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