Machine Learning Drives Digital Business

Archived Published: 11 August 2014 ID: G00263964

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Machine learning, already one of the most versatile technologies of the past decade, will gain even more traction in a digital business. This research, aimed at the architects of digital business, discusses the technology basics, benefits and pitfalls, and the abundance of use cases.

Table of Contents

  • What You Need to Know
  • Analysis
    • Technology Description
      • A Quick Illustration of Supervised Learning
    • Operating Requirements
    • Uses Cases
      • Sales and Marketing
      • Risk and Fraud Management
      • Public Services, Smart Cities, Smart Transportation
      • Supply Chain Processes and Digital Production
      • Healthcare
      • Cognitive Abilities for Better User Interfaces
    • Benefits and Risks
    • Vendor Selection Guidelines
      • Building a Machine Learning Solution In-House
      • Buying a Packaged Analytic Application That Contains Machine Learning Components
      • Outsource (or Crowdsource) the Custom-Building of a Machine Learning Solution
  • Gartner Recommended Reading
© 2014 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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