Remove Architecture Remove Portfolio Remove Risk Management
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AI Due Diligence: Exploring Essential Categories for Successful Implementation

Beyond M&A

Including its model architecture, feature selection approach, and methods for explaining model decisions. This includes assessing their approach to ethical risk management, evaluating their ethical metrics, and assessing the impact of their AI solutions on society.

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Fireside Friday with… Broadridge Financial Solutions’ Chris Perry

The TRADE

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ground a newly architected, ground up build, however challenges that often crop up include compatibility issues with outdated IT architecture and having to work with fragmented or incomplete data sets.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?

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Fintechs, Borrowers, and the Regulator: India’s Digital Lending Story in 2023

Razorpay

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).

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What to Do When a Security Breach Occurs Mid-Deal

Beyond M&A

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, risk management, compliance with standards (e.g., ISO 27001, NIST), and frequency of audits.

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The TRADE predictions series 2025: Artificial intelligence

The TRADE

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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