Although the fields of machine learning and AI have begun to mature, there is often a lack of success in applying AI in organizations, an issue DataRobot calls the "AI production gap." One of the leading common issues we see in the machine learning life cycle (feature engineering, training, scoring, etc.) is the involvement of a variety of separate and…