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Recorded Webinar: From Data to Alpha: AI Strategies for Taming Unstructured Data

Unstructured data and text now accounts for the majority of information flowing through financial markets organisations, spanning research content, corporate disclosures, communications, alternative data, and internal documents. While AI has created new opportunities to extract signals, many firms are discovering that value is constrained not by models, but by the quality of the content, architecture,...

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Bloomberg’s Kate Lee on Regulatory Data as an Operating Layer for Compliance and Reporting

Regulatory data has become a firmly established part of the control architecture of capital markets firms. As transparency rules diverge across the jurisdictions, liquidity monitoring becomes more granular, and supervisors demand stronger evidence of how figures are derived, firms are obligated to treat regulatory datasets as governed, versioned and explainable operating assets. In this Q&A...

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TradingTech Summit London

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

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...