Course Outline
Fundamentals of Generative AI
- Overview of generative models and their strategic value in finance
- Advantages and constraints when applied to financial sectors
Generative Adversarial Networks (GANs) in Finance
- Mechanisms of GANs: the interplay between generators and discriminators
- Case study: creating realistic transaction datasets for testing purposes
Large Language Models (LLMs) and Prompt Engineering
- How LLMs interpret and produce financial text
- Crafting prompts for forecasting and risk assessment
- Practical applications: summarizing financial reports, KYC processes, and identifying red flags
Enhancing Financial Forecasting with Generative AI
- Combining LLMs and ML models for time series forecasting
- Generating scenarios for stress testing
- Use case: predicting revenue by leveraging both structured and unstructured data
Fraud Detection and Anomaly Identification
- Leveraging GANs to detect anomalies in transactional data
- Uncovering emerging fraud patterns via LLM-based prompt workflows
- Evaluating models: distinguishing false positives from genuine risk indicators
Regulatory and Ethical Considerations
- Ensuring explainability and transparency in AI outputs
- Addressing risks associated with model hallucination and bias in finance
- Adhering to regulatory standards (e.g., GDPR, Basel guidelines)
Developing Generative AI Use Cases for Financial Institutions
- Constructing business cases to drive internal adoption
- Striking a balance between innovation and risk compliance
- Establishing governance frameworks for responsible AI deployment
Summary and Future Directions
Requirements
- A solid grasp of fundamental finance and risk management principles
- Practical experience with spreadsheets or basic data analysis
- Knowledge of Python is beneficial, though not mandatory
Target Audience
- Risk Managers
- Compliance Analysts
- Financial Auditors
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.
Price per private group, online live training, starting from 2600 € + VAT*
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Testimonials (1)
i already have some reports that i know, i will use some of the prompts that looked at today
