Architecture

AI, Analytics Industry, Architecture

Design for Change. Don’t Build for One Model.

“What LLM should we standardise on?” It’s one of the first questions organisations ask as they begin adopting AI; it’s also, I think, becoming the wrong question. Over the past few years, we’ve become accustomed to comparing models through benchmarks, leaderboards and feature announcements. Every few months there’s another “best” model. Better reasoning. Larger context

AI, Analytics Industry, Architecture, Azure, Build, Data Science, Uncategorized

Beyond the Sniff Test: AI, Human Judgement and the Future of Expertise

A few months ago, I wrote about applying the Sniff Test to AI-generated content. The premise was simple. As Generative AI becomes increasingly capable, we should be diligent in maintaining a degree of healthy scepticism: The article resonated because most experienced professionals have encountered the same phenomenon. AI can produce highly persuasive answers, confidently presented

AI, Analytics Industry, Architecture, Azure, Build, Business Data Vault, Business Intelligence, Change, Data, Data Lake, Data Lakehouse, Data Vault, Flexibility, Raw Data Vault

Data Flexibility

Many data platforms fail for the same reason. They were designed to answer yesterday’s questions. Business priorities change. Regulations evolve. Organisations acquire new products and services. Customer expectations shift. More recently, Generative AI has introduced entirely new ways of consuming and analysing information. Yet many organisations continue to build data platforms that assume stability. The

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