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AI adoption in business: real examples, risks and lessons from UK leaders
AI: The good, the bad, and the ugly
Over the last six months, I have had the privilege of sitting down - virtually and in person - with leaders from across UK industries: energy, utilities, construction, law, manufacturing, media, education, and beyond. Not to sell anything. Not to run a workshop. Just to have an honest conversation about where they are with AI adoption and implementation.
What I heard was revealing. Not because everyone was doing extraordinary things with AI (some were, some weren't), but because the honesty in those conversations cut through the noise that dominates most AI discourse
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When software moves fast but hardware can’t: Why modularity matters more than ever
At our recent Innovation Breakfast, one theme cut across almost every industry represented in the room: the widening gap between how fast software can evolve and how slowly hardware is allowed to change.
Whether people worked in engineering, research, manufacturing, infrastructure or advanced tech, the same tension surfaced again and again. It became one of the most insightful threads of the morning, and it’s a topic that deserves its own spotlight.
The uncomfortable truth: software can sprint, hardware moves in decades
Modern software teams can prototype, iterate and release faster than ever. But when the product relies on physical systems,
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