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Driving Operational Efficiency:
Identifying Fund Net Flow: AI assists in swiftly identifying fund net flows, offering a real-time understanding of asset movement.
Improving Routing and Trade Execution for Cost Optimization: AI-driven algorithms optimize trade execution and routing, reducing costs.
Making Predictions About Customer Profitability: AI models analyze customer data to predict profitability, aiding in strategic decision-making.
Reducing Middle and Back-Office Costs: AI-driven automation minimizes costs associated with error correction and process failures.
Identifying Channel Effectiveness: AI analytics help discern the effectiveness of various communication channels.