The Fear and Wisdom of Convergence – Cloud, Big Data and Low Latency

November 22, 2012 Off By David
Grazed from High Frequency Traders.  Author: Louis Lovos.

Convergence according to Wikipedia is the merger of previously distinct technologies into a new form; requiring new theories, new products, and new practices. The convergence of cloud computing, big data and low latency technologies have begun to meld together within the financial industry.

Increasing competition and thinning margins are pushing the technology envelope in the hunt for alpha. This has manifested itself on many fronts, increasing sophistication in the tools to search for alpha, controlling costs and managing risk to the confluence of the underlying infrastructure. The key enablers are big data and cloud deployments where low latency is the ante to play the game…

I recently attended the A-Team Group’s Low-Latency Summit in New York where I was a panelist discussing this very topic. Along with an esteemed group of individuals from NYSE Euronext, Intel, Gnodal and others we delved into the character of this evolving convergence.

Competitive advantages come from understanding data better

Trading firms operate in a fiercely competitive industry where success is measured by profit. They are constantly hunting for talent and technology to achieve that goal. Yet firms are ever threatened by fierce competition and controlling costs.  The side effect of this is increasing demands for deep data over longer time periods across a multiplicity of markets. This data dump is the fuel feeding automation technology and centers around two points:…

Read more from the source @ http://highfrequencytraders.com/blog/2781/fear-and-wisdom-convergence-cloud-big-data-and-low-latency