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...
Senior executives at financial institutions expect to direct the biggest boost in their data expenditure plans over the coming year towards ESG information, according to a survey that also found that high-quality data and analytics in all domains is being prioritised for growth. In its third annual Future of Finance survey, Switzerland-based exchange operator SIX also found...
Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.
Over the past couple of years, Complex Event Processing has emerged as a hot technology for the financial markets, and its flexibility has been leveraged in applications as diverse as market data cleansing, to algorithmic trading, to compliance monitoring, to risk management. CEP is a solution to many problems, which is one reason why the...