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Saving Lives Through Visual Predictive Modelling

October 14, 2021 at 11:00 AM to 12:00 PM


Carleton University Institute for Data Science (CUIDS)


The core mission of CAA is to rescue stranded motorists and save lives. Protecting over 2.6 million Members, between 3,200 and 5,500 rescues are conducted each day. In order to maximize a finite set of rescue resources, CAA uses machine-learning algorithms to predict the precise location of motorist breakdowns. By knowing when and where breakdowns will occur, CAA is able to pre-position rescue vehicles at the right location at the right time to rescue the motorist.

Join CAA President and CEO, Jay Woo, and CAA Director, Emergency Roadside Systems, Lena Yam, for an overview of the technology that CAA developed called Geo-Temporal Gen 2. Accompanied by a live view into Geo-Temporal Gen 2, you will see mathematical and probability theory put into real-life action and witness the accuracy of the predictive models that are generated by Geo-Temporal Gen 2 to save lives.

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