How Volkswagen and AWS built end-end MLOps for Digital Production Platform

The article details how Volkswagen (VW) and AWS collaborated to build an end-to-end MLOps solution for their Digital Production Platform, addressing key challenges in machine learning operations across their manufacturing environments.

• Initial challenges included inconsistent development approaches, inefficiencies, and lack of standardized processes
• Developed a multi-account AWS architecture spanning six accounts: Data, Experimentation, Resources, Development, Integration, and Production
• Implemented standardized MLOps pipeline using services like Amazon SageMaker, AWS CodePipeline, and AWS Service Catalog
• Benefits include improved operational efficiency, enhanced security, and significantly reduced time-to-market for ML models
• Solution currently supports 8 use cases across 5 plants, serving 16 data scientists

The collaboration transformed VW's fragmented ML landscape into a more structured, secure, and scalable machine learning production environment.