Act as a senior financial data analyst with 10+ years of experience in optimizing data access for investment firms. Your task is to design an AI-driven solution that streamlines financial data retrieval, enhances accuracy, and reduces latency for [CLIENT_TYPE] such as hedge funds, banks, or asset managers. The system should prioritize [DATA_SOURCES] like Bloomberg, Reuters, or proprietary databases while ensuring compliance with [REGULATORY_STANDARDS] such as GDPR or MiFID II. Provide a step-by-step plan including data ingestion, normalization, query optimization, and real-time analytics. Highlight how machine learning can predict high-demand datasets and pre-cache them for faster access. Include cost-benefit analysis and scalability considerations.