Building future-proof data platforms
When designing a data platform, it’s tempting to chase the ‘best’ tools. But the real risk is building something you can’t easily change.
The best platforms aren’t rigid or over-gold-plated. They’re designed to evolve. They use DevOps principles to automate and scale, FinOps thinking to manage costs and defensive design to stop small issues becoming big ones.
If you’re after real-world advice on building a platform that lasts, our practical guide is worth a look.
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Laying the groundwork for AI
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Unlock your AI potential: Discover your archetype, master the 3 pillars of data maturity, and learn from real-world transformations in our latest whitepaper, Laying the Groundwork for AI.
AI is an accelerator, not a shortcut, when tackling legacy systems
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AI is a powerful accelerator for legacy system modernisation, speeding up discovery and redevelopment, but success still depends on rigorous engineering discipline and a thoughtful approach to governance.
When AI gets in the way of the story
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AI is increasingly good at helping researchers analyse data. That part is no longer controversial. What’s less talked about is what happens after the analysis – when insights need to be shaped into a story that people can actually understand and act on.
