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

Welcome to Intelligent Trading Technology

Subscribe to our newsletter

Today we are re-launching Low-Latency.com as IntelligentTradingTechnology.com. We’ve discussed before why this evolution is happening … but here’s the elevator pitch on the expanded focus of this website and community: It’s about Big Data, streaming in real-time, and being processed by high performance predictive Analytics, to initiate the most profitable trades, executed with Low Latency, and subject to trade-time risk controls.

Want to find out more? A couple of places to do that:

* Download this industry briefing sponsored by TIBCO Software titled: “An Architecture for Intelligent Trading – Leveraging Big Data in Motion for Increased Profits”.

* Attend the Low-Latency Summit (sic) tomorrow where Dr. John Bates of Software AG will present the keynote: “Turning Crisis into Competitive Advantage – The Clue’s in the Big Fast Data”.

For those of you still focused on latency reduction, then nothing changes. We are not reducing the low latency content at all. Rather, we are augmenting it with coverage of relevant big data and analytics developments.

We hope you find the expanded focus to be useful. As always, we welcome your feedback. Drop a note to editor Pete Harris with your thoughts, opinions and ideas.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...

BLOG

Breaking Conway’s Law: Why Composable Trading Platforms Demand Organisational Change, Not Just Better APIs

Nearly 60 years ago, Melvin Conway observed that an organisation’s technology will inevitably mirror its internal structure. It’s a law that has aged uncomfortably well in capital markets, where billions spent on trading, risk and analytics systems have produced vertical stacks that reflect business-line org charts rather than the horizontal data flows firms now need...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

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...