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

A-Team Insight Blogs

Bear Stearns to Implement GemStone For Risk Data Latency

Subscribe to our newsletter

Bear Stearns plans to implement GemFire Enterprise from data infrastructure company GemStone to manage in-memory data across its enterprise applications, initially focused on Global Clearing and Settlement Risk Analytics as well as Program Trading. Bear Stearns realised its daily batch-oriented risk reporting was coming under strain as trading volumes increased and regulatory requirements became more stringent. Using GemStone has reduced data latency, decreasing the time needed to run the batch reports, providing a clearer picture of the risk being assumed by various groups within Bear Stearns.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for data that’s fed into artificial intelligence models. If the data isn’t clean, accurate and complete, then...

BLOG

Softwire QnA: Turning Great Ideas into Data Solutions for Institutions

UK-based Softwire offers its financial institution clients expertise in leveraging data to achieve their operational objectives. Data Management Insight spoke to Sean Judge, Softwire Client Director FS&I to find out more about the company. Data Management Insight: Hello Sean. Can you tell us when and how was Softwire created and how does it serve financial institutions? Sean Judge: Softwire...

EVENT

Digital Assets & Tokenisation Briefing, New York

A-Team Group’s Digital Assets & Tokenisation Briefing assembles an exclusive group of CxOs and senior technology innovators. These leading market practitioners and infrastructure providers are collectively building the digital rails and decentralised networks that will power Wall Street 2.0.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...