Scoring triggers for situations that involve time

This may be more of an MLOps question, but here goes.

Technical leadership at my company is talking about moving exclusively to streaming processing / scoring for ML apps. The idea being that any time anything changes in the data, it would trigger a new prediction. CDC data capture, hooked up to data processing and a feature store, etc. It all sounds very elegant and fast.

Now imagine, for example, a churn prediction model. You have data from user profiles …

datascience scoring time