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Course Outline
Foundations of AI for Finance Professionals
- Understanding AI and machine learning within the financial sector
- Categorization of AI models: 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
- Utilizing OCR, NLP, and LLMs to process unstructured financial text
AI-Enhanced Financial Statement Analysis
- Automated ratio calculations and 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) reports
- Prompt engineering for financial storytelling and maintaining accuracy
AI-Powered Scenario Planning and Forecasting
- Overview of scenario modelling and simulation using ML
- Constructing dynamic models for forecasting revenue, expenses, and cash flows
- Stress-testing financial projections against macroeconomic scenarios
Integrating AI into Existing FP&A Processes
- Enhancing spreadsheet workflows with Python or AI plugins
- Utilizing collaborative tools and automation for monthly/quarterly closing processes
- Incorporating AI into Excel, Power BI, or cloud-based FP&A platforms
Audit, Governance, and Internal Controls
- AI explainability and preparing for internal audits
- Documenting assumptions and AI outputs for regulatory compliance
- Establishing controls for AI-assisted processes in financial reporting
Summary and Future Steps
Requirements
- Understanding of core financial statements and key performance metrics
- Proficiency in using spreadsheets or fundamental data analysis tools
- Basic knowledge of Python or a readiness to utilize AI-enhanced interfaces
Target Audience
- Corporate finance analysts
- FP&A teams
- Controllers
14 Hours
Testimonials (1)
The background / theory of LLMs, the exercise
