Ai Outcome: Predictive Operation to stimulate and support the value of real estate assets and infrastructure
Growing pressure on infrastructure managers
An industry trend for Facility Management service providers (SP) in Public-Private Partnerships (PPP) as well as owner-operated facilities is the challenge to meet contractually agreed or expected service levels and the pressure to cut costs. This reflect what is happening in the rest of the infrastructure industry. The demands are more and more complex, but there are few adapted tools to meet the challenges.
Artificial intelligence (Ai) changes the foundations of this industry
How to improve efficiency? Ai Outcome was created to make data science available and suggest, in a simple way to understand, the best actions to improve operational efficiency, one decision at a time.
The path that led to Ai Outcome (AiO)
Following their respective careers in infrastructure management for François Dépelteau and information technology for François Labrie, it became clear that things needed to change in this industry because infrastructure owners and managers often absorbed unnecessary costs and risks since they do not have access to the necessary data analytics despite the fact necessary data is present in their enterprise.
AiO offers innovative ways to better manage your operation: Predictive Operation
AiO’s Predictive Operation integrates data, Ai and technology in a way that isolates the overall complexity and allow you to make better decisions, avoid breakdowns and incidents. You will reduce operating and repair costs, plus improve customer and user experience.
After more than 25 years experience in sales and major technology solution implementations creating tangible value to customers, François Labrie remains passionate by the new opportunities AI offers businesses. François Labrie teaches AI and Big Data at the University of Montreal (HEC – Executive Program). He also helps social enterprises take advantage of AI.
After more than 30 years of success as CEO of major facility management companies active in North America, François Dépelteau wanted to make a transforming difference in his industry with the integration of AI. His varied experience in most types of infrastructures ranges from hospitals to airports, including offices and industrial plants.
Marie Lynne Desrochers
After 25 years as a senior executive in the financial industry leading marketing, product and sales teams, Marie Lynne sees new ways to help infrastructure owners and managers create value and tangible growth. AI offers exciting opportunities to transform an industry. Marie Lynne is a corporate director and also consults in the areas of marketing, financial services and applied innovation using AI.
Michel Desmarais is a professor in the computer and software engineering department of Polytechnique Montréal, affiliated with the Université de Montréal since 2002. His areas of expertise are artificial intelligence, human-machine interfaces and cognitive modeling. After completing his Ph.D. in psychology at the Université de Montréal, he spent ten years at the Montreal
François Bellavance is a professor in the Department of Decision Sciences at HEC Montréal affiliated with the University of Montreal. He is a member of the CIRRELT Research Center, the Scientific and Technological Transfer Committees of the Data Recovery Institute, a safety researcher in Quebec, that he led from 2010 to 2015 and an associate member of GERAD. He obtained his Ph.D. in Statistics in 1994 from the University of Montreal. He was director of service statistical consulting at Simon Fraser University (1990-1993), a biostatistician at the Hospital of St. Mary and assistant professor in the department of epidemiology and bio - statistics from McGill University (1994- 1998), before joining HEC Montréal in 1998.