AI Data Lifecycle Governance

Data is the foundation of every AI system. From collection and preparation to storage, usage, retention, and disposal, organizations must govern data throughout its entire lifecycle to ensure quality, compliance, accountability, and trustworthiness. In this lesson, learners will explore the AI data lifecycle, key governance activities at each stage, stakeholder responsibilities, risk considerations, and the controls used to manage data effectively. Understanding data lifecycle governance enables organizations to improve AI reliability, support regulatory compliance, reduce operational risk, and establish strong foundations for responsible AI deployment.