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

A-Team Insight Blogs

Q&A: Thomson Reuters’ Rich Brown on Machine Readable News, Social Media and Sentiment

Subscribe to our newsletter

BigDataForFinance.com’s sister community – Low-Latency.com – just conducted an insightful Q&A with Rich Brown, who leads machine readable news programs at Thomson Reuters. It’s a topic that spans both low latency and big data, and you can read it here.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

The Blueprint for High-Performance Trading Infrastructure

On this episode of FinTech Focus TV recorded at A-Team Group’s Buy AND Build Summit, Toby Babb of Harrington Starr chats with Diana Stanescu, Finance and Capital Markets at Keysight Technologies, to explore how speed, quality, and trust are redefining the trading technology landscape. From Keysight Technologies’ investment in InstrumentiX to the evolving “buy and...

EVENT

TradingTech Summit London

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

The Global LEI System – A Solution for Entity Data?

The Global LEI System – or GLEIS – has been in development since the middle of last year. Development has been patchy at times, but much has been done, leaving fewer outstanding issues, but also raising new questions. What’s emerging is a structure for the GLEIS going forward, complete with a mechanism for registering and...