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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...
Holistic surveillance is moving beyond data integration towards an operating model that can surface cross-channel evidence, assign escalation ownership, govern approved channels, organise analysts around risk and keep AI-supported triage accountable to experienced human review. That was the central message of A-Team Insight’s recent webinar, Holistic Conduct & Surveillance: Unifying Trade, Voice, and eComms Data...
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!
AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...