Predictive models are everywhere, but not all of them are useful. In this episode, we talk about the biggest reasons models break down, like bad data, overfitting, misaligned KPIs, and insights that just don’t land. We get into what went wrong, what to watch for, and how companies can keep things on track with real ownership, regular audits, and smart decisions. You’ll hear why Amazon’s data said Prime would fail and why Jeff Bezos did it anyway. Whether you're working with MES or SAP, this one is about getting value from your models without getting buried in dashboards.

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