AMIT DINGARE, Director of Data Science, Novelis



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 is quickly becoming an important decision making tool. Novelis, through models deployed within melting and rolling operations, has already seen a great value from these techniques. This talk will focus on one such model that added tremendous value to Novelis’s remelt operations.


Anyone interested in a practical case study on machine learning in the Manufacturing industry will find a lot of value from this presentation.

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