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Trading Execution Concerns Shift From Latency To Proactivity

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The ground on which market participants walk is shifting from a foundation of latency and performance concerns to a playing field where being proactive is their best asset, according to trading technology experts who spoke in a webinar hosted by Intelligent Trading Technology on June 1.

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WEBINAR

Recorded Webinar: Enhancing trader efficiency with interoperability – Innovative solutions for automated and streamlined trader desktop and workflows

Traders today are expected to navigate increasingly complex markets using workflows that often lag behind the pace of change. Disconnected systems, manual processes, and fragmented user experiences create hidden inefficiencies that directly impact performance and risk management. Firms that can streamline and modernise the trader desktop are gaining a tangible edge – both in speed...

BLOG

FSB Guidance for Supervisors – Tracking Systemic AI Adoption Risk

The Financial Stability Board (FSB) has released detailed guidance on how regulators and supervisors should monitor the adoption of artificial intelligence (AI) across the financial system. The report, Monitoring Adoption of Artificial Intelligence and Related Vulnerabilities in the Financial Sector, provides a practical framework for identifying where AI use may introduce or amplify systemic risks....

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Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

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...