AI Risk Governance for Banking and Insurance Professionals
Enhancing AI risk governance awareness for banking and insurance professionals to ensure regulatory compliance.
Course Fee
S$1300
Up to 70% funding available
Course Information
Why Choose Garranto Academy for Your AI Risk Governance Training?
Choose Garranto Academy for AI Risk Governance training to access a comprehensive curriculum, expert-led instruction, and practical insights, empowering you to navigate the complex landscape of AI risks in banking and insurance.
Course Overview
This two-day course on AI Risk Governance for Banking and Insurance Professionals addresses the challenges posed by divergent and evolving regulations in the context of AI adoption. Participants learn how to ensure compliance and minimize risks while scaling AI operations. The course covers strategies for balancing rapid development with safety and trustworthiness, evaluating the safety, fairness, and effectiveness of AI initiatives, and understanding how nations create AI policies without adding unnecessary complexity. By the end of the course, participants gain the tools to manage AI-related risks effectively and build long-term trust in AI systems within the financial sector.
Course Objectives
- Gain a comprehensive understanding of Generative AI.
- Develop strategic risk management skills tailored for the financial sector.
- Acquire practical insights into navigating uncertainties and risks in finance.
- Enhance digital awareness in finance and technology convergence.
- Equip participants with the knowledge and skills to effectively leverage Generative AI.
- Enable professionals to make informed decisions in dynamic finance environments.
- Learn to apply Generative AI in financial analysis and risk management.
- Understand the impact of Generative AI on financial markets and operations.
- Prepare professionals to innovate and adapt in the evolving finance landscape.
Prerequisites
- Foundational professional background in banking or insurance.
- Keen interest in the intersection of artificial intelligence and risk governance.
- Basic understanding of artificial intelligence concepts.
- Ability to engage actively with course content.
Course Outline
Day 1
Module 1: Foundational Concepts – Generative AI High-Level Overview
- Introduction to Generative AI
- High-level overview of Generative AI concepts and applications
Module 2: The Power and Promise – Gen AI in BFSI
- Understanding the potential of Generative AI in Banking, Financial Services, and Insurance (BFSI)
- Real-world examples and case studies
Module 3: Finding and Unlocking Business Value
- Identifying opportunities for business value creation with Generative AI
- Strategies for unlocking and maximizing business value
Module 4: Use Cases & Key Strategic Uses – Gen AI in Action
- Detailed exploration of key use cases and strategic applications in BFSI
- Best practices and lessons learned from successful implementations
Module 5: Navigating Uncertainties – Probing the Cybersecurity Risks
- Understanding cybersecurity risks associated with Generative AI
- Strategies for mitigating and managing cybersecurity risks
Module 6: Strategic Risk Management – Cybersecurity Risk Considerations
- Developing a strategic approach to risk management in the context of Generative AI
- Cybersecurity risk considerations for BFSI organizations
Module 7: From Ambition to Implementation – Navigating Challenges in Gen AI Adoption
- Challenges and considerations in adopting Generative AI in BFSI
- Strategies for successful implementation and overcoming obstacles
Day 2
Module 8: Policy and Regulatory Landscape
- Overview of policy and regulatory frameworks relevant to Generative AI in BFSI
- Compliance requirements and best practices
Module 9: Cybersecurity Risk Framework for Financial Sector – Singapore Story
- Case study on Singapore's cybersecurity risk framework for the financial sector
- Lessons learned and implications for other jurisdictions
Module 10: Responsible and Ethical AI
- Understanding the principles of responsible and ethical AI
- Implementing responsible AI practices in BFSI organizations
Module 11: Transforming Finance – Impacts & Implications of Adoption
- Examining the broader impacts and implications of Generative AI adoption in BFSI
- Future trends and potential developments
Course Outcomes
- Develop a comprehensive understanding of Generative AI in banking and insurance.
- Acquire skills to identify and mitigate risks associated with AI.
- Apply strategic risk management practices tailored for the financial industry.
- Gain expertise in monitoring enterprise risk indicators.
- Stay compliant with evolving standards in AI integration.
- Analyze real-world use cases for practical risk frameworks.
- Explore transformative impacts of AI adoption in finance.
- Address implications and strategic considerations for effective AI use.
Key Benefits of Embracing AI Risk Governance for Banking and Insurance Professionals
Enhance your risk management skills with our AI Risk Governance course, gaining insights into AI ethics, regulatory compliance, and risk mitigation strategies tailored for banking and insurance sectors.
How AI Risk Governance Can Revolutionize Risk Management in Banking and Insurance?
Witness a transformative shift in risk management as AI Risk Governance revolutionizes your approach, offering tools and strategies to proactively manage AI-related risks, ensure compliance, and safeguard institutional reputation.
What You'll Learn
Course Fee & IBF Subsidies
| Category | Individual | Company |
|---|---|---|
| Full Course Fee (For Foreigners & non-eligible) | S$1300 | S$1300 |
| 50% IBF Funding (SC aged ≤39 / All PRs) | S$650.00 | S$650.00 |
| 70% IBF Funding (SC aged ≥40) | S$390.00 | S$390.00 |
By enrolling in this course, you agree to our terms and conditions.
Facilities & Equipment
Virtual Training
- Electronic materials
- IT support for software & hardware
- Administrative support
Face-to-Face Training
- Air-conditioned classroom
- Meals & refreshments provided
- Projector & smart board
- Stationery provided