The Covid-19 pandemic has proved that history no longer repeats itself when it comes to understanding consumer behavior. Demand forecasting systems have been ill-equipped to address disruptions to our ...

Artificial intelligence-driven algorithms can be used to better forecast models for natural disasters, saving lives and protecting property by rapidly analyzing massive data sets and identifying ...

A new machine learning model developed by Mount Sinai researchers could reduce overcrowding in emergency departments, improve staff efficiencies and boost patient outcomes by informing ED ...

Picture a single forecasting mistake triggering a cascade of negative consequences, such as surplus inventory, strained supplier relationships and disappointed customers. In today's world, accurate ...

You have /5 articles left. Sign up for a free account or log in. Provided/School of the Art Institute of Chicago In 2019, Kyle O’Connell had a vision of leveraging ...