Machine Learning in Power BI? Not Approved (Here’s Why)

Microsoft Fabric makes it incredibly easy to enrich Power BI reports with machine learning models.

And that’s exactly the problem.

In this video, I break down why embedding machine learning outputs directly into reporting layers — without clear separation, governance, and feedback controls — can introduce circular logic, silent feedback loops, and decision contamination.

https://blog.fabric.microsoft.com/en-us/blog/enrich-power-bi-reports-with-machine-learning-in-microsoft-fabric/
When predictions influence decisions…
And decisions influence the data…
And that data retrains the model…

You no longer have analytics.
You have self-reinforcing bias.

This pattern lacks:

Explicit feedback boundaries

Model retraining governance

Clear data lineage controls

Separation between inference and training datasets

Auditable decision capture

Machine learning in Fabric is powerful.

But power without architectural guardrails?

Not approved.

If you're building ML-driven reporting in Fabric, you need to do it intentionally — not just because the UI makes it easy.

Start your journey towards data godhood by becoming a member:
https://www.youtube.com/channel/UCUNTlJDKLzxxGo0tmKLbdOQ/join

Видео Machine Learning in Power BI? Not Approved (Here’s Why) канала KratosBI