'Artificial deep machine learning intelligence' is never your first option

When I was working at a university, I was involved in a conversation with a representative of an energy company. He was having all manners of problems with a valve. It was failing too often. He wanted us to look at what we could do in terms of optimizing the preventive maintenance (PM) or servicing regime to hopefully fix these problems. But … there was a catch.

He had heard about ‘deep learning’ and ‘artificial intelligence’ from another university. And he wanted some of it.