Stream 2 | The Carnegie Hall
Boards are accelerating AI adoption despite shrinking budgets, heightened cyber risks, stricter regulations, and growing concerns around privacy and ethics. Success depends on well-governed data - structured and unstructured - yet organisations face a maze of frameworks and standards such as DMBOK, DCAM, NAA Standards, ARMA, NIST to name a few. Too often, this results in siloed teams competing for limited resources. Our session introduces a novel operating model that harmonises these frameworks through innovative technology, consolidating functions to reduce complexity, strengthen governance, and control costs. Our session will be Interactive and educational, and we invite participants to explore practical strategies for sustainable, enterprise-wide AI governance.