The rapid increase in data generation poses significant challenges for traditional data governance, leading to compliance risks and inefficiencies. AI-powered data governance platforms offer a solution by providing automated, scalable governance that minimizes manual intervention and enhances decision-making. These platforms consist of core modules such as catalog and metadata management, data lineage, data quality monitoring, access control, policy engines, and audit reporting, which collectively ensure data integrity and reduce risk. AI enhances governance by enabling real-time, autonomous policy enforcement, which improves speed, accuracy, and compliance while reducing costs. Selecting an effective AI data governance platform involves evaluating its coverage, ML accuracy, actionability, explainability, security, and total cost of ownership. Implementing AI governance involves a phased approach to connect data sources, enforce policies, and scale operations, ultimately transforming governance into a strategic advantage. Acceldata exemplifies AI-driven data governance by integrating compliance and data quality management, leveraging active metadata and machine learning to maintain accuracy and compliance across enterprises.