To see one example of how this sort of AI works, picture a hotel attempting to forecast its demand for the upcoming year, armed with nothing but existing data and a simple Excel spreadsheet. Before predictive AI, hotel owners would often be left playing a guessing game, trying to predict demand while grappling with inefficiencies and wasted resources. With this form of AI, they could instead input a wealth of data—weather patterns, local events, and competitor pricing—and generate far more accurate predictions.
