
Confidence Is Not Competence: Why AI Needs Critical Thinking
In business, confidence can often be mistaken for competence.

Why Microsoft Fabric Is the Ideal Platform for AI-Ready Semantic Modelling
Microsoft Fabric doesn’t just support semantic modelling—it elevates it.

Why Your AI Strategy Needs Robust Semantic Modelling
Have you ever had a stakeholder ask why you can't just throw an LLM at your data? I have—and it misses a crucial point. AI might be powerful, but without business context, it’s just guessing. That’s where semantic modelling comes in. In this article, I unpack why semantic modelling is essential for trustworthy, scalable AI — and how it sets the foundation for real insight.

Why AI-Optimized BI Needs a New Data Architecture
The rise of Artificial Intelligence (AI) in Business Intelligence (BI) is changing how companies analyze data and make decisions. But there’s a problem—most BI systems weren’t built for AI.