The Governance of Intelligence: Scaling Trusted Data through ML, AI, and LLMs for Predictive Health Outcomes

Abstract

As we move toward a “Smarter Tomorrow,” the bottleneck for AI innovation is no longer the availability of algorithms, but the integrity and governance of the data that fuels them. Traditional, manual data stewardship is increasingly insufficient to handle the velocity of modern Big Data, particularly within the complex regulatory landscape of Health Informatics. This presentation explores a transformative paradigm shift: the transition from reactive, manual data management to autonomous, AI-driven data governance.