How to Optimise Financial Data for AI: Tools, Techniques, and Use Cases (EN MS Teams)
AI in finance is only as effective as the data that fuels it. This webinar explores how to optimise financial datasets for AI applications—covering macroeconomic indicators, pricing and reference data, company fundamentals, risk intelligence, and unstructured text. You'll learn how to avoid common data pitfalls, apply best practices in feature engineering, and meet the technical requirements for scalable AI deployment. Whether you're building forecasting models, trading algorithms, or risk analytics, this course will help you maximise the value of financial data in your AI strategy.
Agenda
• Financial Data & Analytics Landscape
• Financial AI – Hype vs. Reality
• Optimising Financial Data for AI
• AI Data and Technology Requirements
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