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Surveillance in capital markets has evolved in silos. Trade surveillance, voice recording, and electronic communications monitoring have traditionally operated as parallel control functions, each with distinct datasets, workflows and alerting logic. Yet recent enforcement actions on both sides of the Atlantic – ranging from off-channel communications failures to market manipulation cases – demonstrate a consistent...
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From Pilots to Production: Capital Markets Firms Confront the Real Challenge of Scaling AI in Trading Workflows
Across capital markets, AI pilots are proliferating – on trading desks, in compliance functions, within data teams. The proof-of-concept phase has, for many firms, delivered enough evidence of value to settle the strategic debate. What remains stubbornly unresolved is the operational question: how to translate a growing patchwork of departmental experiments into scalable, production-grade capability....
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Data Management Summit New York City
Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.
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AI in Capital Markets Handbook 2026
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...



