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Generative AI in Finance
  • Overview
  • Objectives & Outline
  • Methodology
  • Participant Profile
  • Trainer
  • Overview
    Programme Details
    Date
    29 May 2024
    Time
    9:00 AM – 5:00 PM
    Venue
    Asian Banking School
    HRDC PROG NO
    10001356576
    This one-day programme is designed to introduce the use of generative AI techniques in the financial industry. It will cover the basics of generative AI, including its different types and applications in finance. Participants will learn about how generative AI can be used for tasks such as fraud detection, risk management, and asset pricing. They will also learn about the ethical considerations of using generative AI in finance.
    Learning Level
    Foundation
    Programme Fees*

    AICB MEMBER

    MYR

    1,500

    / PAX

    NON-MEMBER

    MYR

    1,800

    / PAX

    *Subject to 6% Service Tax

  • Objectives & Outline
    LEARNING OBJECTIVES
    By the end of the programme, participants will be able to:
    • Understand the basics of generative AI
    • Gain insight to how generative AI is being used in finance
    • Use specific applications of generative AI in finance
    • Assess the challenges of using generative AI in finance
    PROGRAMME OUTLINE
    Introduction to Generative AI
    Basics of generative AI, including what it is, how it works, and its different types

    Generative AI in Finance
    How generative AI is being used in finance, including for tasks such as fraud detection, risk management, and asset pricing

    Applications of Generative AI in Finance
    Specific applications of generative AI in finance, such as generating synthetic data, creating financial visualisations, and developing trading algorithms

    Challenges of Generative AI in Finance
    Challenges of using generative AI in finance, such as the need for large amounts of data and the risk of bias

    Case Studies of Generative AI in Finance
    Real-world examples of how generative AI is being used in finance

    Ethical Considerations of Generative AI in Finance
    Ethical implications of using generative AI in finance, such as the potential for discrimination and the risk of financial instability

    Future of Generative AI in Finance
    The future of generative AI in finance, including how it could be used to solve some of the challenges facing the financial industry
  • Methodology
    Interactive group discussions, lectures, exercises, case studies, and sharing of real-world experiences in the banking industry
  • Participant Profile

    Junior- to senior-level executives from all divisions in the bank

  • Trainer

    Teck Guan

    Teck Guan is a data science and software practitioner. He has previously worked in Accenture as a consultant to help clients on digital transformation and improve their business processes and customer experiences. He has more than 10 years working experience in different MNCs, helping companies develop systems as part of their digital transformation journey.

    Teck Guan is also a part-time lecturer with one of the local universities and has conducted numerous face-to-face classes primarily on Data Science, Big Data Strategy, and AI Monetisation. He has also conducted online training on Data Science during the MCO period with local and overseas candidates.
    Teck Guan has a Master's in Data Science from the University of Malaya and a Bachelor Degree in Information and Communication Technology from Universiti Teknologi PETRONAS. His core professional strengths include system development, data science, and project management.

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