Home Gartner’s Hype Cycle for Artificial Intelligence: 2020–2023

Gartner’s Hype Cycle for Artificial Intelligence: 2020–2023

by Ant Sh
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Gartner's Hype Cycle for Artificial Intelligence: 2020–2023

What technologies made the biggest and the least moves forward in Gartner’s Hype Cycle for Artificial Intelligence from 2020 to 2023? Here is a brief report.

Data Labelling and Annotation (DL&A)

— A process where data assets are further classified, segmented, annotated and augmented to enrich data for better analytics and AI projects.
— Moved 2 sectors forward: from Peak of Inflated Expectations (2020) to Slope of Enlightenment (2023).
— Less than 2 years left till the Plateau sector.

Cloud AI Services

— Provide AI model building tools, APIs for prebuilt services and associated middleware that enable the building/training, deployment and consumption of machine learning (ML) models running on prebuilt infrastructure as cloud services.
— Moved 2 sectors forward: from Peak of Inflated Expectations (2020) to Slope of Enlightenment (2023).
— 2 to 5 years left till the Plateau sector.

Intelligent Applications

— Utilize learned adaptation to respond autonomously to people and machines.
— Moved 2 sectors forward: from Peak of Inflated. Expectations (2020) to Slope of Enlightenment (2023)
— 2 to 5 years left till the Plateau sector.

Generative AI

— As you can see in the carousel, the technology has consistently moved to the Peak of Inflated Expectations on the Hype Cycle for the last three years. That is, according to Gartner, it wasn’t just a 2023 jump due to the ChatGPT splash.
— Moreover, this year, Gartner has changed the time prospected for reaching by Generative AI the Plateau sector from 2–5 (2020, 2021, 2022) to 5–10 years.


Autonomous Vehicles

— The same sector (Through of Disillusionment) 4 years running.
— 5 to 10 years left till the Plateau sector.

Composite AI

— Refers to the combined application (or fusion) of different AI techniques to improve the efficiency of learning to broaden the level of knowledge representations. It solves a wider range of business problems in a more effective manner.
— Starting very close to Generative AI, this technology made very moderate move forward and is still in the same sector (Innovation Trigger) for the fourth consecutive year.
— 2 to 5 years left till the Plateau sector (but keep in mind that the 2020 and 2021 forecasts failed).