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Overview

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.
Programme 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
Co-founder & CEO, GradientX
Jeyshalini Tevosha
Data & AI Consultant, GradientX
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Peter Kua
Co-founder & CEO, GradientX
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.
Jeyshalini Tevosha
Data & AI Consultant, GradientX
Jeyshalini Tevosha is a Data & AI Consultant at GradientX, where her expertise plays a pivotal role in strategically harnessing data and Artificial Intelligence to drive superior business outcomes. Currently pursuing her master’s in Applied Computing at UM, Jeyshalini is set to graduate in November, 2024. She holds a BSc in Artificial Intelligence from UTeM, Malaysia, awarded in 2022, complemented by a foundational education in Science from the Penang Matriculation College. She is also a HRD Corp Certified Trainer. Jeyshalini's previous roles include being a Software Development Engineer at Curlec by Razorpay and a Digital & Innovation Executive at Hong Leong Bank Berhad.
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Asian Banking School
Explainable AI in Banking and Finance
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