Many Fortune 500 companies have assembled AI departments. Harmon and King predict: "Expert systems will transform the way businesses operate by learning the way folks consider solving problems" (p. 1).
Expert systems are only in their infancy, as can also be witnessed by the short period of time during which they've been employed to real-life situations instead of simply laboratory problems. The number of applications is extremely broad, and for purposes of this discussion will likely be limited to corporation applications for instance would be of interest to corporate America. An analysis of predictions and projections relating to future developments and applications of expert systems must also show the direction analysts consider the workplace from the future will take due to getting shaped and altered by the implementation of expert systems more than the following many years. Analysts have available several hopeful suggestions regarding possible uses of expert systems as well as the consequences of implementing these systems, while the true consequences may be quite numerous form what has been predicted. To date, expert systems are right after a clear path toward providing new decision-making tools within the office environment, as well as the degree of achievement observed for these systems will determine their direction and proliferation from the future.
An article inside the British magazine The Economist (1989) makes it clear th
Richardson (1990) states that the most successful applications of expert systems technology have been responses to a problem, and expert systems usually solve difficulties that traditional info technology cannot. This trend will continue as expert systems are developed for applications that conventional technology could not aid. Richardson and DeFries (1990) discuss the advantages of expert systems and cite two: 1) increased productivity, or an enhancement within the efficiency of existing operations, which often translates to price savings; and 2) a achieve in effectiveness. Expert systems have also been observed interesting in training and orientation: "Learning on-the-job is facilitated once what is to be learned has already been codified and can also be presented towards trainee in the context of actual task performance" (p. 13).
Harmon, Paul and David King. Expert Systems: Artificial Intelligence in Business. New York: John Wiley & Sons, 1986.
Harmon and King (1985) predict a number of uses for expert systems, all based close to new opportunities and changes in old systems and procedures: "This new technology will make it possible to develop quick, pragmatic answers for a wide amount of problems that currently defy effective solutions" (p. 1). They think that expert systems can support America solve its productivity problems: "It will assist companies reorganize themselves into much more efficient and potent organizations. It's going to do this by helping people solve problems more effortlessly and successfully than they can today" (p. 1). Expert systems will supply the worker using a strong computerized workstation that makes it feasible to handle far more data in more complex methods than is now regarded as possible.
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