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: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

BT Sells Radianz to TNS, Reshaping Financial Markets Networking Landscape

BT Group has agreed to sell its financial technology unit, Radianz, to US-based Transaction Network Services (TNS), a move that not only marks a strategic shift for the British telecom giant but also significantly reshapes the competitive landscape for global financial network providers. The deal, announced Tuesday, is expected to close in the first half...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

Enterprise Data Management Europe 2010

he US may seem to be ahead of the rest of the world in terms of championing the data management cause with the inclusion of reference data focused items in the Dodd-Frank Act, but Europe is not too far behind. Senior European level officials such as European Central Bank (ECB) president Jean-Claude Trichet have taken...