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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Diane Gutiw

Diane Gutiw holds a PhD in Medical Information Technology Management where she conducted doctoral research on medical AI/expert system solution modeling and adoption as well as a certification in Medical AI from Harvard Medical School. Diane is the Vice President leading the Global AI Research Centre which provides thought leadership on AI best practices for CGI. Diane has served as a visiting lecturer at Simon Fraser University as well as having been engaged in designing and co-delivering material on Data Science in Medicine for the UBC Medical School DASH program. As well as an academic career, Diane has over 30 years of experience in the design, development and delivery of highly integrated big data solutions including public health surveillance in the US and Canada to drive evidence based decision making. Diane designed the enterprise analytic and research solution for the University of California, San Francisco including the integrated design of research, medical school and clinical data. Most recently, Diane is being engaged by organizations to assist in better understanding their data through data science, AI and Machine Learning to expand the scope of evidence-based decision-makings. Diane has also been focused on building strategies for AI Ethics including designing models to develop guardrails for responsible use of AI. Diane was closely engaged on COVID pandemic modeling as well as the vaccine roll out analytics and reporting in Western Canada and continues to lead collaborative health research engagements across Canada. Diane has also led collaborative strategy design and implementation planning for advanced analytics and AI for organizations.
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