The hardware crunch is here: what it means for AI and data operations
AI and data teams are heading into a period where hardware scarcity, longer lead times, and rising costs are no longer edge cases but operating conditions.
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Why data minimisation matters in the age of AI-powered cyber attacks
AI is changing the risk profile of cybersecurity, turning data minimisation from a privacy nicety into a frontline defence. The less data you hold, the less there is for AI‑enabled attackers to exploit.
The coming AI jobs-pocalypse
The story we tell ourselves about technology and jobs has almost always been wrong, at least in the short term.
Why AI needs a Proof-of-Concept to Production pipeline
Organisations that treat AI as a series of disconnected experiments will end up with expensive demos, shadow IT and AI, and mounting risk rather than real business value.
AI has changed the cyber threat landscape
Artificial intelligence is now a first‑order cyber risk driver, as well as a productivity tool. AI‑accelerated threats, fragile model “harnesses,” and concentrated dependence on a few vendors demand urgent uplift in governance, resilience, and incident response.
The hype cycle and AI: why we need to stay grounded
Generative AI has hit the peak of inflated expectations. The Gartner Hype Cycle reminds us we've been here before - and shows why governance, not hype, and doing the work still matters.
AI adoption is a people problem, not a technology problem
AI isn’t magic. It’s change management (and people). Ignore that at your peril.