Canada Excellence Research Chair in Data Science for Real-Time Decision-Making

Data Science for Real-Time Decision-Making

Andrea Lodi, Canada Excellence Research Chair in Data Science for Real-Time Decision-Making, and his team’s work to develop new tools and methodologies will allow enormous volumes of data from multiple sources to be processed and analyzed in real time to obtain useable knowledge and to automate decision-making.

By combining processes for analyzing highly targeted data and real-time decision-making, their mathematical model-based tools will help organizations improve performance by creating highly customized outputs and taking into account the environments and the needs and individual behaviours of their clients or users. The tools will also help improve supply processes and resolve unforeseen problems.