One of Swift’s biggest pushes for the securities sector as part of its new 2015 strategy is in the securities matching services space. During the Sibos 2010 opening plenary, Swift played the following video, demonstrating industry perspectives on this initiative. Reference Data Review elaborated on the utility versus competitive approach.
Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for data that’s fed into artificial intelligence models. If the data isn’t clean, accurate and complete, then...
As institutions absorb ever greater volumes of data to meet their increasingly complex operational needs and those of regulators, they face a dilemma of how to store and distribute that critical information. Fragmented legacy systems have long been an impediment to the smooth management of data and now corralling multiple-cloud configurations can be added to...
Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.
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...