Before enterprises can run with agentic AI, they need to learn to walk with their data

siliconangle.com May 20, 2026

Before enterprises can run with agentic AI, they need to learn to walk with their data

Curated by Shubham · TechCapsules · May 20, 2026

AI-summarised brief · reviewed before publication

Enterprises must improve their data management before implementing agentic AI, as poor data quality blocks multi-agent orchestration. Legacy systems lack interpretive logic, and undocumented knowledge must be surfaced and codified. Patricia B. Moore, AI field chief technology officer at Boomi, emphasizes trust and context are crucial for agentic solutions to deliver value, requiring connected data and automated systems to achieve intelligence.

💡 Why It Matters

· Undocumented knowledge trapped in silos hinders agents from making informed decisions, and reconciling definitions is essential for effective multi-agent orchestration.

AI Capsules

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