Metadata has become central to financial firms as a means of enriching, discovering and effectively using both business and technical data. Its management is equally important, particularly in capital markets applications such as data lineage and data governance, which require a clear view of data and its provenance, and the ability to scale and support...
Investment managers must take a fresh approach to data management, stressing trusted partnerships with outside expertise over traditional outsourcing models, as they seek to adapt to a rapidly changing economic landscape, a report has urged. The binary build-versus-buy strategy that has been the basis of innovation adoption for decades has been upended by advances in...
Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.
AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...