ENHANCING BANKING & FINANCE WITH AI: TOOLS & RISK MANAGEMENT FOR EXECUTIVES - NUS Business School

ENHANCING BANKING & FINANCE WITH AI: TOOLS & RISK MANAGEMENT FOR EXECUTIVES

DURATION

3 days

NEXT RUN

TBA

FEES

SGD 3,106.50 (incl. GST)
SGD 361.95 (after MAX Funding*)

VENUE

Mochtar Riady Building, Lvl 5, 15 Kent Ridge Drive, Singapore 119245

NUMBER

Lim Si Qi
+65 6601 8902

E-MAIL

lim-sq@nus.edu.sg

*GST shall apply at prevailing rates. More info.

OVERVIEW Outline key benefits FACULTY who should attend DATES AND FEES RELATED

OVERVIEW

Data are a key and critical competitive component of all businesses. Data-driven technologies such as Data Science (DL), Machine Learning (ML), and Artificial Intelligence (AI) help translate data into competitive advantages for many businesses and enterprises, including those in banking and finance. A good understanding of these technologies and their real-world business applications are now critical skills and knowledge of all business executives.

This course spans 3 days, with the first 2 days dedicated to building foundational knowledge of AI technology in financial services and the third day emphasizing practical skills.

Outline

Day 1: Understanding of Technology

Overview of the AI industry, including trends and future directions
Exploration of AI use cases in financial services
Introduction to data science, machine learning, and artificial intelligence concepts
Detailed discussion on AI algorithms and specific use cases
Introduction to Supervised and Unsupervised Learning techniques
Overview of Reinforcement Learning and its applications

Day 2:Understanding of Technology

Overview of Deep Learning and Natural Language Processing
Introduction to Large Language Models, such as those used in chatbots and virtual assistants
Machine learning demo/practical session
Guest speaker session for industry insights.
Additional segment on the application of AI in banking and finance
Quiz and assessment to evaluate participants' understanding

Day 3: AI Risk Management

Emerging AI-related cyber crime risks, including adversarial AI, deep fake fraud, phishing, synthetic identities, etc.
AI Ethical Issues, including transparency and black box issues, AI biases, data privacy, societal implications of AI deployment, etc.
Case Discussions involving ethical dilemmas and best practices
Overview of current and upcoming regulations related to AI
Understanding of and strategies, frameworks, and tools in managing AI Risks.

Key Benefits

The objective of this course is to equip business, finance, and banking executives with:

A foundation understanding of the data science, machine learning, and Artificial Intelligence (AI) technologies
Knowledge about the way these technologies work and solve real world issues
A broad understanding of their applications in banking, finance, and other commercial settings
Identification of AI risks and ethical issues
Strategies, frameworks, and tools to assess and mitigate risks in AI projects.

FACULTY

Programme Director

teo, ted

Adjunct Assistant Professor
Finance

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Co-course Instructor

robin lee

General Manager APAC, HAWK; Managing Director, Xperientia

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WHO SHOULD ATTEND

The course is specially designed for business executives and working adults without STEM (Science, Technology, Engineering, Mathematics) background or coding/programming language skills.
A large variety of use cases involving financial institutions, fintechs, and other businesses will be used to inspire the participants in adopting the technologies to drive innovation, productivity, and efficiency in their workplace.

DATES AND FEES

Date	Venue	(incl. GST)	(after MAX Funding*)	Registration
TBA	Mochtar Riady Building, Lvl 5, 15 Kent Ridge Drive, Singapore 119245	SGD 3,106.50	SGD 361.95

Application Procedure & Deadline

Participants are strongly advised to apply at least 2 weeks in advance.

SkillsFuture Singapore (SSG) Funding Scheme for Singapore Citizens or Permanent Resident (PR)

This programme is eligible for subsidies under SkillsFuture Singapore (SSG). Singaporeans or PR can enjoy up to 70% or more subsidies.

Sponsorship Type	Self-Sponsored		SME Company-Sponsored²	Non-SME Company-Sponsored		Self-Sponsored / Company-Sponsored
Profile	Singapore Citizens / SPRs	Singapore Citizens Aged 40 and Above³	Singapore Citizens / SPRs	Singapore Citizens / SPRs	Singapore Citizens Aged 40 and Above³	International
Payable Fees¹	$931.95	$361.95	$361.95	$931.95	$361.95	$3,106.50