The Tokyo Stock Exchange (TSE) is joining the London Stock Exchange and Johannesburg Stock Exchange in making its corporate actions data available via Swiftnet. Its Tokyo Market Information (TMI) service was launched in ISO 15022 format in 2001 and is used as a primary source of Japanese corporate actions data.
Unstructured data accounts for a growing proportion of the information that capital markets participants are using in their day-to-day operations. Technology – especially generative artificial intelligence (GenAI) – is enabling organisations to prise crucial insights from sources – such as social media posts, news articles and sustainability and company reports – that were all but...
Mainframes still provide the data and computational backbone of many financial institutions but some organisations are encountering challenges as they try to integrate them with newer architectures. Many are incompatible with cloud and server-based architectures as well as APIs. Work-arounds can be achieved but they require middleware that can be costly and time consuming to...
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...