Author Peter Saddow is joined for this article by co-author Daniel Yehdego Today, predictive models help many companies run their business-critical processes. These predictive models are probabilistic — they involve chance variation — and they depend on some underlying assumptions to make them work properly. Chief among these are 1.) that the data flowing into them is distributed in a certain way and 2.) that underlying business scenarios are unchanged from the time the models were created.
