Gartner Report: Data Science Platform Critical Capabilities

This Gartner report guides you on what to look for when choosing a data science platform.

Published: Dec 14, 2017
Updated: Jan 29, 2018
2 minute read
data science platform

<p>Businessman and businesswoman analyzing data information of market</p>

With IoT and other disruptive technologies creating a deluge of data, and with growing deployment of artificial intelligence, enterprise data and analytics executives need to keep an eye on the booming data science market for new critical capabilities and use-case scenarios for data science platforms.

In this special report from Gartner, you will learn:

  • The main drivers of data science tool selection for different data science use cases
  • Tips and key considerations when choosing a data science platform, including future trends through 2020
  • The differences between vendors included in Gartner’s 2017 “Magic Quadrant for Data Science Platforms”

Fill out the form below to access the report. To learn more about the data science market and platform criteria, registration for the Gartner Data and Analytics Summit 2018, March 5 – 8, in Grapevine, TX is now open.

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