AI investment is accelerating across every function, yet measurable business impact remains inconsistent. Many organizations are struggling to move beyond pilots, with fragmented use cases and unclear ownership slowing progress.
This session explores why AI initiatives fail to scale, where value is being lost between experimentation and execution, and how leaders are redefining success. The discussion will focus on aligning AI with business outcomes, overcoming organizational friction, and building repeatable, enterprise-wide capabilities.