Generative AI in Finance - Digital Banking

It will cover the basics of generative AI, including its different types and applications in finance. Participants will learn about how generative AI can be used for tasks such as fraud detection, risk management, and asset pricing. They will also learn about the ethical considerations of using generative AI in finance.

Programme Outline

Learning Objectives

By the end of the programme, participants will be able to:

Understand the basics of generative AI
Gain insight to how generative AI is being used in finance
Use specific applications of generative AI in finance
Assess the challenges of using generative AI in finance

Programme Outline

Introduction to Generative AI
Basics of generative AI, including what it is, how it works, and its different types
Generative AI in Finance
How generative AI is being used in finance, including for tasks such as fraud detection, risk management, and asset pricing
Applications of Generative AI in Finance
Specific applications of generative AI in finance, such as generating synthetic data, creating financial visualisations, and developing trading algorithms
Challenges of Generative AI in Finance
Challenges of using generative AI in finance, such as the need for large amounts of data and the risk of bias
Case Studies of Generative AI in Finance
Real-world examples of how generative AI is being used in finance
Ethical Considerations of Generative AI in Finance
Ethical implications of using generative AI in finance, such as the potential for discrimination and the risk of financial instability
Future of Generative AI in Finance
The future of generative AI in finance, including how it could be used to solve some of the challenges facing the financial industry

METHODOLOGY

Interactive group discussions, lectures, exercises, case studies, and sharing of real-world experiences in the banking industry

Participant profile

Junior- to senior-level executives from all divisions in the bank

Trainer

Teck Guan

Data science & software practitioner

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Teck Guan

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Teck Guan is a data science and software practitioner. He has previously worked in Accenture as a consultant to help clients on digital transformation and improve their business processes and customer experiences. He has more than 10 years working experience in different MNCs, helping companies develop systems as part of their digital transformation journey.

Teck Guan is also a part-time lecturer with one of the local universities and has conducted numerous face-to-face classes primarily on Data Science, Big Data Strategy, and AI Monetisation. He has also conducted online training on Data Science during the MCO period with local and overseas candidates.

Teck Guan has a Master's in Data Science from the University of Malaya and a Bachelor Degree in Information and Communication Technology from Universiti Teknologi PETRONAS. His core professional strengths include system development, data science, and project management.