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Course Outline
AI Fundamentals for Finance Specialists
- Defining 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 cleaning and transformation for analytical purposes
- Applying OCR, NLP, and LLMs to process unstructured financial texts
AI-Powered Financial Statement Analysis
- Streamlining ratio analysis and benchmarking processes
- Identifying trends and variances through machine learning techniques
- Visualizing insights via AI-enabled dashboards
Generative AI for Narrative Reporting
- Drafting executive summaries and variance commentary using LLMs
- Assisting in the creation of Management Discussion & Analysis (MD&A) reports
- Prompt engineering for financial storytelling and accuracy management
Scenario Planning and Forecasting with AI
- Introduction to scenario modeling and simulation using ML
- Developing dynamic models for forecasting revenue, expenses, and cash flows
- Conducting stress tests on financials under various macroeconomic assumptions
Integrating AI into FP&A Processes
- Enhancing spreadsheet workflows with Python or AI plugins
- Utilizing collaborative tools and automation for monthly and quarterly closes
- Embedding AI into Excel, Power BI, or cloud-based FP&A platforms
Audit, Governance, and Internal Controls
- Ensuring AI explainability and readiness for internal audits
- Documenting assumptions and AI outputs to meet compliance standards
- Establishing controls for AI-assisted processes within financial reporting
Summary and Next Steps
Requirements
- Understanding of core financial statements and key performance indicators
- Proficiency with spreadsheets or fundamental data analysis tools
- Basic exposure to Python or readiness to adopt AI-enhanced interfaces
Target Audience
- Corporate finance analysts
- FP&A teams
- Controllers
14 Hours
Testimonials (1)
The background / theory of LLMs, the exercise
