Futurists have long anticipated the day when the computer managers and professionals from the need would relieve certain types of decisions to make. But automated decision making has been slow to materialize. Argues that automated decision making is finally old and the new generation of applications differs significantly from prior decision support systems. Today’s applications are easier to build and manage than previous systems. Instead of people required to identify the problems and in. .. Read more »

Futurists have long anticipated the day when the computer managers and professionals from the need would relieve certain types of decisions to make. But automated decision making has been slow to materialize. Argues that automated decision making is finally old and the new generation of applications differs significantly from prior decision support systems. Today’s applications are easier to build and manage than previous systems. Rather than require people to identify or to initiate the analysis, companies typically embed decision-making capabilities in the normal course of the work the problems. These systems then sense online data apply codified knowledge or logic, and make decisions – all with minimal amounts of human intervention. They can help companies to generate decisions as are consistent man-made, and they can help managers quickly access decision to act – helping businesses to reduce labor costs, use just expertise to improve the quality, policy enforcement and respond to customers. How is the automation of decisions is more possible, companies need to think about the choices people have and that can been computerized.
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from
Thomas H. Davenport,
Jeanne G. Harris
Source: MIT Sloan Management Review
9 sides.
Release Date: 1 July 2005. Prod #: SMR182-PDF-ENG
Automated Decision Making Comes of Age HBR case solution

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