In November 2024, the Gartner company published instances of its popular hype cycles on AI in general and the narrower topic of generative AI. While generative AI is still a dominating technology, Gartner identifies AI engineering and knowledge graphs as the two biggest movers in their 2024 AI Hype Cycle. AI Engineering was placed at the “peak of inflated expectations”, and knowledge graphs on the cycle’s “slope of enlightenment”.
Gartner defines AI engineering as
and knowledge graphs as"AI engineering unites various disciplines from across the organization to tame the AI hype while providing a clearer path to value when operationalizing the combination of multiple AI techniques (including GenAI models). It also includes responsible AI, dealing with risk, trust, transparency, ethics, fairness, and accountability."
"Knowledge graphs are machine-readable representations of the physical and digital worlds. They capture information in a visually intuitive format, yet are still able to represent complex relationships. More importantly, they provide dependable logic and explainable reasoning (as opposed to GenAI’s fallible but powerful predictive capabilities)."
UMBC Center for AI ]]>