There’s plenty of hype around artificial intelligence, machine learning, and data science, but we are confident you can cut right through that in Gartner’s latest report, “2020 Magic Quadrant for Data Science and Machine-Learning Platforms.”

We believe you will learn about:

  • Why platforms must support not only model building but model operationalization
  • The diverse range of DSML platform users, from data scientists and citizen data scientists to line of business teams

Get your complimentary copy of the full report today and see how various data science and machine learning platforms are positioned.

"Gartner 2020 Magic Quadrant for Data Science and Machine Learning Platforms," by Peter Krensky, Pieter den Hamer, Erick Brethenoux, Jim Hare, Carlie Idione, Alexander Linden, Svetlana Sicular, Farhan Choudhary; February 11, 2020

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and is used herein with permission. All rights reserved.

This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Alteryx. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Read Report

Loading Form

Privacy Policy