Azure Machine Learning registries to operationalize models and pipelines at scale

Hello friends of the Machine Learning community,

Recently Microsoft announced the public preview of registries in Azure Machine Learning at Ignite.

What is Azure Machine Learning registries?

Registries are organization-wide repositories of Machine Learning assets such as Models, Environments and Components. Registries promote collaboration among data science teams by enabling discovery and reuse of ML models and related assets, improving productivity. Registries enable MLOps across dev, test and prod environments in which you need to promote assets across multiple AzureML workspaces.

Full source: Announcing Azure Machine Learning registries to operationalize models and pipelines at scale (microsoft.com)

Operationalize model training and inference across dev-test-prod environments

Learn more about Azure Machine Learning registries

Below there is demo about it.