As AI is integrated into critical processes, data and model governance becomes a strategic priority. This panel discussion will address how to evolve from traditional governance frameworks toward more dynamic approaches that enable us to “tame” AI: ensuring traceability, compliance, and alignment with business objectives, without hindering innovation. We will discuss practices, tools, and culture for keeping AI under control in complex environments.