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.
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...
Consensus remains elusive over the value of aggregated ESG metrics such as ratings and other scores despite a flurry of recent studies on the contentious issue. Three issuers of ratings and indexes conducted their own research into the performance of funds and assets relative to their ratings and while two found at least some correlation...
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.
The May 25, 2018 compliance deadline of General Data Protection Regulation (GDPR) is approaching fast, requiring financial institutions to understand what personal data they hold, why they process it, and whether it is shared with other organisations. In line with individuals’ rights under the regulation, they must also provide access to individuals’ personal data and...