Bank of New York Mellon Asset Servicing has enhanced its Investment Analytics product line, which provides institutional investors with tools to evaluate and oversee a portfolio’s performance, structure, risk exposure and compliance. The enhancements involve expanded data coverage and improved data quality in three areas: sub-prime risk analytics, fixed income derivatives and short term securities, and initial public offering (IPO) shares outstanding.
Financial institutions are integrating not only greater volumes of data for use across their organisation but also more varieties of data. As well, that data is being applied to more use cases than ever before, especially regulatory compliance and ESG integration. Due to this increased complexity of institutions’ data needs, however, information often arrives into...
Financial institutions’ absorption of ever-greater volumes of data, and their utilisation of it in a surging number of use cases, is putting strains on their data management processes. Taking the friction out of those workflows can improve performance substantially. But the absence of a unified international set of standards to ensure all data used by...
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...