The Interaction Between Inbound and Outbound Is What Makes a Difference

In many cases, we don't care to predict as for the sake of predicting. Most likely, we want to do something with our predictions in the real world. We argue that it is very important to understand that the decision models and forecasting models need to be built in a way that the interaction is actually solid and eno ing. There's a notion in the decision theory community, or maybe it's utility theory people that came up with it, tat's the value of information.