artificial-intelligence

  1. David Harper CFA FRM

    P2.T10.21.2. Artificial intelligence risk and governance

    Learning objectives: Identify and discuss the categories of potential risks associated with the use of AI by financial firms and describe the risks that are considered under each category. Describe the four core components of AI governance and recommended practices related to each. Explain how...
  2. Nicole Seaman

    P2.T10.21.1. Machine learning (AI&ML) for risk management

    Learning objectives: Explain the distinctions between the two broad categories of machine learning and describe the techniques used within each category. Analyze and discuss the application of AI and machine learning techniques in the following areas: Credit risk; Market risk; Operational risk...
  3. Nicole Seaman

    P2.T9.905. Machine learning in financial services: use cases and possible effects (FSB FIN, part 2 of 2)

    Learning Objectives: Describe the use of AI and machine learning in the following cases: operations focused uses; trading and portfolio management in financial markets; and uses for regulatory. Describe the possible effects and potential benefits and risks of AI and machine learning on financial...
  4. Nicole Seaman

    P2.T9.904. Artificial intelligence and machine learning (AI & ML) in financial services (FSB FIN, part 1 of 2)

    Learning objectives: Describe the drivers that have contributed to the growing use of Fintech and the supply and demand factors that have spurred adoption of AI and machine learning in financial services. Describe the use of AI and machine learning in the following cases: customer-focused uses...
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