Training Catalog

The Implications of Generative AI in Finance

Banking

Description

Introduction

This course explores the revolutionary impact of generative AI on the finance industry. By examining current applications and future potentials, participants will gain a comprehensive understanding of how generative AI can transform financial operations and strategies.  

Objectives

By the end of this course, participants will be able to:

  • Understand the fundamentals of generative AI and its mechanisms.

  • Identify the various applications of generative AI in different finance functions.

  • Assess the potential benefits and risks associated with generative AI in finance.

  • Develop strategies for implementing generative AI in financial operations.

Programme
Introduction to Generative AI in Finance
  • Overview of Generative AI
    • Definition and capabilities
    • Historical context and evolution
  • Generative AI in Context
    • Comparison with traditional AI applications
    • Current state and future predictions
  • Case Studies
    • Real-world examples of generative AI in use
    Applications in Financial Planning and Analysis (FP&A)
  • Strategic Planning with Generative AI
    • Integration of financial, operational, and commercial data
    • Predictive models and real-time monitoring
    • Scenario planning and impact analysis
  • Transactional Finance
    • Automation of billing, payments, and collections
    • AI-powered agents and standard operating procedures
    Enhancing Financial Reporting and Compliance
    • Controllership and Reporting
    • Drafting financial reports with generative AI
    • Automation of reconciliations, journal entries, and financial consolidation
  • Internal Audit and Compliance
    • Continuous controls monitoring
    • Anomaly detection and risk management
  • Tax Functions
    • Automation in tax compliance and reporting
    • Data alignment and impact analysis of new regulations
    Strategic Implementation and Risk Management
  • Investor Relations
    • Generating stakeholder materials and strategic messaging
    • Data gathering and focus on strategy
  • Challenges and Risks
    • Addressing biases in AI models
    • Ensuring the reliability and security of AI outputs
    • Data privacy and compliance with regulations
  • Future Trends and Skills Development
    • Evolving roles in finance with AI
    • Essential skills: prompt engineering, bias recognition, quality validation
    Q&A Session
    • Open floor for participant questions
    • Discussion on implementation strategies and best practices
    Target Group
    • CFOs

    • Finance Managers

    • Officers and Individuals interested in AI working in banks, financial institutions, insurance and investment firms


    Modalities

    Course Material

    The training material will be handed out at the beginning of the course.

    Exam

    Participants will complete a short quiz at the end of the course to assess their understanding.

    Contact

    For further questions please contact our partner in your country