> Yeah I don't know about that. At best they are starting to incorporate deep learning into Watson. I'm guessing Watson has always been a rules engine and more

> Yeah I don't know about that. At best they are starting to incorporate deep learning into Watson. I'm guessing Watson has always been a rules engine and more specifically one designed with a lot of statistical analysis. There's so much confusion in the market as to what Watson is, and much of it is IBM Marketing's fault. Watson is a Natural Language Processing platform. At a low level it does all the standard NLP stuff - tokenization, part of speech tagging, lemmatization, dependency parsing, co-reference resolution, stopword removal, synonym expansion, etc. Some of this is rule based, some is ML based. Building on top of that you have stuff like an Intent Classifier, Passage Retrieval with a Ranker, Named Entity extraction, Relationship extraction, and Sentiment tagging. Building on top of that, you have the actual commercial applications - chatbot/assistant, semantic search engine, knowledge graph, etc. That's what it is. It's not vaporware or smoke and mirrors, but it's obviously not AGI either.