Take a look at the highlights from our recent Data Management Summit in London.
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What digital asset and prediction markets are teaching traditional exchanges about availability, agility and time-to-market. New market structures and regulatory changes are forcing exchange operators to rethink the foundations of their technology stacks. Digital asset exchanges, prediction markets and retail-driven platforms have normalised 24/7 trading, continuous availability and rapid product iteration. In contrast, many traditional...
The transition of artificial intelligence and machine learning (ML) models from experimental sandboxes to production environments remains a persistent operational friction point. While quantitative researchers and data scientists can often demonstrate alpha in isolated backtesting environments, the institutionalisation of these models requires a level of data pipeline robustness, latency control and regulatory auditability that research...
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 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...