- "Watson" is one of the first prototypes of the system, that can perform QA task (automatically answering a question posed in natural language by voice) really fast, which is applicable to almost any industry from Health Care to Aerospace.
- The source of it's knowledge is coming from crawling a huge amount of unstructured data including articles from Wikipedia, which is, with no doubt, an example of crowd-sourced knowledge base and social software service.
- Taking into account the obvious business advantages, which systems like Watson, can bring to enterprises by speeding up decision making, market analysis, problems determination, etc., the problem of creating knowledge base for the systems like it, becomes to have really big priority.
All three things above, plus the speed of technology evolution, brings me to an idea, that the need of social software services in enterprises for collecting data becomes continue to rise and will become huge competitive advantage in very near future.
To estimate the time when answering human questions by machine will become something ordinary, remember how much people can do with desktop computers 10 yeas ago comparing to what they can do with modern smartphone + cloud computing now.