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Recorded Webinar: Building a Semantic Layer for Your Enterprise Data Estate

The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics and value without having to use precise technical terminology. Data engineers achieve this through semantic layers,...

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Robust Data Management Still the Silver Bullet for AI Challenges

As the maturity of artificial intelligence applications evolves, financial institutions are finding that the solution to the challenges associated with the technology of data quality and trust can be found in data management. Guaranteeing good outcomes from their models requires that organisations feed them good data, and the only way to ensure that is through...

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Data Management Summit London

Now in its 17th year, Data Management Summit (DMS) London returns In April 2027, to explore how to use data and AI to drive measurable business outcomes reliably, repeatedly and at scale.

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...