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

A-Team Insight Blogs

Fame Delivers Reference Data Engine On IBM And Linux

Subscribe to our newsletter

Fame Information Services is to implement its historical and reference data engine on the IBM’s AIX and Linux for zSeries operating systems as a result of a partnership with the computer giant. Joan Meltzer, IBM’s director, solutions marketing enterprise servers, says that products like Fame provide real performance improvement along with overall cost savings. “Customers in investment banking, fund management, and banking are able to increase their performance and reliability and lower their cost of computing by implementing products like Fame’s historical and reference data engine on Linux for zSeries mainframes,” says Meltzer.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Executing the Migration to Cloud to Enable Scalability and Innovation

Date: 22 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Cloud-based services and processing have become essential to financial institutions as their data management demands have become more complex and expansive. Thousands of organisations have made the jump from their limited on-premises tech stacks to the near-infinite scalability opportunities...

BLOG

Clean Data Is Not Enough to Power AI

By Shai Popat, managing director, product and commercial strategy, financial information, SIX. Agentic AI projects are beginning to roll out across the financial industry. Many firms are testing AI’s feasibility by assigning it relatively simple tasks, such as summarising information or retrieving data and documents from internal databases. Two maxims are often cited when discussing...

EVENT

TEST Event page 1

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

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...