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

Summit Survey – Thomson Reuters’ Kelly Explores Technology Drivers, Focus, Buy vs. Build

Subscribe to our newsletter

Delivering the opening keynote for last week’s Low-Latency Summit in NYC, David Kelly, Thomson Reuters’ CTO for Enterprise Solutions, put the audience response system to good use, polling the standing room only crowd on a number of key questions … covering technology drivers and focuses, and also on buy versus build, where the result was a surprise!

And the results were …

Question 1: What is your current primary driver for technology decision making for you or your customers?

Responses: Cost – 18%, Systems performance – 17%, Data/Trading Volumes – 19%, Regulation – 21%, Liquidity Seeking – 24%.

The responses underlined the wide range of factors that firms are grappling with. Cost and performance are perhaps givens, as is coping with volumes, but staying compliant with regulations, and leveraging fragmented marketplaces for trading advantage were the most significant drivers. Bottom line: There’s always something new to worry about!

Question 2: In terms of high velocity, low latency trading, what is your primary technology focus?

Responses: Market Data/Latency – 20%, Execution Latency – 23%, Trading Engine Proximity – 23%, Regulation – 15%, N/A – 19%.

The responses demonstrated the keen interest in high frequency trading strategies among delegates, and taking execution latency and trading engine proximity together, the emphasis on trading speed is still a driver for technology spend.  Bottom line: For this audience it is still faster, faster, faster!

Question 3: To what extent have you or your customers embraced ‘buy’ versus ‘build’?

Responses: No change over past 3 years – 19%, Trending towards buy – 25%, Trending towards build – 27%, No change – 29%.

The responses were a bit of a surprise for Kelly, who sees the world moving more towards a buy versus build model.  But for this audience, with probably a focus on the lowest latency, the norm is DIY, perhaps making use of certain components – e.g. data feeds, messaging – but integrating them with a lot of home-grown applications.  Bottom line: Thomson Reuters got some great market research!

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: From Data to Alpha: AI Strategies for Taming Unstructured Data

Date: 16 April 2026 Time: 9:00am ET / 2:00pm London / 3:00pm CET Duration: 50 minutes Unstructured data and text now accounts for the majority of information flowing through financial markets organisations, spanning research content, corporate disclosures, communications, alternative data, and internal documents. While AI has created new opportunities to extract signals, many firms are...

BLOG

Data Automator Xceptor Offers Platform Ready-Made for AI

Dan Reid is not surprised that Xceptor, the data automation giant he formed two decades ago, finds itself at the vanguard of a change in the way financial institutions regard and use documents. The rapid and accurate parsing of information from paper- and PDF-based reports has been made possible thanks to recent developments in artificial intelligence. The volume...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Practical Applications of the Global LEI – Client On-Boarding and Beyond

The time for talking is over. The time for action is now. A bit melodramatic, perhaps, but given last month’s official launch of the global legal entity identifier (LEI) standard, practitioners are rolling up their sleeves and getting on with figuring out how to incorporate the new identifier into their customer and entity data infrastructures....