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Foundation in Artificial Intelligence (AI) for the Banking Sector
  • Overview
  • Objectives & Outline
  • Methodology
  • Participant Profile
  • Trainer
  • Overview
    PROGRAMME DETAILS

    Duration

    1 day

    TIME

    9:00 AM – 5:00 PM

    VENUE

    Asian Banking School
    Artificial Intelligence (AI) has generated much hype. It has the potential to change the entire banking sector and how banks operate in the next 5 to 10 years. Thus, it is important for financial services practitioners to understand the foundations of AI, its potential and impact to the industry. Additional knowledge of some of the tools and technologies associated with AI will be useful in determining the best use cases of AI in the banking and financial services sectors.
    LEARNING LEVEL
    Foundation
    PROGRAMME FEE

    AICB MEMBER

    MYR

    1,100*

    / PAX

    NON-MEMBER

    MYR

    1,400*

    / PAX

    *Subject to 6% Service Tax

  • Objectives & Outline
    LEARNING OBJECTIVES
    By the end of this programme, participants will be able to gain a deeper knowledge and understanding of AI through various modules:

    • Overview and History of AI
    • AI in Banks: Use Cases
    • Introduction to tools and technologies
    • AI maturity in the banking sector and how to get started

    PROGRAMME OUTLINE
    Module 1: Overview of Big Data
    • Definition of Artificial Intelligence (AI)
    • History of AI and what it is now (and what it is not)
    • Importance of data in AI

     Module 2: AI in Banks: Use Cases
    • Increase revenue: product and services
      • Recommendation engine
      • Interactive agents (e.g. chatbot, voice assistant)
      • Robot advisor
      • Algorithmic trading
    • Minimize Risk and Increase Operational Efficiency
      • Contract intelligence: automated legal document understanding and drafting
      • Identification and eradication of faults
      • Process automation in front, middle and back office operations
      • Early warning of risk

    Module 3: Artificial Intelligence Tools and Technologies
    • Problem solving: machine learning / deep learning
    • Reasoning: knowledge representation
    • Semantic: natural language processing
    • AI technologies and frameworks

    Module 4: Artificial Intelligence Maturity in the Banking Sector and How to Get Started
    • Assess internal capabilities
    • Relationship(s) between big data technologies and AI
    • Form Centre of Excellence (CoE)
    • Determine use cases for pilot Data acquisition
    • “Land-and-expand” approach: build on a series of quick-wins
    • How to contribute if you are not IT

  • Methodology

    Combination of classroom learning, case studies, group discussions and presentations

  • Participant Profile
    Banking professionals up to mid-level managers
  • Trainer

    Kew Yoke Ling

    Yoke Ling is the Founder and Executive Director of KewMann Sdn. Bhd., a Big Data analytics and behavioural science company headquartered in Singapore, with offices in Malaysia and Hong Kong. Yoke Ling has more than 18 years’ experience working with the financial services sector and government organisations to provide innovative solutions.
    He has assisted multiple clients with their digital transformation needs, from the on-premise era to cloud or mobile applications, from data mining to artificial intelligence. Notable clients include ICBC (Asia), Mastercard Asia Pacific, NTUC Income, Lembaga Hasil Dalam Negeri Malaysia (LHDN) and CyberSecurity Malaysia (CSM). Before founding KewMann, Yoke Ling held management positions in CallidusCloud (Asia Pacific), and was with Oracle for more than 8 years. Yoke Ling has a BSc (Hons) in Computing, and a post-graduate diploma from the Chartered Institute of Marketing (CIM).

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