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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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Why Agentic AI Is Shifting Attention Back to the Data Layer

The rapid improvement of large language models is changing the way financial institutions approach agentic AI. Model capability remains important, alongside the practical challenges of connecting AI to the right data, providing sufficient context, embedding agents into investment workflows and controlling what they can access and do. These issues featured prominently during a panel discussion...

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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.

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...