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.
The data needs of financial institutions are growing at pace as new formats and greater volumes of information are integrated into their systems. With this has come greater complexity in managing and governing that data, amplifying pain points along data pipelines. In response, innovative new streamlined and flexible architectures have emerged that can absorb and...
The regulatory landscape for financial institutions has rarely been in greater flux than now, placing new challenges on the technology and data that will be critical to satisfying the requirements of overseers. While digital innovations are offering organisations the opportunity to meet their compliance obligations with greater accuracy and efficiency, they are also encouraging regulators...
The AI in Capital Markets Summit will explore current and emerging trends in AI, the potential of Generative AI and LLMs and how AI can be applied for efficiencies and business value across a number of use cases, in the front and back office of financial institutions. The agenda will explore the risks and challenges of adopting AI and the foundational technologies and data management capabilities that underpin successful deployment.
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...