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Explainable AI in Banking and Finance
  • Overview
  • Objectives & Outline
  • Methodology
  • Participant Profile
  • Trainer
  • Overview
    Programme Details
    Date
    10 December 2024
    Time
    9:00 AM – 5:00 PM
    Venue
    Asian Banking School
    HRDC PROG NO
    10001415483
    This programme is tailored to demystify the applications of Explainable AI (XAI) in the banking and finance sector. Participants will gain a solid understanding of the principles behind Explainable AI and its relevance to financial decision-making. Through real-world applications and hands-on exercises, participants will learn how to interpret AI models and explore ethical considerations associated with XAI.
    Learning Level
    Intermediate
    Programme Fees*

    MYR

    1,700

    *Subject to 8% Service Tax per pax

  • Objectives & Outline
    LEARNING OBJECTIVES
    By the end of the programme, participants will be able to:
    • Comprehend the fundamentals of Explainable AI
    • Analyse the specific applications of Explainable AI in the context of banking and finance
    • Understand the importance of interpretability in financial decision-making
    • Apply hands-on exercises for model interpretation
    • Address ethical and compliance considerations related to Explainable AI
    PROGRAMME OUTLINE
    Introduction to Explainable AI

    Explainable AI in Finance

    Interpretability in Financial Decision-making

    Real-world Applications

    Hands-on Exercises for Model Interpretation

    Ethical and Compliance Considerations

    Q&A and Discussion
  • Methodology
    Interactive group discussions, lectures, exercises, case studies and sharing of real-world experiences
  • Participant Profile
    Senior managers, managers, and executives from financial institutions
  • Trainer
    PETER KUA
    Peter Kua is the co-founder and CEO of GradientX. His responsibilities include finding ways data can be used as a competitive advantage as well as identifying new business opportunities with data. He also heads the Data Science team in REV Media Group (formerly known as Media Prima Digital) and was instrumental in driving the National Big Data Analytics Initiative under MDEC in the areas of thought leadership and industry development. He played a key role in developing the first National BDA Framework that delivered strategic recommendations and action plans to achieve the National BDA vision.
    Peter has conducted training in areas that include public masterclasses in Big Data Strategy for NTT Data, PAS Selangor, CIIF, Pos Aviation Hitachi, FGV, Perodua Maxis, SIRIM, and Principal Asset Management CIMB. In addition, he also trained several in-house Big Data Strategy workshops for organisations such as OCBC, Keysight, TNB, TM One, and Johnson and Johnson. During the MCO period, Peter conducted several Big Data Strategy virtual classes for Citibank, Alliance Bank, Bank Islam, Intel, Osram, Dell, Sarawak Energy, Optics Balzers Penang Port, and Maxis Broadband. Peter’s core professional strengths include data science and big data strategies, web development and project management. His industry experience includes the media, internet, manufacturing, FMCG, e-learning and agriculture.

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