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Power BI already contains much of the business meaning AI needs. The hard part is deciding which meaning deserves to be reused.
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Power BI already contains much of the business meaning AI needs. The hard part is deciding which meaning deserves to be reused.
Read the pieceFabric pricing guides focus on SKUs and thresholds, but the real cost emerges after deployment. In Microsoft Fabric, shared capacity means every refresh, model, and pipeline draws from one pool—so ongoing spend is driven less by licensing choice and more by architecture and governance.
Read the pieceSemantic model sprawl isn't caused by having too many Power BI models. It's caused by having too many competing definitions of the business. Fix the numbers everyone trusts, and the model count largely takes care of itself.
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