Adenza (formerly AxiomSL)

Recorded Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for data that’s fed into artificial intelligence models. If the data isn’t clean, accurate and complete, then...

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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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Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

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...