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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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Where Generative AI Belongs in the Institutional Data Stack – and Where It Doesn’t

Two and a half years into the generative AI cycle, the working consensus among practitioners deploying AI against unstructured content in capital markets has quietly settled into a layered architecture. Generative models sit at the desktop, research and operational-efficiency layer. The feed, signal and modelling layer that drives systematic alpha still runs on the older,...

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AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

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...