Ask Copilot, or any other AI chatbot how many service requests are overdue across the municipality and you’ll have an answer inside two seconds. Formatted, split by ward, entirely plausible….
How to Prevent Fabric Cost Spikes and Optimise TCO
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
Introduction Managing capacity in Microsoft Fabric goes beyond provisioning the right SKU — it’s about understanding how that capacity behaves…
As Microsoft Fabric matures into a production-grade analytics platform, the concept of capacity becomes central to how organizations plan, operate,…
AI succeeds or fails on the trustworthiness of its data. In Microsoft Fabric, governance isn’t a layer added at the…
The promise of zero-ETL is tantalizing: connect your live systems to Microsoft Fabric’s OneLake, and downstream analytics and models just…
“Zero-ETL” isn’t a promise that transformation disappears; it’s a shift in where the heavy lifting happens. Instead of building and…
Most AI initiatives don’t stall on models—they stall on data. The gap isn’t “which LLM?” or “which AutoML?” so much…
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