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Recorded Webinar: The Next Compliance Frontier: Monitoring GenAI and Unstructured Comms Data

Generative AI is rapidly transforming how employees create, share, and interpret information. From internal copilots drafting client messages to AI tools summarising trading conversations or generating research notes, large language models are increasingly embedded in daily workflows across capital markets. At the same time, the volume of unstructured communications data – voice recordings, chat messages,...

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12 Leading Providers of Semantic Layers in Modern Capital Markets Data Stacks

Reconciling fragmented financial data across disparate trading systems, risk engines and regulatory reporting pipelines is a challenge that frequently results in conflicting analytical outputs, costly reconciliation cycles, and elevated operational risk under frameworks like BCBS 239 and FRTB. The enterprise response has been a move away from continuous database consolidations towards centralised semantic layers. Positioned...

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Data Management Summit, New York City

Now in its 17th year, Data Management Summit (DMS) NYC returns in September 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...