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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From Pilots to Production: Capital Markets Firms Confront the Real Challenge of Scaling AI in Trading Workflows

Across capital markets, AI pilots are proliferating – on trading desks, in compliance functions, within data teams. The proof-of-concept phase has, for many firms, delivered enough evidence of value to settle the strategic debate. What remains stubbornly unresolved is the operational question: how to translate a growing patchwork of departmental experiments into scalable, production-grade capability....

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TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

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...