Poor data quality has topped a list of challenges faced by fixed-income market participants in a survey by SIX.
The poll found that almost three-fifths of respondents said that issues such as mismatches in reference data, such as identifiers, or coupon details delaying settlements were the leading hurdles to smooth operations. Data integration was a problem for almost half of respondents and a third cited a lack of data transparency.
The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics and value without having to use precise technical terminology. Data engineers achieve this through semantic layers,...
By Gus Sekhon, VP Strategy, FINBOURNE Technology. For all the billions spent modernising investment technology, one question continues to linger for asset managers around what exactly do they own and where the risks lie? While it may sound straightforward, the reality is that across the investment industry right now, producing a complete picture of portfolio...
Now in its 17th year, Data Management Summit (DMS) NYC returns in September 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...