MLOps in practice using Azure DevOps – Erik Petrovski, PensionDenmark


A tour of the MLOps setup at one of Denmark’s largest pension funds, PensionDenmark. I will go through how we solved a series of challenges concerning versioning, testing, monitoring, and deployment of code and ML models. Our solutions are implemented with Azure DevOps – but the principles apply to other DevOps platforms.

Key Takeaways

  • How to version code and models.
  • How to automatically train models with the correct code dependencies. 
  • How to score ML models before and during production.
  • How to test deployments before and after deployment.

Add comment