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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Recorded Webinar: Data platform modernisation: Best practice approaches for unifying data, real time data and automated processing
Financial institutions are evolving their data platform modernisation programmes, moving beyond data-for-cloud capabilities and increasingly towards artificial intelligence-readiness. This has shifted the data management focus in the direction of data unification, real-time delivery and automated governance. The drivers of this transition are improved operational efficiency as manual processes are replaced by faster, more accurate automated...
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By Scott Schweitzer, Independent Consultant, LDA Technologies. Electronic exchanges play a vital role in the financial industry, providing a robust and trusted forum for trading and execution without issue. But even so, the technology available to exchanges has traditionally led to discrepancies in data distribution, from microseconds to nanoseconds, which can be critical for latency-sensitive...
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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...