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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

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.

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Scaling AI responsibly with Small Language Models (SLMs)

Small Language Models (SLMs) can offer a faster, cheaper and more sustainable route to operational AI. Find out when to use them.

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Why use cases should be the anchor of your AI strategy

If AI is the answer, what’s the question?
Too often, organisations lead with the tech and forget the use case.