About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Briefs

Refinitiv Research Shows Cloud Investment Escalating

Subscribe to our newsletter

Cloud projects are delivering immediate cost reduction, faster innovation and sometimes better than expected results, leading financial institutions to allocate almost half (48%) of their IT budget to public cloud services in 2020, up from 41% this year, according to results of recent Refinitiv research into the use of cloud technology for financial data. The key challenge is managing data privacy controls across multiple datasets in different location, while some firms are limiting use of the cloud because of regulatory concerns. The Refinitiv research is based on telephone interviews with 300 executives at buy-side and sell-side firms.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Leveraging interoperability: Laying the foundations for unique best-of-breed trading solutions

Date: 23 May 2024 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Interoperability on the trading desk promises more actionable insights, real-time decision making, faster workflows and reduced errors by ensuring data consistency across frequently used applications. But how can these promises be kept in an environment characterised by multiple applications...

BLOG

Bloomberg Introduces Data Access Extension for Enhanced TCA

Bloomberg has launched Data Access, a new extension to the Bloomberg Transaction Cost Analysis solution (BTCA), designed to provide clients with easier access to data through an API integration. The new extension allows users to consolidate their trading information with Bloomberg’s comprehensive reference and pricing data, enabling the creation of custom data solutions on top...

EVENT

AI in Capital Markets Summit London

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.

GUIDE

Enterprise Data Management

The current financial crisis has highlighted that financial institutions do not have a sufficient handle on their data and has prompted many of these institutions to re-evaluate their approaches to data management. Moreover, the increased regulatory scrutiny of the financial services community during the past year has meant that data management has become a key...