2021 - AVEVA PI World 2021 - Infrastructure, Water, Transportation
Decentralized Industrial Analytics using OSIsoft suite of products
In this talk, we present a decentralized industrial analytics platform based on the PI System. The design of our platform was shaped by extensive interviews with industry veterans and experts which yielded major pain points like cost, latency, manpower requirements and privacy that plague industrial analytics frameworks of today. With the help of state of the art research in decentralized computing and industrial analytics, we have developed a novel and unique solution that alleviates a majority of pain points associated with industrial analytics. Our framework leverages a historian and Edge Data Store services in order to drastically reduce the total cost of ownership leading to lower latencies, faster decision times and complete data privacy as well.
- Facilities & Data Centers
Georgia Institute of Technology
Paritosh Ramanan is a Postdoctoral Fellow with the Georgia Institute of Technology in Atlanta, Georgia. He got his PhD in Computational Science and Engineering from the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology in Atlanta, Georgia in 2020. Prior to his PhD he earned a Masters in Computer Science from Georgia State University in Atlanta, Georgia in 2015 and obtained his Bachelors in Information Systems from Birla Institute of Technology and Science (BITS) Pilani, Goa Campus in 2013. His research focuses on developing decentralized algorithms for improved computational performance of large scale optimization, analytics and machine learning problems through the use of parallel and distributed computing paradigms.