In metals manufacturing, the operations environment is full of data collected by thousands of sensors at a very small interval. Historically, decision making was based on traditional descriptive analytics techniques. However, with the advent of “Industry 4.0”, Machine Learning and AI are quickly becoming an important decision making tools. Novelis, through models deployed within melting and rolling operations, has already seen a great value from these techniques. This talk will focus on one a couple of case studies where Novelis has seen a tremendous value through the models deployed for operational decision making.