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 a cloud provider to explore how firms are building the foundations for AI-ready trading and investment workflows.

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

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