Four Quadrants of the Enterprise AI business case

We could initially model the problem as a machine learning or a deep learning problem. At this stage, we are concerned with the accuracy, choice and the efficiency of the model. Hence, the first quadrant is characterized by experimental analysis to prove value. We are also concerned with improving the existing KPIs. For example, if you are working with fraud detection or loan prediction – each of these applications has an existing KPI based on current techniques.