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WEBINAR
Recorded Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research
For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...
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Selling the Proof, Not the Data
For most of the past decade, a vendor specialising in natural-language processing (NLP) could sell a hedge fund something it could not easily make for itself. Sentiment scored from news, filings and earnings calls, provided as a clean feed, mapped to individual stocks and timestamped for point-in-time use. The work of pulling that signal out...
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Data Management Summit New York City
Now in its 16th year, Data Management Summit (DMS) NYC returns on September 17th 2026, to explore how to use data and AI to drive measurable business outcomes – reliably, repeatedly and at scale.
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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...



