This will save it a fortune, avoiding costly downtime from taking working planes out of service for scheduled maintenance while spotting issues before they become a problem. So, it identifies someone in the IT team who is keen on machine learning to solve the problem. The problem is that AI is being built by people who don’t really understand it. As more money is invested and bigger returns expected, there is a real need to professionalize AI. Five Amateur AI pitfallsLet’s look at where things go wrong without professional standards, and how to avoid them.

Source: Forbes May 09, 2018 11:26 UTC