Gartner Research

Machine Learning Drives Digital Business

Published: 11 August 2014

ID: G00263964

Analyst(s): Noha Tohamy , Charlotte Patrick , Will Cappelli , Simon Jacobson , Alexander Linden , Lisa Kart

Summary

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

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