Gartner Research

Machine Learning Drives Digital Business

Published: 11 August 2014

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.

Included in Full Research

  • 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

Analysts:

Noha Tohamy Charlotte Patrick Will Cappelli Simon Jacobson Alexander Linden Lisa Kart

Access Research

Already a Gartner client?

To view this research and much more, become a client.

Speak with a Gartner specialist to learn how you can access peer and practitioner research backed by proprietary data, insights, advice and tools to help you achieve stronger performance.

By clicking the "Continue" button, you are agreeing to the Gartner Terms of Use and Privacy Policy.

Gartner research: Trusted insight for executives and their teams

What is Gartner research?

Gartner research, which includes in-depth proprietary studies, peer and industry best practices, trend analysis and quantitative modeling, enables us to offer innovative approaches that can help you drive stronger, more sustainable business performance.

Gartner research is unique, thanks to:

Independence and objectivity

Our independence as a research firm enables our experts to provide unbiased advice you can trust.

Actionable insights

Not only is Gartner research unbiased, it also contains key take-aways and recommendations for impactful next steps.

Proprietary methodologies

Our research practices and procedures distill large volumes of data into clear, precise recommendations.

Gartner research is just one of our many offerings.

We provide actionable, objective insight to help organizations make smarter, faster decisions to stay ahead of disruption and accelerate growth.

Tap into our experts

We offer one-on-one guidance tailored to your mission-critical priorities.

Pick the right tools and providers

We work with you to select the best-fit providers and tools, so you avoid the costly repercussions of a poor decision.

Create a network

Connect directly with peers to discuss common issues and initiatives and accelerate, validate and solidify your strategy.

Experience Information Technology conferences

Join your peers for the unveiling of the latest insights at Gartner conferences.

©2022 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. and its affiliates. This publication may not be reproduced or distributed in any form without Gartner’s prior written permission. It consists of the opinions of Gartner’s research organization, which should not be construed as statements of fact. While the information contained in this publication 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 research may address legal and financial issues, Gartner does not provide legal or investment advice and its research should not be construed or used as such. Your access and use of this publication are governed by Gartner’s Usage Policy. Gartner prides itself on its reputation for independence and objectivity. Its research is produced independently by its research organization without input or influence from any third party. For further information, see Guiding Principles on Independence and Objectivity.