The Data Standard

Al and ML in Manufacturing with Amit Dingare
Amit Dingare, Director of Data Science at Novelis sits down with TDS to discuss Al and ML in Manufacturing.

Episode Summary

Artificial intelligence and Machine Learning are benefiting a wide range of industries, and the manufacturing sector is the one that is listed at the top. Advances in technology through machine learning (ML) have provided an opportunity to accelerate innovation processes and improve decision-making. Nowadays, most businesses across the globe are adopting machine learning solutions in manufacturing to improvise their processes and getting better results.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 Machine Learning and AI 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.

Meet The Host

Catherine Tao

Data scientist at The Data Standard

Catherine Tao is a tech enthusiast looking for new methods for building connections with businesses around the world. Her extensive knowledge of data science allowed her to develop new solutions and implement them into existing ecosystems. She is currently working as a Data scientist and Exclusive Podcast Producer at The Data Standard.

Meet The Guest

Amit Dingare

Director of Data Science at Novelis

Amit is the Director of Data Science at Novelis leading a global team of Data Scientists. Before joining Novelis, Amit led the Data Science portfolio in various industries including Healthcare, Digital Advertising, Retail and Consulting (pre-merger valuations) in a career spanning 10+ years. Amit holds a Bachelor’s degree in Engineering and an MBA with a focus on Computational Finance.