Why do 95% of AI projects fail to deliver value despite achieving technical accuracy? In this eye-opening episode, we explore the critical dimensions of AI success that most organizations overlook.

We dive into:
- Why technical performance is just one piece of the puzzle
- The costly mistake one financial firm made with their technically perfect AI
- How to measure user experience and business impact alongside technical metrics
- Real-world examples from healthcare showing the life-saving potential of proper implementation
- How "value chain analysis" provides a more comprehensive view of AI's business impact
- Emerging "metric frameworks as a service" that are democratizing sophisticated AI evaluation tools
- The evolution of ethical measurement standards in AI

Discover why measuring the right things is crucial to your AI initiatives and how a comprehensive framework can help you build systems that deliver real-world value, not just technical brilliance.