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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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Informatica Data Capabilities Drive Salesforce’s Agentic Platform
Informatica’s integration into the Salesforce architecture has proceeded at pace since it was acquired by the customer relationship management software platform last year. The extent of that transformation is being demonstrated in a worldwide Salesforce touring showcase. In the glitzy shows, the role of the artificial intelligence-powered data management specialist’s capabilities within Agentforce – Salesforce’s...
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AI in Data Management Summit New York City
Now in its second year, the AI in Data Management Summit NYC explores what changes when AI becomes part of the data management operating model.
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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...


