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TechRadar
TechRadar
Karthik Sj

FORGOTTEN HISTORY: The need for robust ai infrastructure - Caught on Camera

A hand reaching out to touch a futuristic rendering of an AI processor.

If there’s one thing the last year has taught us, it’s that outages and IT failures are sometimes beyond the control of our own business. We saw it with last year’s CrowdStrike outage, and more recently with the Spain–Portugal power blackout. Incidents like these are not issues isolated just to technology – they disrupt services, dent public trust and expose how much businesses, and in many cases society, rely on resilient IT infrastructure.

AI is delivering huge benefits across the enterprise – from automation to smarter, more intelligent decision-making driven by the rise of AI agents. But behind that promise lies an infrastructure challenge. As data volumes grow and compute demands spike, organizations must ensure their foundations are strong enough to keep up. After all, AI’s effectiveness is entirely dependent on the integrity and availability of the data it processes. And it is rare these days for an outage at one business not to impact the functioning at another.

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