In the AI era, data is both the fuel and the fault line. As models become more advanced and globally interconnected, questions around who owns data, where it’s stored, and how it’s used have never been more important.
Artificial Intelligence has moved beyond the headlines. What once felt like the promise of the future is now powering decisions, automating processes, and reshaping how businesses compete. Yet for many organisations, the conversation still feels theoretical; a blur of jargon and innovation theatre rather than tangible impact.
For many organisations, the race to adopt AI has been driven by urgency rather than strategy. But the truth is, scale matters more than speed.