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Course Outline
Foundations of AI for Finance Professionals
- Understanding AI and machine learning within the financial sector
- Overview of AI model types: classification, regression, and generative models
- Responsible AI: ensuring accuracy, transparency, and ethical application in reporting
Automation of Financial Data Processing
- Employing AI tools for data ingestion and extraction from PDFs and spreadsheets
- Data cleansing and transformation for analytical purposes
- Utilizing OCR, NLP, and LLMs to process unstructured financial texts
AI-Enhanced Financial Statement Analysis
- Automated ratio calculations and industry benchmarking
- Identifying trends and analyzing variances through machine learning
- Presenting insights via AI-driven dashboards
Generative AI for Narrative Reporting
- Drafting executive summaries and variance commentary using LLMs
- Assisting in the creation of management discussion & analysis (MD&A) with AI
- Applying prompt engineering techniques for financial storytelling and accuracy management
Scenario Planning and Forecasting with AI
- Introduction to scenario modelling and simulation using ML
- Developing dynamic models for revenue, expense, and cash flow predictions
- Conducting stress tests on financials based on macroeconomic assumptions
Integrating AI into FP&A Workflows
- Enhancing spreadsheet processes with Python or AI add-ins
- Using collaborative tools and automation for monthly and quarterly closes
- Embedding AI capabilities into Excel, Power BI, or cloud-based FP&A platforms
Audit, Governance, and Internal Controls
- AI explainability and preparation for internal audits
- Documenting assumptions and AI outputs to meet compliance standards
- Establishing controls for AI-supported processes in financial reporting
Wrap-Up and Future Steps
Requirements
- Understanding of core financial statements and performance metrics
- Proficiency with spreadsheets or fundamental data handling tools
- Basic familiarity with Python or a readiness to adopt AI-assisted user interfaces
Target Audience
- Corporate finance analysts
- FP&A teams
- Controllers
14 Hours
Testimonials (1)
The background / theory of LLMs, the exercise
