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.
Artificial intelligence (AI) is increasingly being rolled out across financial institutions, being put to work in applications that are transforming everything from back-office data management to front-office trading platforms. The potential for AI to bring further cost-savings and operational gains are limited only by the imaginations of individual organisations. What they all require to achieve...
Proposals to improve the nature-risk data value chain has been welcomed by sustainability data leaders who said they will pave the way for better decision making and reporting by financial institutions and provide more detailed analyses for investors. The proposals offer a slate of principles to improve the quality of state-of-nature data collection and integration...
Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.
The Global LEI System – or GLEIS – has been in development since the middle of last year. Development has been patchy at times, but much has been done, leaving fewer outstanding issues, but also raising new questions. What’s emerging is a structure for the GLEIS going forward, complete with a mechanism for registering and...