Mark Stacey

AI’s potential in trading depends on one thing above all: clean, consistent, and connected data. Yet for many desks, fragmented sources, legacy systems, and inconsistent tagging remain a major barrier to adoption. In this panel, buy-side leaders join platforms, vendors, and brokers to explore how firms are building the foundations for AI-ready trading and investment workflows.

From setting common standards and integrating broker, market, and internal datasets, to embedding governance and quality controls, panellists will share practical strategies for breaking down silos and improving data quality across the ecosystem. What role can partners play in accelerating this transformation- and how can a unified data layer deliver better pre-trade insight, execution quality measurement, and workflow automation?

Discuss the reality of integrating broker, market, and internal data into a usable front-office dashboard- what’s working, and where gaps persist.