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Research reports
Explainable AI in Finance: Addressing the Needs of Diverse Stakeholders
The report underscores that transparent, explainable AI is vital in finance — not only for regulatory compliance but also for institutional trust, ethical standards, and risk governance. Although automated tools help, human oversight and organizational alignment are indispensable.

Research
RAG for Finance: Automating Document Analysis with LLMs
This article explores how retrieval-augmented generation (RAG) enhances investment research by enabling LLMs to analyze unstructured documents like proxy statements, and offers practical guidance on working with RAG.

Research reports
Synthetic Data in Investment Management
Generative AI can create synthetic datasets to augment workflows such as scenario stress-testing and portfolio optimization. This report explains how, with guidance on assessing data quality and a case study fine-tuning an LLM for sentiment analysis.
