Artificial Intelligence is revolutionizing treasury operations, but where does it truly add value? This session explores key optimization areas, the integration of AI-driven analytics with Microsoft Qlib, and real-world use cases demonstrating its potential in liquidity management, forecasting, and risk mitigation. In this session you will learn,
- How to identify treasury processes that benefit most from AI-driven automation and optimization
- How to leverage Microsoft Qlib for advanced forecasting, scenario analysis, and decision-making
- How to apply AI in real-world use cases, from cash flow predictions to fraud detection and FX risk management.
&nsbp;
