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

Upcoming Webinar: Building a Semantic Layer for Your Enterprise Data Estate

Date: 8 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics...

BLOG

Arcesium Aquata Update Deploys AI to Give ‘Purpose’ to Extracted Data

Giving structure to unstructured data has become indispensable to private market investors, who must deal with what must feel, to the much of rest of the digitised financial world, like relics from antiquity – PDFs, spreadsheets, emails and even paper documents. But the question that hangs over many solutions is what next? What happens to that data...

EVENT

Digital Assets & Tokenisation Forum, New York

A-Team Group’s Digital Assets & Tokenisation Summit spotlights how global financial leaders are rapidly embracing programmable tokenised assets and DLT networks to achieve real-time, 24/7 peer-to-peer transactions.

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...