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.
As rising geopolitical uncertainty prompts an intensification in the complexity and volume of global economic and financial sanctions, banks and financial institutions are faced with a daunting set of new compliance challenges. The risk of inadvertently engaging with sanctioned securities has never been higher and the penalties for doing so are harsh. Traditional sanctions screening...
As organisations accelerate their cloud migration strategies to manage growing volumes of structured and unstructured data, demand is rising for secure, real-time, cloud-native access to trusted datasets. Leveraging Snowflake and Databricks Delta Sharing, S&P Global provides a scalable, agile foundation that allows organizations to directly access and query S&P Global and curated third-party datasets without...
Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.
The potential of a reference data utility model has been discussed for many years, and while early implementations failed to gain traction, the model has now come of age as financial institutions look for new data management models that can solve the challenges of operational cost reduction, improved data quality and regulatory compliance. The multi-tenanted...
