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Course Outline

AI Fundamentals for Finance Specialists

  • Defining AI and machine learning within the financial sector.
  • Overviews of AI model types: classification, regression, and generative models.
  • Responsible AI practices: focusing on accuracy, transparency, and ethical usage in reporting.

Streamlining Financial Data Processing

  • Employing AI tools for data intake and extraction from PDFs and spreadsheets.
  • Data cleaning and transformation for analytical purposes.
  • Utilizing OCR, NLP, and LLMs to process and interpret unstructured financial text.

AI-Powered Financial Statement Analysis

  • Automating ratio analysis and industry benchmarking.
  • Detecting trends and analyzing variances through machine learning.
  • Presenting insights via AI-enabled dashboards.

Generative AI for Narrative Reporting

  • Drafting executive summaries and variance comments using LLMs.
  • Generating management discussion & analysis (MD&A) sections with AI assistance.
  • Applying prompt engineering techniques to ensure financial storytelling accuracy.

AI for Scenario Planning and Forecasting

  • Basics 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 conditions.

Embedding AI into Current FP&A Processes

  • Enhancing spreadsheet workflows using Python or AI plugins.
  • Using collaborative tools and automation for monthly or quarterly close processes.
  • Integrating AI into Excel, Power BI, or cloud-based FP&A platforms.

Audit, Governance, and Internal Controls

  • AI explainability and preparation for internal audits.
  • Documenting assumptions and AI outputs to meet compliance requirements.
  • Implementing controls for AI-supported processes in financial reporting.

Wrap-up and Future Directions

Requirements

  • Knowledge of core financial statements and key performance indicators.
  • Practical experience with spreadsheets or fundamental data management tools.
  • Basic exposure to Python or the readiness to utilize AI-enhanced user interfaces.

Target Audience

  • Corporate finance analysts.
  • Finance, Planning & Analysis (FP&A) teams.
  • Controllers.
 14 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 3200 € + VAT*

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