Analytics for the 4th Industrial Revolution

Monday, October 23, 2017 - 11:25 am

At Hitachi’s Center for Social Innovation, we have been using Machine learning and Artificial Intelligence to develop cutting edge solutions and push the envelope in the area of Industrial IoT. These problems range from increasing operational efficiencies, reducing costs to creating new AI enabled products and services. Drawing on this rich experience, we will present a systematic taxonomy of industrial analytics problems. We will walk through the different problem areas and give examples how AI/ML is being used as a tool to address these problems. We will conclude by pointing out new research directions, and exciting new developments in the area of industrial analytics.

Chetan Gupta
Chetan Gupta
Chief Data Scientist & Architect, Big Data Lab
Hitachi America R&D

Dr. Chetan Gupta is the Chief Data Scientist & Architect, and manages the Core Analytics Dept. at the Big Data Lab, in Hitachi America R&D. Chetan has more than 15 years of experience in analytics, big data, and related domains. Over his career he has worked both as a machine learning data scientist as well as in designing systems and architectures for big data applications.  

At Hitachi, he manages a large team of data scientists, architects and developers that is engaged in developing cutting edge solutions and opening new frontiers in the area of industrial analytics. His team builds fundamental horizontal technologies that are then used to build solutions for industry specific verticals. He has led efforts to build horizontal solutions in predictive maintenance, quality, operations monitoring and control, and for verticals such as mobility, mining, building energy management systems, etc.

Over the years Chetan has led multiple research and development teams, and mentored young researchers. He has close to 50 patents either granted or under review and more than 40 publications in the area of data mining/machine learning, data stream systems, complex event processing, workload management, etc. Chetan has a Ph.D. in Mathematics and M.S. in Mathematical Computer Science and Chemical Engineering from University of Illinois, Chicago.