Making a predictive model adaptive?
I've taken the pega decisioning consulting courses via pega academy, however I am still confused why these are talked about separately. In the academy course they talk about how adaptive models are used when you don't have data. What about when I want my model to be adaptive and I have training data I can feed it to start with, so it isn't predicting based on nothing.
I currently have a predictive model that predicts based on the user's text input what pega category it should be associated with. How do I take it a step further and enable the stakeholder to see this decision output and determine what should be fed back into the predictive model?
Looking to make this as automatic as possible to reduce manual retrainings of the data.
***Moderator Edit-Vidyaranjan: Moved from PSC to Academy***