Curious about …
Emerging technology, security, risks, philosophy, … STUFF!
And trying to use plain language wherever I can
“Making the simple complicated is commonplace; making the complicated simple, awesomely simple, that’s creativity.” ~ Charles Mingus
The views and opinions expressed on this site and in the blog posts are my own
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Five Industries Where Causal AI Is Already Changing Decisions
Causal AI is moving from theory to production. Across finance, healthcare, supply chain, energy, and marketing, organisations are using cause-and-effect modelling to make better decisions – with measurable results. We take a practical tour of five sectors where this technology is already delivering real value.
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Correlation Got Us Here, But Causation Gets Us There!
A hotel chain spent £4 million upgrading breakfasts after data showed high breakfast ratings correlated with guest loyalty. Rebooking rates barely moved. The real driver was management quality – breakfast was just a symptom. Most organisations face this same trap. Knowing the difference changes everything.
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Your AI Can Predict. But Can It Explain Why?
Today’s, Generative, AI can predict with impressive accuracy, but 74% of the time its stated reasoning doesn’t reflect how it actually reached its conclusion. As organisations push AI into higher-stakes decisions, that explanation gap is becoming a board-level governance liability. Causal AI offers a way to close it.
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Your Employees Are Already Using AI
Most companies are spending billions on AI programmes that aren’t delivering. Meanwhile, their own employees have quietly found AI tools that work and are using them without permission. The smartest organisations aren’t trying to stop this. They’re learning from it.
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Is Enterprise AI Actually Working?
While enterprise AI spending is skyrocketing, 95% of pilots fail to deliver measurable financial returns. The issue isn’t the technology, it’s organisational strategy. Success belongs to the “5%” who prioritize back-office automation, favour specialist vendors over in-house builds, and treat AI adoption as a change management challenge rather than a technical one.
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Your Encryption Has an Expiry Date
Quantum computers will eventually break the public-key cryptography protecting your systems. Adversaries are already harvesting encrypted data, waiting to decrypt it later. With regulatory deadlines starting in 2027, organisations need to begin migrating to quantum-resistant encryption now. Here’s what you need to know – and do.
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