As organisations move more workloads to Microsoft Fabric, predictable cost becomes a governance problem as much as an engineering one. Fabric’s unified capacity model (Capacity Units / CUs, purchased as…
AI-Ready Data Governance in Microsoft Fabric with Purview
AI succeeds or fails on the trustworthiness of its data. In Microsoft Fabric, governance isn’t a layer added at the end—it’s the connective tissue that binds ingestion, transformation, analytics, and…
How Medallion Architecture Prepares Your Data for AI Workflows
Most AI initiatives don’t stall on models—they stall on data. The gap isn’t “which LLM?” or “which AutoML?” so much as “can the organization deliver trustworthy, governed, and semantically consistent…
How to Build an AI-Ready Data Foundation
The rise of large language models (LLMs) has given some businesses the impression that training data is no longer a critical factor. After all, these models come pretrained with vast…
Strategic Center of Excellence For
Whether it’s fraud detection in banking, predictive maintenance in manufacturing, or personalized recommendations in e-commerce, real-time data ingestion plays a…
The rise of large language models (LLMs) has given some businesses the impression that training data is no longer a…
Data is often hailed as the new oil, the lifeblood of modern enterprises, and the key to unlocking competitive advantage….
In early 2024, Microsoft announced the consolidation of purchase options and the retirement of Power BI Premium per capacity SKUs…
AI is transforming the processes across retail from logistics to Customer Experience. There are plenty of articles covering all these…
Introduction As organizations transition into more data-centric operations, they face growing complexity around integrating, governing, and extracting insights from vast…
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