Strategic insights, framing and perspectives on artificial intelligence. For leaders and decision-makers who need clarity.
Framing, explanations and perspectives on artificial intelligence. Practical and relevant.
Many AI initiatives don't suffer from missing technology, but from missing framing. Unclear language creates uncertainty. Leadership teams need orientation. Not more tools.
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Local large language models run without cloud connectivity on your own hardware. What that means, what advantages it offers. And which organisations local AI is a realistic entry point for.
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Not every AI trend matters for every mid-market company. An honest prioritisation: what counts now, what should be watched. And what can wait.
Read article →Many AI projects don't fail because of the technology. They fail because of missing framing, unclear responsibility, and a language decision-makers can't act on.
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Technologies change quickly. Organisations learn slowly. What remains are questions about meaning, language and a safe frame. A personal reflection on patterns that repeat.
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Retrieval-Augmented Generation connects AI models to your own organisational knowledge. A clear explanation: what RAG is, how it works, and why it matters for internal knowledge use.
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Data protection, regulation and digital sovereignty are moving to centre stage. Why European organisations are reassessing local and hybrid AI architectures. And what that means strategically.
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Up to 70% of CRM implementations miss their goals. Seven core challenges, with problems, solutions and the supporting research from practice.
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In my LinkedIn newsletter, I make sense of which AI developments are actually becoming relevant. Compact, practical and without the hype, so you know what to focus on next.