the necessary tools and expertise for collecting, analyzing, and managing data. The company has started its biggest qualification initiative called “Digital Boost”. In addition to that, in 2021, the company worked alongside AWS to launch an expansive learning program that upskilled more than 2,500 employees in data analytics, data science, and software development. A pivotal development was the establishment of the BMW Platform Academy with a focus on AWS Cloud skills, which empowered the company’s next generation of engineers.

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BMW Group built its next-generation Unified Configurator Platform using AWS. At the AWS Summit Berlin 2018, BMW Group presented a deep dive into the journey from an on-premises, monolithic application to a microservices-based platform in the cloud. When moving its platform, BMW Group built a CI/CD pipeline based on Git, Jenkins, and AWS CodePipeline, and used Amazon API Gateway, AWS Lambda, and AWS Elastic Beanstalk to develop the platform's microservices architecture. BMW Group also leveraged AWS Professional Services and the AWS Well-Architected Framework to provide a fast and reliable project outcome.

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The BMW Group created a centralized, on-premises data lake that collects and combines anonymized data from sensors in vehicles, operational systems, and data warehouses to derive near real-time and predictive insights. The company processes terabytes of data every day from millions of vehicles and uses AWS services such as Amazon Kinesis Data Firehose, AWS Lambda, and AWS Glue to transform and leverage that data. Because data wasn’t easily accessible—spread across myriad, siloed environments—the BMW Group’s innovation helped scale its data lake to support growing demands of stakeholders.

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