Industry Spotlight – Industrial AI: Tales from the Field

 
 
Please join us for our upcoming Industry Spotlight session.
 

Presentation: Industrial AI: Tales from the Field

 
SPEAKER: Chetan Gupta, VP, Head, Industrial AI Lab, Hitachi America, Ltd. R&D
DATE: Thursday November 19, 2020, 6PM PT (Pacific Timezone)
 
HOW-TO-ATTEND: Attendance is limited to 3,000, so please register if you do not want to miss the chance to attend.
NOTE: We will send instructions on how to join BY EMAIL shortly before presentation.
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SCV CLP Industry Spotlights

 

ABSTRACT: Industrial AI is concerned with the application of Artificial Intelligence (AI), Machine Learning (ML) and related technologies towards addressing real-world use cases in industrial and societal domains and has the potential to transform the world we live in. Industrial AI uses cases can be broadly categorized into the horizontal areas of maintenance & repair, operations & supply chain, quality, safety, design, and end-to-end optimization. etc. and have applications in a variety of domains. In this talk, we present an introduction to Industrial AI, give some real world examples, highlight challenges and lessons learned and point out new research directions and developments.

This talk is part of our series of presentations by industry experts at the IEEE Santa Clara Valley Section Corporate Liaison Program (CLP). If you have ideas for future speakers, please email the SCV CLP Chair.
 

SPEAKER: Chetan Gupta is VP, Chief Data Scientist & Architect, and is the Head of the Industrial AI Lab at Hitachi America, Ltd. R&D. He has more than 15 years of experience in analytics, AI, 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 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 50 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.

Contact the Speaker:
Chetan Gupta on LinkedIn

 
 

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