What are the scenarios that could cause a model to be retrained?

Data Science, AI and ML
#1

Data is never in a state of inertia. If a firm expands, it may open the door to unexpected opportunities that necessitate a change in the data. Furthermore, analyzing the model to determine its status can assist the Analyst in determining whether or not the model needs to be retrained.

When business protocols and offers change, however, the general rule of thumb is to guarantee that the models are retrained.