Hype Cycle for Artificial Intelligence, 2023


This Hype Cycle shares research into AI innovations and introduces where Gartner® believes they sit amongst each other in the Hype Cycle from the Innovation Trigger and Peak of Inflated Expectations through to Trough of Disillusionment, Slope of Enlightenment, and Plateau of Productivity. 

Grab the Report

What's Inside?

Hype Cycle for Artificial Intelligence, 2023, authored by Afraz Jaffri notes that,

“Data and Analytics leaders must leverage this research to prepare their AI strategy for the future and utilize technologies that offer high impact in the present.”


These AI innovations also come with an Benefit Ranking accompanied by a Years to Mainstream Adoption. On the report you’ll find Knowledge Graph currently in the Trough of Disillusionment with 2-5 years to Mainstream Adoption.

To us, what’s interesting about most of the AI innovations is from our point-of-view Knowledge Graph (listed as an AI innovation) is simultaneously a key enabler to many of the other listed AI innovations.

“Knowledge Graphs are the second biggest mover on the Hype Cycle and have been touted as the solution to many of the problems with Generative AI techniques, but still require some work to become a mainstream technology.”


This research also lists Knowledge Graph as an innovation among those that

“D&A leaders should balance the strategic exploration of high-value propositions with those that do not require extensive engineering or data science proficiency, and that have been commoditized as stand-alone applications and within packaged business solutions.”


Read the report. After that, chat with us about how to get started.

Grab the Report

Gartner, Hype Cycle for Artificial Intelligence, 2023, Afraz Jaffri, 19 July 2023

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 document is available upon request to Cambridge Semantics.

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and HYPE CYCLE is a registered trademark of Gartner, Inc. and/or its affiliates and are 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 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.