Gartner Research

Clarify Strategy and Tactics for Artificial Intelligence by Separating Training and Machine Learning

Published: 14 March 2018

ID: G00351650

Analyst(s): Magnus Revang , Anthony Mullen , Erick Brethenoux

Summary

Enterprises conflate AI training and learning. By putting both in the hands of vendors, they create dangerous lock-in. By delineating training and learning, data and analytics leaders can shape training capabilities as a strategy to train commodity AI platforms and tools that learn.

Table Of Contents

Analysis

  • Moving Beyond Tactical Siloed Deployments for AI Is a Major Challenge
  • Pockets of Intelligence Rather Than Collective Intelligence
  • Organizations Block Their Ability to Train Through Poor Mining and Exploitation of Data
  • View AI Efforts Through Two Lenses — Training and Learning
    • Platform-Independent Training and Test Data Curation Is Within Reach for Most Enterprises
  • Conclusion
    • Implement the Concept by Developing AI Data Skills and Using Middleware to Connect Training to Learning
    • Training Is a Process Involving Both Technology and People
    • A New Breed of a Problem-Solving Team — From Data Science to Cognitive Science

Gartner Recommended Reading

©2019 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.

Already have a Gartner Account?

Purchase this Document

To purchase this document, you will need to register or sign in above

Become a client