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Duration 14 hours
Course Outline
AI Fundamentals for Finance Professionals
- Understanding AI and machine learning within the financial sector
- Exploring AI model types: classification, regression, and generative systems
- Responsible AI: Ensuring accuracy, transparency, and ethical application in reporting
Automating Financial Data Workflows
- Employing AI tools for data ingestion and extraction from PDFs and spreadsheets
- Refining and transforming data for deeper analytical use
- Applying OCR, NLP, and LLMs to decipher unstructured financial texts
AI-Powered Financial Statement Analysis
- Streamlining ratio analysis and industry benchmarking
- Identifying trends and variances through machine learning techniques
- Presenting insights via AI-enhanced 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
- Making use of prompt engineering to ensure financial storytelling accuracy and consistency
AI-Based Scenario Planning and Forecasting
- Overview of scenario modeling and simulation using machine learning
- Constructing dynamic models for forecasting revenue, expenses, and cash flows
- Conducting stress tests on financials based on macroeconomic assumptions
Integrating AI into Established FP&A Processes
- Enhancing spreadsheet operations with Python or dedicated AI plugins
- Utilizing collaborative automation for monthly and quarterly close cycles
- Incorporating AI capabilities 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 outcomes to maintain compliance
- Implementing control mechanisms for AI-assisted financial reporting processes
Wrap-up and Strategic Next Steps
Requirements
- Proficiency in core financial statements and key performance metrics.
- Hands-on experience with spreadsheets or fundamental data processing tools.
- Basic knowledge of Python or a readiness to work with AI-enhanced user interfaces.
Target Audience
- Corporate finance analysts.
- FP&A teams.
- Controllers.
Testimonials (1)
The background / theory of LLMs, the exercise
