All articles
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July 2, 2026 · Insights
“You’re right to be afraid”
What a metalworking entrepreneur near Munich understood about AI that most consultants ignore.
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May 13, 2026 · Insights
The business model behind your sovereignty – and why it’s cancellable
What the Google and Deutsche Telekom split reveals about European IT strategy.
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May 13, 2026 · Insights
Sovereignty is an architectural decision, not a product
What Gartner’s cloud verdict really means for industrial decision-makers.
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April 15, 2026 · Insights
IT has surrendered: why 56 % of IT leaders can’t explain GenAI, and what that means for governance
Three paradigm shifts hit the IT organisation in under a decade. Nobody updated the governance model for any of them.
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March 20, 2026 · Insights
Why 86 % of all AI projects fail on data, before they even start
Gartner put a number on it in 2025. Anyone who has run an ERP rollout recognised it immediately.
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March 20, 2026 · Insights
The 78 % trap: why GenAI fails in industry, and what the successful 22 % do differently
Two years of investment, hundreds of pilots, and three out of four companies see no return. The reason is not the technology.
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March 13, 2026 · Insights
56 % of CEOs see no ROI from AI, and they’re seriously surprised?
The costs that appear in no business case, translated into the language of the factory floor.
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March 13, 2026 · Insights
5 mistakes with AI agents, and why manufacturing needs different answers than the startup world
The failure modes are the same everywhere. The consequences are not, and neither are the fixes.
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March 6, 2026 · Insights
“Will our BOMs end up in ChatGPT?” Why AI anxiety in manufacturing is the real risk
The concern is legitimate. Doing nothing about it is not.
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March 6, 2026 · Insights
When the data can’t leave, bring the AI in
Why companies that have lived with regulation for decades are further along with AI governance than they think.
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February 26, 2026 · Insights
Agentic AI in the supply chain: why 95 % accuracy is a risk, not a benchmark
In manufacturing, one part in twenty going wrong stops the line. Language models are celebrated for the same number.