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Course Outline
Foundations of AI for Financial 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 usage in reporting.
Automation of Financial Data Processing
- Utilizing AI tools for data ingestion and extraction from PDFs and spreadsheets.
- Data cleaning and transformation for analytical purposes.
- Using OCR, NLP, and LLMs to interpret unstructured financial texts.
AI-Powered Financial Statement Analysis
- Automated ratio analysis and peer benchmarking.
- Machine learning applications for trend detection and variance analysis.
- Visualization of insights through AI-driven dashboards.
Generative AI for Narrative Reporting
- Drafting executive summaries and variance commentary using LLMs.
- Supporting the creation of Management Discussion & Analysis (MD&A) with AI.
- Prompt engineering techniques for financial storytelling and maintaining accuracy.
Scenario Planning and Forecasting with AI
- Introduction to scenario modeling and simulation using ML.
- Developing dynamic models for forecasting revenue, expenses, and cash flows.
- Stress-testing financials against macroeconomic assumptions.
Integrating AI into Existing FP&A Workflows
- Enhancing spreadsheet workflows with Python or AI plugins.
- Automation and collaborative tools for monthly and quarterly closing processes.
- Integrating AI 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 for compliance purposes.
- Establishing controls for AI-assisted financial reporting processes.
Summary and Next Steps
Requirements
- Knowledge of core financial statements and key performance indicators.
- Proficiency in using spreadsheets or fundamental data tools.
- Basic familiarity with Python or an openness to using AI-enhanced interfaces.
Target Audience
- Corporate finance analysts.
- FP&A teams.
- Controllers.
14 Hours
Testimonials (1)
The background / theory of LLMs, the exercise
