The model catalog is an essential tool to correctly manage the entire life-cycle of a Machine Learning (ML) model.

After you have developed a first stable version of your model, before going to following validation and test phases, you should publish the model to the Model Catalog, in order to ensure that all the members of the team are working (testing, validating) exactly the same model.

In addition, you should add all the needed information, for all the different types of professional interested to work with that model.

In this short article, I want to highlight why a Model Catalog is essential, what you can achieve using correctly a Model Catalog.

Finally, I'll add details on how to use the Model Catalog on Oracle OCI Data Science.