Executive Director of the Cognitive Computing Consortium
Fiona McNeill is the Executive Director of the Cognitive Computing Consortium and an independent marketing consultant. Previously, she was the Global Product Marketing Manager at SAS where she oversaw the product marketing and messaging for specific SAS technologies. With a background in applying analytics to real-world business scenarios, she focuses on the automation of analytic insight in both business and application processing. During her 20 years at SAS, she worked with organizations across a variety of industries, understanding their business and helping them derive tangible benefit from their strategic use of technology. McNeill received multiple innovation awards at SAS, and when focused in the customer intelligence market, was identified as a Pioneer and one of the Most Influential People by CRMpower.me. Prior to SAS, she was a member of IBM Global Services.
McNeill has published both in academic journals and several business publications, conducted education seminars, and presented at both academic and industry conferences over the course of her career. She received her MA in Quantitative Behavioral Geography from McMaster University, examining inter-temporal time dependence in consumer purchasing behavior, and she graduated cum laude with a BSc in Bio-Physical Systems from the University of Toronto.
By This Author
- Nicole Ball, a Principal Technical Training Consultant at SAS, teaches courses on SAS Visual Analytics, SAS Data Quality, and the SAS programming language. Nicole is also a course developer for SAS Visual Analytics, which includes writing and updating courses and preparing customized training.
- Russell D. Wolfinger, Ph.D. is Director of Scientific Discovery and Genomics at SAS Institute, where he has worked since 1989
- Ruth M. Hummel, PhD, is a Senior Manager of Analytical Education at SAS. Dr. Hummel develops curricula, teaches, and consults to help researchers and practitioners apply statistical methods and analytics to solving problems, predominantly in the health and life sciences.