Some years ago, I was involved in developing artificial intelligence (AI) expert systems. I built expert systems to troubleshoot failures in highly engineered systems such the General Eclectic T700 turboshaft engine, a commercial high-volume photocopier, a blood chemistry analyzer, and similarly complex and difficult to diagnose and repair systems.
Xerox Corp. was looking for an artificial intelligence solution to support field service operations. The finalists were my company and another diagnostic expert system company that used similar AI technology. Unable to determine which systems offered a better solution, Xerox decided to conduct a rigorous and objective evaluation by holding a double-blind face off between the two expert systems. Read More