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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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AI Has Empowered Data Users to Guide Tech Innovation: Advisory QualityAI
The traditional technology divide between an organisation’s business leaders and its engineers has been flipped in the artificial intelligence age, with end users and data consumers calling the shots in proposed pilots and making tougher demands of their software developers and data managers. The role reversal is such that AI has become a business model...
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Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.
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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...


