The data management method known as Data-as-a-Service (DaaS) can be very effective for addressing data operations challenges that have emerged due to regulation and for other reasons, according to data and analytics executives who spoke in a webinar hosted by Intelligent Trading Technology on June 15.
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...
Much is spoken of the data challenges that institutional asset managers are facing as they redraw their business models to meet the demands of a new economic environment, but less is said of asset owners, who are undergoing their own operational transformations. For them, the data journey is just as challenging; as their operational models...
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.
Entity data management has historically been a rather overlooked area of the reference data landscape, but with the increase focus on managing risk, the industry is finally taking notice. It is now generally agreed to be critical to every financial institution; although the rewards for investment in entity data management appear to be rather small,...