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Recorded Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research
For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...
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Bloomberg’s Kate Lee on Regulatory Data as an Operating Layer for Compliance and Reporting
Regulatory data has become a firmly established part of the control architecture of capital markets firms. As transparency rules diverge across the jurisdictions, liquidity monitoring becomes more granular, and supervisors demand stronger evidence of how figures are derived, firms are obligated to treat regulatory datasets as governed, versioned and explainable operating assets. In this Q&A...
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Data Management Summit New York City
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.
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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...



