Pietro De Bottis
Pietro leads the Canadian Operations Technology strategy for Cadillac Fairview, a global CRE investor, owner, and operator of more than $36 billion in assets. He provides leadership and governance in the planning, design, delivery, change management, and sustainment of PropTech and Smart Building technologies across a Canadian portfolio of 69 high-end office and retail landmark properties. In his career, Pietro has had the privilege to plan, develop, modernize and operationalize some of the largest and most influential properties in Canada. Over the past ten years, he’s worked with CRE developers, technology vendors, owners and operators to drive operational excellence, build top-tier project teams, and deliver results for commercial office, retail, healthcare, industrial, residential and mixed-use assets. Pietro brings value to organizations by leveraging his experience in real estate development, program and project management, Operational Technology, Smart Buildings, and capital planning in order to drive growth and change through governance and digital transformation. He holds a Lazaridis MBA specialized in Strategy & Intrapreneurship, and an undergraduate degree from the University of Toronto in Electrical Engineering, specialized in energy and telecommunications. He is a Professional Engineer of Ontario, a Project Management Professional and Scrum Master.
All Sessions by Pietro De Bottis
Artificial Intelligence/Machine Learning in Buildings: The Future is Already Here
Artificial intelligence (AI) and machine learning (ML) are embedding themselves in almost all aspects of our lives -building operations included. Building systems, especially HVAC, are a complicated set of interrelated components reacting to an almost endless stream of dynamic variables, be it weather, occupancy, or space utilization. Historically, it has been a challenge, to say the least, for building operations to optimize system performance in such a dynamic condition. The use of AI/ML is now proving itself as capable of analyzing and acting on this information to drive better building performance. This session will bring together pioneers in this field as well as real building experience in the deployment of AI/ML in the commercial building space.