From Complexity to Competitive Advantage

An introduction to unsupervised AI for the enterprise analytics

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Enterprises are projected to spend $100 billion on AI by 2023. The dominant form of machine learning used within the Analytics and BI industries are based on supervised learning. This form of traditional AI has struggled to scale across vast complexity of enterprise data. But the recent introduction of scaled unsupervised learning is transforming how enterprise’s analyze and find hidden insights within their complex data.

Learn how scaled unsupervised learning is changing both how businesses approach analysis, empowering them to surface insights from greater volumes of structured and unstructured data, and how a new generation of platforms is even dramatically reducing the need for time-consuming data preparation work.

What's in the Whitepaper?

Unsupervised is recognized by Gartner as a Cool Vendor in Data Science and Analytics for 2020

As one of the four vendors recognized in the Gartner 2020 Cool Vendors in Analytics & Data Science report, Unsupervised is a data intelligence platform with a new approach to analytics.

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, Cool Vendors in Analytics & Data Science, Julian Sun, Jim Hare, Rita Sallam, James Richardson, Afraz Jaffri, 7 May 2020. The GARTNER COOL VENDOR badge is a trademark and service mark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved. 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 & Advisory 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.