Gartner Research

Introduce the Machine Learning Architect — An Emerging Technical Professional Role in AI Initiatives

Published: 22 May 2019

ID: G00384355

Analyst(s): Carlton Sapp

Summary

Organizations struggle to deal with unmanageable diversity in ML projects in support of AI. To overcome this challenge, technical professionals should examine the ML architect role. This research defines the role, chronicles the skill sets needed for success and shows how to get started.

Table Of Contents

Analysis

  • Introduction
  • What Is an ML Architect and What Is It Responsible For?
  • Why Do We Need an ML Architect?
  • How Can the ML Architect Relate to Other Architecture Roles?
  • What Can an ML Architect Do?
  • Where Can an ML Architect Fit Within the Organization?
  • Where Can ML Architects Come From in the Organization?
  • What Technical and Nontechnical Skills Does an ML Architect Need?
  • How Can IT Professionals Obtain the Necessary Skills for ML Architecture?

Conclusion

Gartner Recommended Reading

©2020 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?

Log In

Become a client

Learn how to access this content as a Gartner client.

Learn More