What exactly is Watson except a marketing term? I mean, as far as I understood it, it's Apache UIMA with some bare bones NLP bolted on, using RDF ontologies to power some inference. But I've never seen it being used in the wild except as a tool to win over people to the IBM-side, raking in large contracts ultimately doomed to fail due to lack of domain knowledge. It all seems so ... familiar. Now everyone is rushing into Deep Learning for NLP, but apart from things like sentiment analysis on synthetic data sets ... it's still /hard/ and needs constant attention. I really don't see how you can "IBM Watson" stuff unless you're already heavily invested on integrating NLP/ML into your workflow ... and that's tricker than it looks. The stuff on BlueMix seems nice and all, but far from a silver bullet or golden hammer when it gets down to the nitty gritty of real world data.