In the current period of rapid-fire digital metamorphosis, AI is no longer just a buzzword for the public sector—it is a core pillar of executive elaboration. Still, throughout my times of consulting with colorful government agencies and public institutions, I've noticed a recreating incongruity: "We're drowning in data, but starving for usable information." Enforcing AI in the public sector is unnaturally different from the private sector. While a private company might prioritize profit and speed, public institutions must balance invention with unwavering public trust, legal compliance, and ethical responsibility. Today, I want to partake my perceptivity and a strategic roadmap for erecting a robust data governance frame that actually works in the complex terrain of the public sector. Table of Contents 1. The Reality Check: Why Governance is the Backbone of AI 2. The Data Lifecycle Strategy: A Step-by-Step Approach 3. Sequestration-Conserving Technologies: Balancing ...