Customer Stories / Automotive
BMW Group on Using Amazon SageMaker Geospatial Capabilities for Sustainable Mobility
The BMW Group is a multinational manufacturer of luxury vehicles and motorcycles. Headquartered in Munich, Germany, its brands include BMW, Mini, Rolls-Royce, and BMW Motorrad.
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.
The BMW Group is the world’s leading manufacturer of premium automobiles and motorcycles, and provider of premium financial and mobility services. The BMW Group is using its data, analytics, and AI foundation to lift business value across the value chain and to provide sustainable mobility solutions for urban centers. Using Amazon SageMaker geospatial capabilities, BMW Group built a geospatial ML model in just 8 weeks to predict the affinity of its fleet customers to switch to electric vehicles with an 80% accuracy.
Sustainability is one of the main goals at the BMW Group because it allows us to live up to our social responsibility while improving the product experience of customers. Many of the problems in sustainable mobility require analyzing geospatial information with machine learning. We opted to test Amazon SageMaker geospatial capabilities for one of the use cases and were able to go from idea to solution in just 8 weeks.”
Marco Görgmaier
General Manager, Data Transformation & Artificial Intelligence, BMW Group
AWS Services Used
Geospatial ML with Amazon SageMaker
Amazon SageMaker supports geospatial machine learning (ML) capabilities, allowing data scientists and ML engineers to build, train, and deploy ML models using geospatial data.
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