Reference Data Review’s editor Andrew Delaney was interviewed for a BBC World Service show that aired this morning. The focus is on high frequency trading from our Low Latency Summit event earlier this week, but Andrew talks about regulators, data management and risk from about 7 minutes 30 seconds…
Financial institutions are under mounting pressure to rethink how they source, manage and distribute market data. Rising data volumes, multi-cloud adoption and the operational demands of regulations such as DORA are exposing the limits of legacy infrastructure, and driving firms toward managed services and cloud-native delivery models that can offer greater scalability, resilience and cost...
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....
Now in its 17th year, Data Management Summit (DMS) London returns In April 2027, to explore how to use data and AI to drive measurable business outcomes reliably, repeatedly and at scale.
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...