In the era of AI and machine learning, data governance, lineage tracking, and trust mechanisms are critical for building responsible, transparent, and reliable data systems. This session explores how organizations can implement robust governance frameworks, establish clear data lineage, and build trust throughout their AI-ready data infrastructure. We'll discuss best practices for data quality assurance, compliance, metadata management, and how to ensure accountability in AI-driven decision making.