LCH, an LSEG business

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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AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

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...