Watson in the Organization

In the 90s, during the last rise in the use of artificial intelligence in business, we were also impressed with how the basic capabilities could improve and extend expertise.  We built dozens of advisory systems that saved millions.  Management was planning some very impressive next steps.  Now we are back to where we were then, we have tools, but will they consistently deliver  practical applications in business?  A look at the current state of progress.

My view of key challenges:  Linking strongly to the decision process.  Acceptance by management.   Strong connections to required data and sensors.   Supporting maintenance of knowledge in given context.  Integration of analytical methods.