Lots of organizations that are a bit clueless and trying to catch up quickly, driven by hype, think they need deep learning when they actually need Bayesian learning.

Instead of looking at stuff from Murphy volume I, they should look at volume II or Gelman's books.

There are neat combinations of ideas from both fields. Aside from volume II, Pyro's documentation provides some interesting use cases.