Fenergo

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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FCA Horizon Scan Calls for Collaboration on AI and Programmable Finance Risks

In a first-of-its-kind publication, the FCA’s Emerging Tech & Research team has published Emerging Technology Horizon Scan 2026, setting out how emerging technologies could combine to reshape financial services, market infrastructure and the control environment that supports trust in UK markets. The report is designed to foster debate and encourage collaboration across the financial services...

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AI in Data Management Summit New York City

Now in its second year, the AI in Data Management Summit NYC explores what changes when AI becomes part of the data management operating model.

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...