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Financial institutions are under mounting pressure to rethink how they source, manage and distribute market data. Rising data volumes, multi-cloud adoption and the operational demands of regulations such as DORA are exposing the limits of legacy infrastructure, and driving firms toward managed services and cloud-native delivery models that can offer greater scalability, resilience and cost...
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Recent stock market losses among software providers have prompted some analysts to predict a coming “SaaS-pocalypse” as software companies are threatened by artificial intelligence that can write code and build software quickly and cheaply. The doomsayers may be premature, however. While AI undoubtedly has the ability to supplant some of those firms, it also presents...
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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.
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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...


