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WEBINAR
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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The Low-Latency Race Shifts from Speed to Scale and Control
For years, the evolution of low-latency trading infrastructure has largely been measured in one direction: faster. Microseconds became nanoseconds as trading firms invested in colocation, network optimisation, specialist hardware and FPGA acceleration to gain an edge in markets where position in the queue can determine whether an order is filled. That race hasn’t gone away....
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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.
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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...


