Gartner Research

China Summary Translation: 'Doing Machine Learning Without Hiring Data Scientists'

Published: 27 November 2016

ID: G00319500

Analyst(s): Owen Chen , Alexander Linden


Many data and analytics leaders face a chicken and egg situation — without data scientists, venturing into machine learning and data science is tricky, but without any successful pilots, convincing the business to hire data scientists is tricky too. Here, we offer proven solutions to this dilemma.

Table Of Contents



Doing Machine Learning Without Hiring Data Scientists

  • Key Challenges
  • Recommendations



  • Upskill Existing Staff
  • Partner With Academia
  • Hire Third-Party Professionals
  • Utilize Packaged Applications

Gartner Recommended Reading

©2021 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

Learn how to access this content as a Gartner client.