BMW Group on AWS

Connectivity is key at BMW Group. For everything from predictive maintenance to delivering new mobility experiences to customers. Here, vice president of connected vehicle platforms Céline Laurent-Winter talks to director of automotive at Amazon Web Services (AWS) Chris-Markus Kratz about the multinational automotive manufacturer’s big data challenge. Having the right foundation in the cloud—flexible and scalable—means BMW can handle more than 100 terabytes of data, helping it connect 20 million vehicles globally. Join the in-car conversation.

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Knowing what drivers of tomorrow will want—that’s the challenge for BMW Group. Delivering this requires vision, innovation, and a partner with cloud expertise to help realize the organization’s automotive design ambitions. Here, Amazon Web Services (AWS) director of automotive Chris-Markus Kratz talks with BMW Group vice president of connected vehicle platforms Céline Laurent-Winter about combining leading cloud capabilities with superior engineering to create a winning collaboration. Join the in-car conversation.

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The crux of great car design is delivering what customers want. And that means understanding how drivers use their vehicles. As Stephan Durach—BMW Group’s senior vice president of Connected Company Development and Technical Ops—hits the Las Vegas strip with AWS, he talks about taking customers’ connections to new levels. One such example: the development of BMW Group’s next-generation Intelligent Personal Assistant that’s built on Amazon Alexa virtual assistant technology. Join the in-car conversation.

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BMW Group vice president of connected vehicle platforms Céline Laurent-Winter talks with Amazon Web Services (AWS) director of automotive Chris-Markus Kratz about how the global automotive leader handles data in the cloud. Information from sensors in every part of a vehicle plays its part in making the driving experience safer, more connected, and more personalized. Join the in-car conversation.

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From data-driven car development to software-defined vehicle vision. BMW Group’s collaboration with Amazon Web Services (AWS) is helping the premium car manufacturer create unforgettable motoring experiences through continuous innovation.
This is BMW Group’s transformative journey in the cloud.

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Continuously validating software and bringing new functionality to customers faster requires vast amounts of data. Harnessing serverless services including AWS Lambda and using Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Elastic Kubernetes Service (Amazon EKS) for high-performance processing of simulations, BMW Group can handle its growing data requirements. Here, chief data engineer Noam Shaish talks about how AWS cloud expertise coupled with BMW Group domain knowledge is making new approaches and driving experiences possible.

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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. The BMW Group, known for best-in-class luxury vehicles, uses a broad relationship across Amazon and AWS services to enhance every aspect of car design and functionality.

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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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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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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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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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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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With millions of vehicles sold in 140 markets, the BMW Group (BMW) manages vast amounts of vehicle data and uses BMW Messages to send updates and notifications to its customers. BMW does this across various channels, such as in-vehicle communication systems, email, SMS, and push notifications. To scale BMW Messages to meet peak demand, the company sought a high-performing solution on Amazon Web Services (AWS). By migrating to AWS infrastructure, BMW unified its global architecture and enhanced the customer experience by improving overall reliability. The company achieved 99.99 percent uptime, increased scalability, reduced costs, and freed up developers’ time so that they could focus on innovation.

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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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