We've been reflecting on the future, looking at the natural evolution of our industry and for years, the data industry has evolved toward scale. More storage, processing, retention - more capability and for good reason, data creates enormous value. But as AI accelerates and data centres expand underground, underwater and closer to renewable energy sources, it feels like the conversation is starting to shift. Maybe the next evolution of data strategy is not just about building

One of the best parts of working in data is when you start seeing information become more useful for people out on the frontline delivering services every day. Not another dashboard. Not another spreadsheet. Just the right information, at the right time, in a way that's easier to access and understand. We've been doing some really interesting work lately building simpler mobile-first experiences using Power Apps, SharePoint, Power Automate and Azure-based data platforms to he

Let’s talk automation, metadata and AI in operations. Data now moves through organisations like an unseen current and AI is starting to shape it as it goes - tagging it, cleaning it, organising it, explaining it. The pipes are getting smarter. As DataOps and MLOps blend into more automated loops, the focus is shifting. It’s no longer just about control or access. It’s about context - where data comes from, why it changes and what it means in practice. The mechanics are speedi

Growing up in England, early November meant Bonfire Night, fireworks, sparklers, cold air and big bonfires. These days in Australia, I miss the fireworks… but not the cold. What fascinates me is how fireworks have evolved. Many shows are now fully automated - synchronised by software or replaced by drone swarms painting light in the sky. Precision, beauty and data in motion. It’s a perfect metaphor for analytics and AI - when everything connects, the result isn’t chaos, it’s