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Scalability is identified as a critical technical challenge in the development of knowledge graphs for artificial intelligence systems [1] and serves as a key performance metric for enterprises implementing AI solutions [2].

Facts (2)

Sources
The Year of Neuro-Symbolic AI: How 2026 Makes Machines Actually ... cogentinfo.com Cogent Infotech 1 fact
claimEnterprises are shifting from experimental AI success metrics to performance metrics based on operational efficiency, scalability, and sustained business value.
(PDF) THE ROLE OF KNOWLEDGE GRAPHS IN EXPLAINABLE AI researchgate.net ResearchGate 1 fact
claimThe authors of the paper 'THE ROLE OF KNOWLEDGE GRAPHS IN EXPLAINABLE AI' identify scalability, dynamic updates, and bias mitigation as key challenges in constructing and maintaining knowledge graphs for AI systems.