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

A-Team Webinar to Discuss Adding Cloud to High Performance Trading Infrastructure

Subscribe to our newsletter

The cloud is playing an ever greater role in financial markets, and firms across the sector – buy side, sell side and trading venues – are increasingly looking at how to make best use of it within their trading infrastructure, given the benefits that cloud offers in terms of its elasticity & scalability, the rapid development and deployment of cloud-native solutions, the accessibility and distribution of data on the cloud, and the wide range of analytics that are now available on tap.

However, questions remain about the suitability of the cloud for high performance trading, particularly for latency-sensitive firms who require deterministic high speed when ingesting market data and executing trades. Another challenge revolves around multicast, which firms rely on almost exclusively for the distribution of market data.

In A-Team’s webinar on 13th September sponsored by ICE Data Services, ‘Adding cloud to your high performance trading infrastructure’, panelists Habib R. Shaikh, Director & Global Head High Performance Low Latency Electronic Trading Infrastructure at  Credit Suisse, Henk D’Hoore, Senior Director, Feeds Product Management at ICE Data Services, and Ben Newton, Associate Partner at Synechron, will discuss why firms are moving towards the cloud for high performance trading infrastructure, the challenges they face, and what strategies firms are adopting to overcome those challenges, particularly around low-latency market data.

We hope you will be able to join us for what should be an interesting and thought-provoking discussion.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: From 24/7 to Event-Driven: Engineering the Next-Generation Exchange Platform

What digital asset and prediction markets are teaching traditional exchanges about availability, agility and time-to-market. New market structures and regulatory changes are forcing exchange operators to rethink the foundations of their technology stacks. Digital asset exchanges, prediction markets and retail-driven platforms have normalised 24/7 trading, continuous availability and rapid product iteration. In contrast, many traditional...

BLOG

From Pilots to Production: Capital Markets Firms Confront the Real Challenge of Scaling AI in Trading Workflows

Across capital markets, AI pilots are proliferating – on trading desks, in compliance functions, within data teams. The proof-of-concept phase has, for many firms, delivered enough evidence of value to settle the strategic debate. What remains stubbornly unresolved is the operational question: how to translate a growing patchwork of departmental experiments into scalable, production-grade capability....

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

Entity Data Management Handbook – Seventh Edition

Sourcing entity data and ensuring efficient and effective entity data management is a challenge for many financial institutions as volumes of data rise, more regulations require entity data in reporting, and the fight again financial crime is escalated by bad actors using increasingly sophisticated techniques to attack processes and systems. That said, based on best...