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Course Outline
Foundations of AI for Finance Teams
- Understanding AI and machine learning within the financial sector
- Overview of AI model types: classification, regression, and generative architectures
- Responsible AI practices: ensuring accuracy, transparency, and ethical application in reporting
Streamlining Financial Data Operations
- Employing AI tools for data ingestion and extraction from PDFs and spreadsheets
- Preprocessing and transforming data for analytical purposes
- Utilizing OCR, NLP, and LLMs to process unstructured financial text
AI-Powered Financial Statement Review
- Automated ratio calculations and comparative benchmarking
- Identifying trends and variances through machine learning
- Presenting insights via AI-enabled dashboards
Generative AI for Report Narratives
- Drafting executive summaries and variance explanations using LLMs
- Developing Management Discussion & Analysis (MD&A) sections with AI assistance
- Crafting effective prompts for financial storytelling and precision control
AI-Assisted Scenario Planning and Projections
- Basics of scenario modeling and simulation using ML
- Constructing dynamic models for forecasting revenue, expenses, and cash flows
- Conducting stress tests on financials based on macroeconomic scenarios
Integrating AI into Current FP&A Processes
- Enhancing spreadsheet workflows with Python scripts or AI add-ons
- Implementing collaborative automation for monthly and quarterly closing processes
- Embedding AI functionalities within Excel, Power BI, or cloud-based FP&A systems
Auditing, Governance, and Control Frameworks
- Ensuring AI explainability and readiness for internal audits
- Documenting assumptions and AI outputs to meet compliance standards
- Establishing controls for AI-supported processes in financial reporting
Recap and Future Actions
Requirements
- Proficiency with core financial statements and key performance indicators
- Working knowledge of spreadsheets or fundamental data analysis tools
- Basic familiarity with Python or a readiness to utilize AI-enhanced user interfaces
Target Audience
- Corporate finance analysts
- Financial Planning and Analysis (FP&A) teams
- Controllers
14 Hours
Testimonials (1)
The background / theory of LLMs, the exercise
