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<News hasArchived="false" page="1" pageCount="1" pageSize="10" timestamp="Tue, 28 Apr 2026 01:36:49 -0400" url="https://beta.my.umbc.edu/groups/umbc-ai/posts.xml?tag=ai-engineering">
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<Title>2024 Gartner Hype Cycle for AI</Title>
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<![CDATA[
    <div class="html-content"><div><a href="https://emt.gartnerweb.com/ngw/globalassets/en/articles/infographics/hype-cycle-for-artificial-intelligence-2024.jpg" rel="nofollow external" class="bo"><img src="https://ai.umbc.edu/wp-content/uploads/sites/734/2025/01/AI_hype-cycle.jpg" style="max-width: 100%; height: auto;"></a></div><div><br></div><div><span>In November 2024, the </span><a href="https://en.wikipedia.org/wiki/Gartner" rel="nofollow external" class="bo"><span>Gartner</span></a><span> company published instances of its popular </span><a href="https://en.wikipedia.org/wiki/Gartner_hype_cycle" rel="nofollow external" class="bo"><span>hype cycles</span></a><span> on AI in general and the narrower topic of generative AI. While generative AI is still a dominating technology, Gartner identifies </span><a href="https://en.wikipedia.org/wiki/Artificial_intelligence_engineering" rel="nofollow external" class="bo"><span>AI engineering</span></a><span> and </span><a href="https://en.wikipedia.org/wiki/Knowledge_graph" rel="nofollow external" class="bo"><span>knowledge graphs</span></a><span> as the two biggest movers in their </span><a href="https://www.gartner.com/en/articles/hype-cycle-for-artificial-intelligence" rel="nofollow external" class="bo"><span><strong>2024 AI Hype Cycle</strong></span></a><span>. </span><span>AI Engineering was placed at the “peak of inflated expectations”, and knowledge graphs on the cycle’s “slope of enlightenment”. </span></div><div>Gartner defines AI engineering as</div><blockquote><div><span><br></span></div><div><span>"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." </span></div><div><span><br></span></div></blockquote><span>and knowledge graphs as</span><div><span><br></span><blockquote><div><span>"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)."</span></div><div><span><br></span></div></blockquote></div>
    <hr><a href="https://ai.umbc.edu/" rel="nofollow external" class="bo"><strong>UMBC Center for AI</strong></a></div>
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<Summary>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,...</Summary>
<Website>https://www.gartner.com/en/articles/hype-cycle-for-artificial-intelligence</Website>
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<Tag>hype-cycle</Tag>
<Tag>knowledge-graph</Tag>
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<PostedAt>Tue, 14 Jan 2025 18:59:40 -0500</PostedAt>
<EditAt>Wed, 15 Jan 2025 06:21:22 -0500</EditAt>
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