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Field notes on AI workflows, BI architecture, analytics modernisation, and MCT-led training delivery. Written from practice, not from a content calendar.
Featured article
Most teams do not have an agent problem. They have a control problem. The first time an autonomous workflow looks impressive is usually the least important moment in the whole r...
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For leaders unsure whether the real blockage is data quality, workflow design, tooling, adoption, or governance — a framework for finding out.
A practical view of semantic models, dashboards, and why BI modernization usually fails in the model before it fails in the visual layer.
A practical view of using Power BI and Microsoft Fabric as one analytics system instead of two separate conversations.
What AI-assisted development is good at, where it still needs discipline, and why faster drafting is not the same thing as better engineering.
How technical training works when the goal is capability change rather than content coverage.
What data lake migration work actually exposes, and why modernization is usually more about clarification than relocation.
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The same topics show up in diagnostics, workshops, architecture reviews, BI advisory, AI workflow design, and MCT-led training for teams that want practical instruction rather than advisory reading.