Shift scheduling sounds like a deceptively simple problem until you have to do it in a large organization like a hospital, with many shifts over several weeks, with many rules dictated by collective agreements.
Maybe not so simple after all. The multi-dimensional aspects of shifts and the millions of variables involved require a computer program at least as smart as a human. And that's where machine learning, a field that involves computers able to learn and improve without being specifically programmed with the data, comes to the table.
Like several firms in the artificial intelligence and machine learning field in Edmonton, PFM Scheduling was born to solve a problem.