Course Outline
Session 1: AI as a Strategic Pillar in Risk Management
1. Current Landscape of Financial Risk and the Role of AI
- The Evolution of Fraud and Financial Crime: Challenges for Modern Banking in Latin America.
- Why AI is Essential Today: Beyond Automation — Detecting Complex Patterns and Anomalies.
- Success Cases and Lessons Learned from Early AI Adoption in Global Banking.
2. Foundations of AI for Executives: Key Concepts and Applications
- Artificial Intelligence and Machine Learning: Definitions and Their Impact on Risk Detection.
- Real-Time Data Processing: Speed as a Competitive Advantage in Combating Fraud.
- The Value of Data: Identifying and Preparing Critical Data Sources for Banking AI Applications.
- Responsible and Ethical AI: Ensuring Fairness, Transparency, and Regulatory Compliance in Model Deployment.
3. Starting AI Adoption: Strategies and Critical Steps
- Identifying Problems and Opportunities: Where AI Can Have the Greatest Impact in Your Organization.
- Assessing Institutional Data and Technology Maturity.
- Defining Clear Objectives and Success Metrics for AI Risk Projects.
- The Importance of a 360° View of Risk: Integrating Data from Multiple Channels and Dimensions.
Session 2: Generating Value and Leading Transformation with AI
1. Building the Business Case for AI in Risk Management
- Cost-Benefit Analysis: Measuring ROI from AI in Fraud Prevention (Loss Reduction, Fewer False Positives, Resource Optimization).
- Impact on Customer Experience: Balancing Security and Transaction Fluidity.
- Strategic Benefits: Enhancing Agility, Scalability, and Institutional Reputation.
- How to Quantify Intangible Value: Brand Protection and Regulatory Compliance.
2. Leadership of AI Projects and Outcome Evaluation
- Multifunctional Teams: Key Roles and Profiles (Business, Data, Technology).
- Agile Methodologies for AI Implementation in Banking Environments.
- Continuous Monitoring and Adjustment: Tools and Processes for Evaluating AI Model Performance Post-Deployment.
- Governance Reporting and Explainability (XAI): Understanding AI Decisions Without Technical Expertise.
3. Optimizing AI Adoption: Advanced Implementation Strategies
- Build or Buy: Strategic Evaluation of AI Solution Implementation Options for Government.
- Advantages of Internal Capability Development (Full Control, Tailored Adaptation).
- Benefits of External Expert Partnerships (Proven Experience, Fast Implementation, Continuous Innovation, Reduced Operational Burden).
- Agility as a Pillar: How Specialized Platforms Accelerate Responses to New Fraud Typologies and Emerging Threats (e.g., Generative AI in Fraud).
- Beyond Fraud: The Multidimensional Potential of AI to Prevent Financial Crime and Ensure Regulatory Compliance.
- Next Steps: Developing a Roadmap for AI-Driven Risk Transformation in Your Institution.
Summary and Next Steps
Requirements
- Knowledge of risk management frameworks within the banking sector
- Understanding of digital transformation principles in financial services
- Interest in the strategic implementation of emerging technologies for government and private sector applications
Audience
- Banking executives
- Risk and compliance managers
- Decision-makers focused on fraud prevention and digital transformation initiatives for government and industry
Testimonials (3)
The background / theory of LLMs, the exercise
Joanne Wong - IPG HK Limited
Course - Applied AI for Financial Statement Analysis & Reporting
it has opened my mind to new tool that can help me in creating automation
Alessandra Parpajola - Advanced Bionics AG
Course - Machine Learning & AI for Finance Professionals
I very much appreciated the way the trainer presented everything. I understood everything even if Finance is not my area, he made sure that every participant was on the same page, while keeping up with the time left. The exercises were placed at good intervals. Communication with the participants was always there. The material was perfect, not too much, not too little. He elaborated very well on a bit more complicated subjects so that it can be understood by everyone.
