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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...
Two and a half years into the generative AI cycle, the working consensus among practitioners deploying AI against unstructured content in capital markets has quietly settled into a layered architecture. Generative models sit at the desktop, research and operational-efficiency layer. The feed, signal and modelling layer that drives systematic alpha still runs on the older,...
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.
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...