Foundation in Artificial Intelligence (AI) for the Banking Sector - Centre for Digital Banking

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
Contact us
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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