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
...In recent years, we’ve seen a rise in the frequency and intensity of so-called “black swan” events - rare, unpredictable disruptions with far-reaching consequences. Think global pandemics, climate crises, or geopolitical conflicts, which shake global industries and markets.
Enterprises today face disruption at every level - from global “black swan” events to smaller, operational shocks we call “black cygnets” - localised events that may not make headlines, but can have significant business impact if organisations lack real-time visibility and decision-making capability. This article explores why real-time situational awareness, AI at the edge, and distributed architectures are becoming critical
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