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

Low-Latency Summits: Looking Back and Forward

Subscribe to our newsletter

We held the latest Low-Latency Summit in London a couple of weeks ago and already the memories are distant ones. But a lot was covered, from ROI on latency investment to trading in Russia. We recorded the entire proceedings to allow you to recap the experience, or to hear what you missed.

We’re now looking ahead to the next Low-Latency Summit in New York City on May 1. It seems like it’s way in the future, but it will be here like tomorrow. We’re continuing with the converged technologies theme – low-latency, cloud, big data – but directing it towards what we believe will be a major focus of 2013: Intelligent Trading. What is Intelligent Trading? Click here to find out.

We’ve defined a couple of morning plenary panels for suits and geeks alike:

Panel: Beyond Latency – How to Find Alpha Through Intelligent Trading

“A trading strategy based on being the fastest isn’t a strategy” is a view we’ve heard from several trading firms in recent months. For sure, being competitive in the latency race is important, but so too is adopting new approaches to trading, embracing Big Data sources, including time series and news/social media sources in order to make the right trades, not just the first ones.

Panel: Hardware Acceleration for Technology Convergence

In a world where technology convergence – Low Latency meets Cloud and Big Data – is playing out, the fastest hardware platforms are moving beyond a straightforward FPGA direction. The x86 roadmap is omnipresent, overclocking is becoming accepted, and other chip architectures are increasing in relevance. Add advances in solid state storage and networking fabrics to the mix, and getting hardware integration right is once again an imperative.

Subscribe to our newsletter

Related content

WEBINAR

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

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 discovering that value is constrained not by models, but by the quality of the content, architecture,...

BLOG

Tradeweb and Kalshi Announce Strategic Partnership to Expand Institutional Access to Prediction Markets

Tradeweb, the global operator of electronic marketplaces for rates, credit, equities, and money markets, and Kalshi, the world’s largest prediction market, have formed a strategic partnership to expand institutional access to Kalshi’s prediction market data. The collaboration also includes plans to support institutional-grade event contract trading via Tradeweb’s platform. The announcement brings a regulated prediction...

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...