Finding AI Value - From Promises to Measurable Outcomes

Learn how to transform AI investments from promising concepts into measurable business outcomes in this 24-minute ThinkCast episode featuring Gartner experts Mary Mesaglio and Rita Sallam. Discover why many executives struggle to see tangible value from AI initiatives despite significant investments and explore a strategic framework for managing AI as a balanced portfolio across three key dimensions: return on investment (ROI), return on employee (ROE), and return on the future (ROF). Understand the critical concept of productivity leakage and why productivity gains don't always translate to financial returns. Examine the three strategic AI use case categories - Defend, Extend, and Upend - and learn how each requires different measurement approaches and investment strategies. Explore comprehensive methodologies for measuring AI value beyond simple productivity metrics, including understanding the true total cost of AI implementation. Gain insights into the essential role of AI-ready data infrastructure, governance frameworks, and organizational change management in achieving successful AI outcomes. Master practical approaches for structuring AI investments to balance immediate returns with long-term strategic positioning, and learn how to turn theoretical AI value into measurable business impact across your enterprise.