See the video below on how in-memory technology from ScaleOut Software can boost MapReduce 40x for financial applications, such as real-time risk analytics.
Subscribe to our newsletter
A-Team Insight Blogs
Leveraging In-Memory for Real-Time MapReduce Analytics
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
When Margin Moves Upstream: How TT is Reworking Trading Decisions After the OpenGamma Deal
More than a month after completing its acquisition of OpenGamma, Trading Technologies is beginning to articulate how the deal is intended to change the way firms think about margin, capital efficiency, and trading decision-making. Rather than positioning margin as a downstream risk or treasury concern, TT is now framing capital efficiency as a front-office variable...
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
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...