Using AI to forecast resource supplies in natural disasters SciTech Europa

A leading technology provider and data-driven consulting organisation, and the Schulich School of Business at York University have announced a partnership to create a predictive analytics model that identifies and forecasts supply and demand of necessary resources in a disaster-related emergency. The model evaluates existing wildfire data points and feeds into an ad hoc trading platform which key stakeholders can use to option the right amount of services and supplies in the most cost-effective manner. The project aims to bring together local governments, insurers and medical supplies providers to collaborate and plan proactively for optimal disaster management. Available in June 2020, the platform is the first in a series of analytics tools that the Schulich School of Business and Exigent will develop to deliver on their core focus: turning data into actionable business intelligence and community-centric analytics products. The collaboration is part of the Masters in Business Analytics Program (MBAN) at Schulich.