I'm not sure I'd call it vaporware. I've not used it myself, but the more objective reports I've seen indicate that Watson is very good at what it does. The pro

I'm not sure I'd call it vaporware. I've not used it myself, but the more objective reports I've seen indicate that Watson is very good at what it does. The problem seems more to be what it does - accurately interpreting and then answering queries written in natural language - isn't actually that useful. For example, for drug discovery: I'm guessing, off the cuff, that there are other drug discovery tools out there, and that, while they don't allow you to frame your searches in terms of natural language queries, that's probably not actually a problem in practice. Because the querying methods they've developed are presumably highly tuned to their real task, which is enabling a skilled and knowledgeable practitioner to specify what they're looking for with great precision. It's sort of like programming languages: The ones that are designed to be the closest to natural language (e.g., AppleScript) do have a gentle learning curve for absolute beginners, but they also turn out to be some of the very worst languages for trying to do any sort of serious work.