Why Choose Garranto Academy for Your AI Risk Governance for Banking and Insurance Professionals Training?
Garranto Academy AI Risk Governance training to access a cutting-edge curriculum, industry experts, and hands-on learning experiences, empowering you to lead in mitigating AI-related risks in the banking and insurance sectors.
Course Overview:
AI Risk Governance for Banking and Insurance Professionals is a 2-day program offering comprehensive insights into the landscape of Generative AI in the BFSI industry. Participants will explore foundational concepts, industry-specific risks, and strategic risk management strategies. The course delves into regulatory frameworks, risk assessment processes, and practical use cases to equip professionals with the knowledge needed to navigate and mitigate AI-related risks.
What You'll Learn in Our AI Risk Governance for Banking and Insurance Professionals Certification Course?
Course Objectives:
- Differentiate Generative AI from Predictive AI, understanding key points.
- Recognize and mitigate industry-specific risks in BFSI with Generative AI.
- Analyze risks in financial sector Generative AI, implement strategic management.
- Understand challenges, navigate regulatory hurdles, ensure compliance in BFSI.
- Explore AI regulation, discuss policy, examine MAS and DBS use cases.
Prerequisites:
- Foundational background in banking/insurance with interest in AI and risk.
- Basic understanding of AI concepts required for active course engagement.
- Candidates should demonstrate interest in the intersection of AI and risk governance.
- Participants expected to have a basic understanding of AI concepts.
Course Outline:
Module 1: Introduction-Foundational Concepts -Generative AI
- Key Points - Generative AI
- Generative AI vs Predictive AI
- Generative AI β Good At, Limitations
Module 2: Navigating Uncertainties, Risks and Mitigation
- BFSI industry specific risks-Generative AI in action
- Emerging Risks from Generative AI
Module 3: Business Risks-Strategic Risk Management
- Risks posed by using GenAI systems in the financial sector.
- Risk Analysis and Assessment Processes
- Strategic Risk Management: Evaluating and Addressing Risk Considerations
Module 4: Methods for Monitoring Enterprise Risk Indicators and Risk Management Activities
- General challenges for Generative AI adoption
- Tech-Specific challenges and the regulatory Hurdle
Module 5: Policy and Regulatory Landscape
- Current state of AI Regulation.
- Policy considerations and topics for further discussion
- AI Regulation-Key Messages
Module 6: Use case - Risk Framework
- MAS - Gen AI risk Framework for the financial sector
- Guiding principles for responsible AI
Module 7: Transforming finance: The impacts and Implications of Adoption
- Financial Firms and adoption
- Types of records of risk management process and outcomes
- Components of Risk Management Plans
Course Outcomes:
Upon completion of the "AI Risk Governance for Banking and Insurance Professionals" course, participants will be able to:
- Understand Generative AI, distinguish from Predictive AI, evaluate key points.
- Identify and mitigate industry-specific Generative AI risks in BFSI sector.
- Apply strategic risk management to address risks in financial Generative AI.
- Navigate challenges in adopting Generative AI, ensure regulatory compliance.
- Understand AI regulation, discuss policy, examine MAS and DBS cases.
Key Benefits of Embracing AI Risk Governance for Banking and Insurance Professionals:
- Safeguard financial landscapes with our course, mastering AI Risk Governance.
- Gain expertise in risk assessment, compliance, and ethical AI practices for resilient and secure banking and insurance operations.
How AI Risk Governance for Banking and Insurance Professionals Can Revolutionize Risk Management in Finance?
Experience a revolutionary shift in risk management as AI Risk Governance for Banking and Insurance Professionals transforms your approach, incorporating ethical AI practices, compliance measures, and advanced risk assessment techniques.