Most data loss happens at the edges, not the core. Purview's strength is layering endpoint, browser and network controls so there's no gap for sensitive data to slip through. Swipe through for the three layers that work together 👇
The Power BI Dataflows Gen1 to Gen2 upgrade wizard is finally here. Automates connection mapping, query migration, and handles incremental refresh. Still in preview, but removes the biggest friction from your migration path.
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OneLake URLs just gave Power BI developers native file referencing. No custom connectors, no base64 encoding—just direct paths to images, JSON, and config files stored in Fabric. Chris Webb's walkthrough shows how simple it actually is.
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Small language models are faster, cheaper, and often better at focused tasks than the big ones. The trick isn't replacing large models—it's starting with the smallest one that works. Most teams are overpaying without realising it.
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Most organisations use AI as a research assistant. But the real shift is already here: AI that doesn't just help you decide—it decides and executes. Three modes are running in parallel, and your infrastructure needs to support all of them.
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Your agent isn't failing because the model's not smart enough. It's failing because it doesn't know what it needs to know. The real question: are you building retrieval pipelines or governed memory systems with clear accountability?
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RAG hallucinations don't come from bad prompts. They come from messy context. Query transformation, smart retrieval, reranking, and curation—boring plumbing that stops failures upstream before the LLM ever sees them.
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Data platforms are being rebranded as agentic control planes. Sounds clever until you realise most orgs haven't even unified customer identity across systems yet. The governance layer needs to be real, not aspirational, before agents can do actual w…
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