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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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10 Leading Providers of Cloud Migration, Scalability and Analytics Innovation
The practical evolution of financial technology has shifted from isolated on-premises deployments to highly distributed cloud architectures. This transition is not a sudden revolutionary overhaul but an incremental migration aimed at converting fixed infrastructure costs into variable operational expenses while unlocking computational elasticity. To execute this shift without risking operational downtime or compliance breaches, institutional...
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AI in Data Management Summit New York City
Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!
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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...


