Gartner Research

Integrating Machine Learning Into Your Application Architecture

Published: 08 February 2018

ID: G00320952

Analyst(s): Gary Olliffe

Summary

Machine learning is at the peak of hype, propelled by its association with artificial intelligence. Technical professionals responsible for application architecture must cut through the hype to understand how ML technology solves real-world problems and how to integrate it into their solutions.

Table Of Contents

Analysis

  • What Is Machine Learning?
  • Why Is Machine Learning Relevant Now?
  • Developers: The Next Target for ML Technology Providers
  • ML's Impact on Modern Applications Is Localized and Integral
  • Options for Sourcing ML Capabilities
    • Using ML-Based APIs
    • Using Pretrained ML Model Definitions With an ML Framework
    • Training New Models
  • Strengths
  • Weaknesses

Guidance

  • Application Architects Should Treat Machine Learning as a New Service Implementation Architecture
  • Learn the Basic Vocabulary and Skills to Understand ML
  • Use ML-Based APIs as a Starting Point
  • Build Working Relationships With Data Science Colleagues

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?

Become a client