Industrial Analytics – a Balanced Approach

Friday, March 9, 2018 - 1:25pm - 2:25pm
Lind 305
Often, applying data science and analytics in the industrial IoT space is considered an extension of general big data tools and data science approaches. However, industrial machinery data have unique attributes, challenges and opportunities for insights and value creation. Simply trying to fit the industrial analytics peg into the big data square hole creates complications – from exploration to feasibility to production. In this talk, I will outline the technological forces that are driving software and data transformations in traditionally industrial companies; what differentiates industrial big data from general big data; provide examples of analytics development practices that have been effective, and the importance of a balanced approach.

Dr. Girija Parthasarathy is Analytics lead and Senior Customer Engagement Manager at Honeywell Aerospace. She is an experienced technologist and program manager and has managed global multi-disciplinary teams running data science and R&D programs in different Honeywell divisions. She is experienced in identifying new technology opportunities, seeding, maturing and delivering them through technology transfer into business units. Her technical expertise includes data analytics combining data driven and physics based modeling, in the domains of aircraft systems, wind turbines, building energy efficiency and smart grid; and computational modeling in the areas of combustion, emissions, and heat transfer. Girija holds several patents, and has authored several peer-reviewed journal and conference papers and has been an invited speaker at different venues. Girija earned a BS in Energy engineering from the Indian Institute of Technology and a PhD in Mechanical Engineering from the University of Minnesota.