In production machine learning systems, the model itself is only a small part of the implementation. The "scaffolding" required to run machine learning models, also called machine learning operations ...

As machine learning becomes more pervasive in the data center and the cloud there will be a need to share and aggregate information and knowledge but without exposing or moving the underlying data.