ID Number: G00219673




Maverick* Research: Judgment Day, or Why We Should Let Machines Automate Decision Making
7 October 2011
 
Nigel Rayner  

In the "Terminator" films, Judgment Day is when a computer network becomes self-aware and takes over the world. We explore how far machines can take over business decision making. Maverick research deliberately exposes unconventional thinking and may not agree with Gartner's official positions.








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Table of Contents

Contents
  • Analysis
    • *Maverick Research
    • Introduction
    • Why Humans Can't Be Trusted to Make Good Business Decisions
      • The Myth of the Rational Business World
      • The Postmodern Business World Creates New Pressures
      • Motivation Systems Distort Rational Decision Making
      • Machines Are Better Predictors of the Future Anyway
    • Key Technologies to Support Machine-Based Decision Making
      • Machine Learning and "Thinking" Machines
      • Business Simulation and Modeling
      • CDM
      • Intelligent Business Operations
      • Big Data and Extreme Information Management
    • Potential Impact of Machine-Based Decision Making on Business and Society
      • Today: Augmented Decision Making
      • Near Future: Machina Economica and a New Governance Model
      • Potential Endgame: Skynet-Based Economic System
      • Potential Impacts on Society
    • Why Might This Not Happen?
    • Conclusion
  • Recommended Reading
Figures
Figure 1.
Cognitive Bias in Decision Making
Figure 2.
Information and Communications Technologies and a New Golden Age?




© 2011 Gartner, Inc. and/or its Affiliates. All Rights Reserved. Reproduction and distribution of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartner's research may discuss legal issues related to the information technology business, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The opinions expressed herein are subject to change without notice.




Resource Id: 1818018