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Alpha depends on more than models, talent and execution. It depends on the quality, consistency and timeliness of the data behind every investment decision. Many hedge funds still operate with fragmented datasets, inconsistent identifiers and manual reconciliation processes that slow research, distort signals and increase operational risk. As firms scale across strategies, regions and asset...
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The most consequential changes facing financial markets technology in 2026 will not be driven by new asset classes or incremental latency gains, but by a fundamental rethinking of how trading systems are architected at their core. For decades, market participants have organised technology around functional silos: execution, risk, middle office, post-trade. These boundaries were reinforced...
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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...



