FirstAML

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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Closing the AI Gap: Why Financial Institutions Must Move Beyond Pilots to Enterprise-Scale Impact

By Ravi Sidhu, UK&I risk and compliance solutions at Dun & Bradstreet. AI enthusiasm across financial services is at an all-time high, but measurable enterprise-wide success remains elusive. While UK businesses are moving quickly in AI readiness, with 52 per cent already using third-party AI platforms or modern cloud-native infrastructure to deploy AI workloads at...

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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.

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...