NICE

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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Governance to be Scrutinised at Inaugural AI in Data Management Summit NYC

Ensuring artificial intelligence deployments are securely governed without stymieing their potential is a delicate balancing act. It requires carefully drawn policies, frameworks and processes. As deployment of the technology expands and its capabilities and complexity multiply, the governance structure must adapt and evolve. How to get this right is among the most important topics swirling...

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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!

Alternative Data in Capital Markets Handbook 2026

Alternative data adoption in capital markets has moved into a more disciplined phase. Simply possessing a dataset is no longer a differentiator – the priority now is how data is sourced, synthesised and deployed, and how quickly granular, disaggregated signals can be turned into validated, decision-ready insight. The 2026 edition of the Alternative Data in...