Using an intelligence driven system as an alternative approach to data analysis

Using an Intelligent System as an alternative technique to perform data analysis presents the possibility of improving the quality of decision making. Decision makers have traditionally turned to the emerging paradigm of Artificial Intelligence as a panacea for intricate, complicated data analysis problems.  But, many applications the solutions proposed for these problems appear to be almost trivial applications of Artificial Intelligence, or the application process leads to inelegant solutions for lower order problems.  Expert Systems and Decision Support Systems may require specific contextual situations for application or, in the case of Expert Systems, may require the user to be a subject matter expert in order to be able to realistically communicate with the system. This paper considers the function of the interface or boundary between the human and the machine. Much more elegant solutions evolve when each is assigned roles that are in concert with their capabilities. The goal of such a reevaluation is seen tp be the development of hybrid, human-machine processes.  Such processes are designated in this paper as Intelligent Systems. The paper specifically considers the role of data analysis as it applies to Intelligent Systems and data analysis.