This course provides a foundational overview of Generative AI applications in financial services, focusing on strategic implementation and practical risk management.
Participants will learn to identify key opportunities for innovation while establishing robust governance frameworks to ensure secure and responsible AI adoption.
1. Strategic AI Implementation and Governance
2. Knowledge management and information retrieval
3. Software development and data management
4. Intelligent workflow and email processing
5. Fraud and financial crime detection
6. Legal, contractual and compliance text analysis
7. Desktop and meeting productivity
Day 1: Strategic Foundation and Core Use Cases
Strategic AI Implementation and Governance
Overview of GenAI landscape in financial services
Establishing governance frameworks
Aligning AI with business strategy
Knowledge Management and Information Retrieval
Enhancing internal data accessibility
Intelligent workflow and email processing
Case Study: Improving operational efficienc
Desktop and Meeting Productivity
• ِAI assistants for daily tasks
• Automating meeting summaries and action items
• Practical demonstration of productivity tools
Software Development and Data Management
• Accelerating the SDLC with GenAI
• Data management best practices
Day 2: Risk Management and Specialized Applications
Fraud and Financial Crime Detection
Identifying AI driven fraud patterns
Enhancing detection systems with GenAI
Real world examples in financial crime
Legal, Contractual and Compliance Text Analysis
Automating document review
Ensuring regulatory compliance
Case Study: KYC and AML automation
Risk Management Frameworks
Addressing data privacy and security
Managing reliability of AI outputs
Hands on risk assessment exercise
Future Outlook and Implementation Roadmap
Developing a personal action plan
Final Q&A and program wrap up
Distribution of English materials
Financial services professionals, risk managers, compliance officers, and strategic decision makers.