Artificial Intelligence Primer for 2017


Archived Published: 03 February 2017 ID: G00318582

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Summary

Applications that teach themselves rules to mimic human insight and tactical thinking are more practical than ever. Artificial intelligence and cognitive computing employ machine learning, deep neural networks and other technologies to achieve new levels of performance and insight.

Table of Contents

  • Scope
  • Analysis
    • Top Challenges and How Gartner Can Help
      • What are the benefits and cautions of artificial intelligence technologies?
      • What are AI's optimum uses in applications and industries?
      • How must organizations adjust business practices to benefit from artificial intelligence?
      • How must enterprise architecture change to adapt to AI?
      • How will software and services vendors establish competency in AI?
      • How will AI-related technologies and best practices develop?
  • Related Priorities
    • Suggested First Steps
    • Essential Reading
© 2017 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 Gartners 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.

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