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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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Institutional market data has long been associated with complex licensing, specialist infrastructure and lengthy procurement processes. Much of that complexity is unavoidable: exchange data can be technically demanding, commercially restricted and costly to distribute at scale. However, the expectation around how that data should be accessed is changing. As financial firms become more accustomed to...
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Now in its 16th year, Data Management Summit (DMS) NYC returns on September 17th 2026, to explore how to use data and AI to drive measurable business outcomes – reliably, repeatedly and at scale.
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Alternative Data in Capital Markets Handbook 2026
Alternative data adoption in capital markets has moved into a more disciplined phase. Simply possessing a dataset is no longer a differentiator – the priority now is how data is sourced, synthesised and deployed, and how quickly granular, disaggregated signals can be turned into validated, decision-ready insight. The 2026 edition of the Alternative Data in...



