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AI Agents Are Failing and It's Almost Never the Model's Fault | Alberto Pan, Denodo, Sonic AI
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AI Agents Are Failing and It's Almost Never the Model's Fault | Alberto Pan, Denodo
Eye On A.I.
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Jul 2, 2026
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41:35
Interview
AI Agents Are Failing and It's Almost Never the Model's Fault | Alberto Pan, Denodo
Craig
(Host)
•
Craig
(Host)
•
Alberto Pan
(Chief Technology Officer, Denodo)
•
Alberto Pan
(Chief Technology Officer and Co-founder, Denodo)
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Executive Summary
Enterprise adoption of agentic AI is slow due to a 'trust gap' rooted in data problems, not deficiencies in AI models.
Key data challenges include a lack of real-time data, the need to access hundreds of distributed sources, and inconsistent governance, which lead to AI hallucinations and errors.
Denodo's data virtualization and semantic layer technology addresses these issues by providing a unified, real-time access and governance layer over disparate data sources without requiring physical consolidation.
Solving these foundational data architecture problems is presented as the critical step for enterprises to successfully deploy trustworthy and effective agentic AI in operational workflows.
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