[Listen to "The Missing Layer for Trusted AI: Why Metrics Need Meaning" on Spreaker.](https://www.spreaker.com/episode/the-missing-layer-for-trusted-ai-why-metrics-need-meaning--75321505)

In this episode of AI Data Bites (Powered by Denodo), host Neha Gurudatt sits down with Kevin Bohan, Director of Product Marketing at Denodo, to explore how inconsistent metrics can undermine trust in analytics and AI - and how governed Metric Views can help.

**Topics Covered:**

- Why different teams can get different answers from the same KPI
- How metrics capture business logic - not just calculations
- Why governed metrics matter for AI accuracy and trust
- How Metric Views create reusable, consistent business context

**Why This Episode Matters**

As AI takes on a bigger role in business decision-making, trusted data needs trusted business meaning. Metric Views help provide the consistent context analytics and AI systems need to deliver reliable answers.

🎧 Join us for this episode of [**AI Data Bites (Powered by Denodo)**](https://www.denodo.com/en/podcasts) to unlock the power of model neutrality.



 

 

 

  

 ![The Missing Layer for Trusted AI: Why Metrics Need Meaning](/sites/default/files/asset-thumbnail-details-pages/AI-DataBites-Logo-02_7_0.png) [Download](/system/files/document-attachments/Ep9-Metric%20Views%20Building%20a%20Trusted%20Foundation%20for%20Analytics%20and%20AI.mp3) 

 

 

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