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Including its model architecture, feature selection approach, and methods for explaining model decisions. This includes assessing their approach to ethical riskmanagement, evaluating their ethical metrics, and assessing the impact of their AI solutions on society.
It feels easier to build certain types of AI into legacy systems rather than ground a newly architected, ground up build, however challenges that often crop up include compatibility issues with outdated IT architecture and having to work with fragmented or incomplete data sets. In what ways is AI set to be most useful for traders?
Key features of the announcement: Introduction of DLG: Enables REs to obtain guarantees from lending service providers (LSPs) or other regulated entities against loan portfolio defaults. Limited Coverage: DLG can only cover up to 5% of the loan portfolio and must be backed by specific collateral (cash, fixed deposits, bank guarantees).
Security Architecture Review Assessing the overall system security, including perimeter protection, segmentation, and access control. Process and Policy Review Evaluating security governance, roles and responsibilities, riskmanagement, compliance with standards (e.g., ISO 27001, NIST), and frequency of audits.
If we look ahead to capital markets over the next two decades, the future of trading infrastructure will be built on a fabric of interconnected markets with a common data architecture, seamless connectivity throughout the ecosystem of exchanges and participants, minimal latency, and advanced AI-powered tooling.
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