The Purpose BluePrint
In this episode of The Purpose Blueprint, I’m joined by Bill Schmarzo, known for his work on value engineering, data science, and helping organizations move from AI experimentation to real business impact. Together, we explore a critical question many leaders are facing right now: Why does so much AI investment fail to translate into sustained value? This conversation goes beyond tools and trends. We talk about: * Why AI often accelerates bad decisions instead of improving them * The difference between analytics, AI, and value creation * Designing feedback loops that connect data, decisions, and outcomes * Why “use cases” fail, and what to design instead * How leaders can think systemically about adoption, not just deployment This episode is for leaders, operators, and technologists who sense that the real challenge with AI isn’t capability — it’s coherence. If you’re serious about turning AI into a strategic asset, this conversation will reframe how you think about value, design, and decision-making.
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