Big Data Analytics – Vendor Perspective (invited session)


Description:
This invited session will focus on available commercial big data analytics tools/software for modeling and optimization of processes that can be applied in the chemical, petrochemical, pharmaceutical, food and semiconductor industries. Participants will highlight how these tools are relevant for extracting key information (from high-dimensional data sets) for continuous and batch type processes, where advanced analytical tools based on statistical approaches, data mining, optimization theory are utilized to identify the following tasks from data: (1) regression and forecasting; (2) process optimization (i.e. cycle time reduction, process understanding and troubleshooting); (3) fault and outlier detection; (4) clustering and classification analysis; and (5) visualization.

Sponsor:
Topical A: 3rd Big Data Analytics


Chair:
Ivan Castillo
Associate Analytical Manager
The Dow Chemical Company
Analytical Technology Center
2301 Brazosport Blvd., B-1225
Freeport, TX
77541
Email: castillo2@dow.com

Co-Chair:
Chaitanya Khare
The Dow Chemical Company
2301 N. Brazosport Blvd
Freeport, TX
77541
Phone Number: 9792383380
Email: CBKhare@dow.com


Papers:
Practical Challenges and Opportunities in Applying Multivariate Methods in an Online Context
Giles Laurier, Capstone Engineering Services; James Callahan, InControl Technologies
Making Cognitive Solutions Real Today -Stories and Examples
Paul Frangoulis, IBM; Greg Hirsch, IBM; Scott Kimbleton, IBM
Using Analytics for Process Safety
Jim Petrusich, Northwest Analytics; Josh Shupp, Northwest Analytics
Data-Driven Root Cause Analysis for Event Investigation Followed By Real-Time Monitoring and Prevention (extended version)
Mike Noskov, Aspen Technology; Ashok Rao, Aspen Technology; Michael Harmse, Aspen Technology, Inc.
Big Data Process Modelling with Parallel Graphics
Alan W. Mahoney, Process Plant Computing Limited; Robin W. Brooks, Process Plant Computing Limited
See more of this Group/Topical: Topical A: 3rd Big Data Analytics