In this video, Brad Foster, global head of enterprise data content at Bloomberg, discusses the data and data management elements of successful ESG initiatives. Among these he notes the need for a solid data and technology foundation, as well as links between ESG data and other datasets to gain insight and value from the data. ESG data, he concludes, must become an extension of a firm’s existing data strategy.
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...
The rapid adoption of artificial intelligence by financial institutions has required a heavy data management uplift as organisations have upgraded their systems to incorporate the new technology. It has also provided greater opportunity to squeeze even more value from data by enabling its efficient deployment across enterprises. Just how companies manage data for AI 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.
Entity data management is this year’s hot topic as financial firms focus on entity data to gain a better understanding of customers, improve risk management and meet regulatory compliance requirements. Data management programmes that enrich the Legal Entity Identifier with hierarchy data and links to other datasets can also add real value, including new business...