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Bill Wong
Principal Research Director - AI and Data Analytics Lead at Info-Tech Research Group
Bill Wong is an experienced AI Research Fellow and AI and Data Analytics Lead at Info-Tech Research Group, a position he has held since December 2022.13 With a career spanning over two decades, Bill has established himself as a prominent figure in the fields of artificial intelligence, data analytics, and information management.
Career Highlights
Bill's professional journey includes significant roles at major tech companies:
- AI Research Fellow at Info-Tech Research Group (December 2022 - Present)13
- Artificial Intelligence and Data Analytics Practice Leader at Dell Technologies (2017 - December 2022)3
- Enterprise Cloud Architect at Oracle (2013 - 2017)3
- Data Warehousing and Big Data Director at Microsoft (2012 - 2013)3
- Program Director at IBM (2001 - 2012)3
Expertise and Achievements
Bill has led and supported the implementation of over 100 information management-based solutions worldwide, with project values ranging from $1M to over $750M.3 His expertise spans various industries, including financial services, telecommunications, retail, airlines, and public sector agencies.
As a thought leader in AI and analytics, Bill:
- Frequently speaks at conferences and is often interviewed by the press2
- Has been consistently ranked in the top 10 influential thought leaders and speakers for AI and analytics by a prominent B2B social network2
- Was selected as the keynote speaker for Canada's first national AI technology roadshow2
Education and Additional Roles
Bill holds an MBA in Finance from the University of Calgary.13 He has also served as an instructor at the University of Toronto School of Continuing Studies, teaching courses on Strategic Information Technology Planning, Strategic Information Systems, and Introduction to Statistics.3
Current Focus
In his role at Info-Tech Research Group, Bill leads AI and data analytics research, guiding strategic AI and data analytics initiatives that have exceeded $1 billion in investments.2 He focuses on transforming organizations' capabilities to leverage data as an asset and has written several whitepapers, books, and contributes to scientific papers on accelerating drug discovery with deep learning algorithms.2



