AI-Ready Data Governance: Trust, Quality, and Compliance in Large-Scale Financial Institutions

Large-scale financial institutions face a widening gap between the pace of AI adoption and the maturity of the data foundations that AI systems depend on. Legacy governance models — built for static reporting and periodic audits — struggle to keep pace with real-time analytics, machine learning pipelines, and the regulatory scrutiny that accompanies them. This keynote presents the AI-Ready Data Governance Framework, an enterprise-scale approach designed to close that gap by embedding data quality, lineage, and controls directly into the data lifecycle rather than treating governance as a downstream checkpoint.