2020 Critical Capabilities for Data Science and Machine Learning Platforms


Are you evaluating Data Science and Machine Learning (DSML) platforms?

“The functions and features of data science and machine learning platforms are evolving quickly to keep pace with a highly innovative space.”*

This report from Gartner provides insights and recommendations for data science and analytics leaders for evaluating data science and machine learning (DSML) platforms. It includes analysis of Domino Data Lab and 15 other platforms across 15 critical capabilities.

What’s inside:

  • Key Findings
  • Recommendations
  • Strategic Planning Assumptions
  • What You Need to Know
  • Analysis

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About Domino Data Lab

Domino Data Lab provides the world’s most advanced data science solution, powering organizations that are using predictive models to drive their business. Companies including Allstate, Coatue, Dell, Bayer, Moody’s, and startups alike use Domino to accelerate breakthrough research, increase collaboration and productivity of data scientists, and more rapidly deliver models to drive business impact.

About Gartner

Gartner, Inc. is the world’s leading research and advisory company. They help business leaders across all major functions in every industry and enterprise size with the objective insights they need to make the right decisions.

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.

Gartner, Critical Capabilities for Data Science and Machine Learning Platforms, Pieter den Hamer, Peter Krensky, Alexander Linden, Carlie Idoine, Erick Brethenoux, Jim Hare, Svetlana Sicular, Farhan Choudhary, 2 March 2020

* 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 of a particular purpose.

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