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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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Kadoa and the New Economics of Web Data
For investment firms seeking an informational edge, the web represents an extraordinarily rich source of potential data. Product inventories and pricing, corporate activity, technology adoption, infrastructure development and countless other indicators can all provide insights that may not be available through conventional market and financial data sources. Extracting that information reliably, however, has traditionally required...
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RegTech Summit London
Now in its 10th year, RegTech Summit London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to innovate the compliance function and response.
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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...



