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.
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Leveraging In-Memory for Real-Time MapReduce Analytics
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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,...
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BMLL and Features Analytics Target Surveillance Benchmarking with Level 3 Order Book Data
BMLL and Features Analytics have partnered to develop new trade surveillance benchmarking and market integrity analytics built on reconstructed historical order book data, signalling a shift towards more measurable, performance-driven surveillance frameworks. Under the agreement, Features Analytics will build and commercialise surveillance benchmarking products on top of BMLL’s harmonised historical Level 3, 2 and 1...
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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!
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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...