Why Agentic AI in Analytics Fails Without an Ontology – hackernoon.com

The article examines why agentic AI systems in analytics require ontological frameworks to function effectively, suggesting that without proper knowledge structure and semantic organization, these systems struggle to deliver reliable results. The piece argues that ontologies provide the necessary foundation for AI agents to understand data relationships and context, enabling more accurate analysis and decision-making in analytical applications.

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