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AI agents don’t fail because they can’t reason. They fail because they’re grounded in bad data. Outdated policies. Duplicate entities. Missing lineage. The result isn’t just wrong answers — it’s confident hallucinations. In this video, we break down Skill Six: Data Quality, Governance, and Grounding — the foundation that determines whether your AI systems can be trusted, scaled, and deployed in the real world. You’ll learn: Why data quality matters more than model size or prompt tuning How governance, lineage, and access control prevent legal and compliance failures The grounding techniques that stop hallucinations before they reach users Why enterprises that ignore this skill pay the price later — in risk, cost, and lost trust This isn’t theory. These are the controls that separate demos from production systems. If you care about: Building AI systems people actually rely on Reducing risk while increasing long-term value Turning agentic AI into a real competitive advantage This skill is non-negotiable. 📌 Part of the “Nine Essential Skills for the Agentic AI Strategist” series Subscribe to follow the full framework — from orchestration and memory to identity, security, and governance.