Accelerating industrialization of Machine Learning at BMW Group using the Machine Learning Operations (MLOps) solution

This article discusses the Machine Learning Operations (MLOps) solution developed by BMW Group in collaboration with AWS Professional Services to accelerate the industrialization of AI/ML use cases at BMW.

Specifically, the article covers:

• Overview of the MLOps solution architecture
• MLOps template with reusable infrastructure and ML workflow modules
• Training pipeline using AWS Step Functions and services like SageMaker
• Continuous Integration and Delivery (CI/CD) pipeline using AWS CodePipeline
• Batch and real-time inference pipelines for model deployment
• Ability for use cases to bring their own application stack
• Benefits of the MLOps solution, including faster time-to-market and integration with BMW's requirements