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Recorded Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for data that’s fed into artificial intelligence models. If the data isn’t clean, accurate and complete, then...

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AI Agents Need Better Data, Not Bigger Models – Daloopa Benchmark

AI-powered fundamental and historical data provider Daloopa has published new benchmark research examining how well leading AI agent systems perform on real-world financial research tasks. Titled Benchmarking AI Agents on Financial Retrieval, the study evaluates whether recent advances in agentic AI translate into reliable outcomes when accuracy matters most. The benchmark focuses on a core...

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Data Management Summit London

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 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...