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Course Outline
AI Foundations for Financial Professionals for Government
- Understanding AI and machine learning in the context of finance for government
- Types of AI models: classification, regression, and generative models for government applications
- Responsible AI: ensuring accuracy, transparency, and ethical use in financial reporting for government
Automating Financial Data Processing for Government
- Utilizing AI tools for data ingestion and extraction from PDFs and spreadsheets for government agencies
- Cleaning and transforming data to support robust analysis for government operations
- Leveraging OCR, NLP, and LLMs to interpret unstructured financial text in a government context
AI-Driven Financial Statement Analysis for Government
- Implementing automated ratio analysis and benchmarking for government financial statements
- Utilizing machine learning for trend detection and variance analysis in government financial data
- Visualizing insights using AI-powered dashboards tailored for government reporting
Generative AI for Narrative Reporting for Government
- Using LLMs to draft executive summaries and variance commentary for government financial reports
- Creating management discussion and analysis (MD&A) with AI support for government agencies
- Employing prompt engineering for accurate financial storytelling in a government context
Scenario Planning and Forecasting with AI for Government
- Introduction to scenario modeling and simulation using machine learning for government agencies
- Building dynamic models for revenue, expense, and cash flow forecasting in a government setting
- Conducting stress testing of financials under various macroeconomic assumptions for government planning
Integrating AI into Existing FP&A Workflows for Government
- Enhancing spreadsheet workflows with Python or AI plugins for government use
- Utilizing collaborative tools and automation to streamline monthly and quarterly financial closes for government agencies
- Embedding AI into Excel, Power BI, or cloud FP&A platforms tailored for government operations
Audit, Governance, and Internal Controls for Government
- Ensuring AI explainability and readiness for internal audits in government financial processes
- Documenting assumptions and AI outputs to meet compliance requirements for government reporting
- Establishing controls for AI-assisted processes in financial reporting for government agencies
Summary and Next Steps for Government
Requirements
- Familiarity with essential financial statements and metrics for government
- Experience utilizing spreadsheets or basic data tools
- Some exposure to Python or a willingness to use AI-enhanced interfaces
Audience
- Financial analysts in the public sector
- FP&A teams within government agencies
- Controllers for government entities
14 Hours
Testimonials (1)
The background / theory of LLMs, the exercise