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Financial institutions are evolving their data platform modernisation programmes, moving beyond data-for-cloud capabilities and increasingly towards artificial intelligence-readiness. This has shifted the data management focus in the direction of data unification, real-time delivery and automated governance. The drivers of this transition are improved operational efficiency as manual processes are replaced by faster, more accurate automated...
Recent enforcement actions point to sharpened regulatory expectations for evidence of controls capable of preventing, detecting, escalating, and correcting risk. Where firms are falling short, enforcement is landing on design, governance, and oversight failures. Across trading surveillance, client onboarding and valuation governance, regulators are drawing the same distinction between having controls on paper and having...
Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise 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...