Hype Cycle

25. October 2021

ONE LOGIC recognized in Gartner® Report once again

ONE LOGIC named in 2021 Hype Cycle™ for Data Science and Machine Learning

We are excited to be recognized in another report released by Gartner®, a company that delivers actionable, objective insight to executives and their teams! After having been named a Gartner Cool Vendor™ 2021 for “AI core technologies”, ONE LOGIC has now received a recognition in the 2021 Gartner Hype Cycle™ for Data Science and Machine Learning. There we were named a Sample Vendor in the field of ModelOps.

We feel, these innovations are some of the most promising that are set to enter the mainstream within the next 5-10 years: for those companies seeking to respond to changes within their analysis and AI pipelines in a more agile and reactive way, these innovations will assist with the operationalization and governance of all analysis, decision and AI models.


Gartner Hype Cycle, Farhan Choudhary, Alexander Linden, Jim Hare, Pieter den Hamer, Shubhangi Vashisth, 02 August 2021.

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. 

In seeking to develop a stable data product, many companies fail when implementing their projects because of the quality-assurance aspect of the models used and the manner in which they are scaled. 

This is exactly where our Data Product Builder ONE DATA comes into play:

With this software, ONE LOGIC consolidates current trends within a central application that allows for comprehensive (quality) management of master data –including data in heterogeneous systems. This paves the way for cross-system analyses.

By using machine learning technology, we ensure highly complex data management. The ModelOps in ONE DATA facilitates transparency, governance and analysis at the touch of a button.

Comprehensively connecting master data is essential for informative reporting. To be able to provide substantiated, cross-system analyses and forecasts, it is essential to create a joint basis of data that can – for example – unite material flow information and transactional data. 

To find out how this has been successfully put into practice by one of our customers, read this use case.

GARTNER® and Hype Cycle are registered trademarks and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are 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 ONE LOGIC.

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.

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2021 Gartner Hype Cycle™ for Data Science and Machine Learning

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