
Subscribe to our newsletter

Unstructured data and text now accounts for the majority of information flowing through financial markets organisations, spanning research content, corporate disclosures, communications, alternative data, and internal documents. While AI has created new opportunities to extract signals, many firms are discovering that value is constrained not by models, but by the quality of the content, architecture,...
The standard taxonomy for data quality – accuracy, completeness, consistency, timeliness, point-in-time integrity, lineage – is easy to find in any vendor deck or industry guide. It is also increasingly beside the point. What the institutional buy side actually measures, and what it cares about when money is on the line, diverges sharply from that...
Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!
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...