Dr. David P. Doyle

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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Scraping at Scale: Where AI Actually Helps, and Where It Doesn’t Yet

“AI web scraping that doesn’t break” was the title given to a fireside chat at the recent A-Team/Eagle Alpha Alternative Data Conference London – a phrasing that is, on its own terms, aspirational. Pipelines that self-maintain through site changes, schema drift and content shifts remain a destination rather than a current reality, and the session...

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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.

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...