Thailand's Big Data Institute Director outlines a practical framework for national AI resilience: breaking down data silos across government agencies without centralizing databases. The approach emphasizes high-quality, interconnected datasets as the foundation before AI deployment, distinguishing between three AI types (Analytic, Generative, and Agentic) and their governance implications. Key insight: data quality directly affects AI output—garbage in equals garbage out.