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Overview

Artificial intelligence is rapidly reshaping how financial institutions analyse information, design products, manage risk and interact with customers. Generative AI systems such as ChatGPT, Claude and Gemini are increasingly used as professional thinking assistants capable of supporting research, analysis, report writing, coding, and strategic planning.
While many banking professionals are aware of these tools, there remains significant uncertainty regarding their capabilities, limitations and appropriate use cases within financial institutions. Different AI systems have distinct strengths in areas such as reasoning, coding, document analysis, data interpretation and knowledge synthesis.

Understanding these differences is important for professionals seeking to use AI responsibly and effectively within banking environments that require accuracy, compliance awareness and sound judgement.

This programme provides a structured overview of the three major generative AI platforms, namely ChatGPT, Claude and Gemini. Participants will examine how these systems work, how they differ in capability, and how each tool can be applied to specific banking tasks.

Through demonstrations and guided exercises, participants will explore practical applications such as analysing regulatory documents, generating management reports, summarising financial information, supporting risk analysis, improving customer communication and generating strategic insights.
Participants will also evaluate which AI tool may be most appropriate for particular banking functions including product development, compliance analysis, customer service support, market research and innovation initiatives.

By the end of the programme, participants will gain practical understanding of how generative AI tools can be integrated into banking workflows while recognising the limitations, risks and governance considerations associated with their use.
Programme Outline
Learning Objectives
By the end of the programme, participants will be able to:

  • Understand the basic principles and capabilities of generative AI systems used in professional environments
  • Explain the key features and differences between ChatGPT, Claude and Gemini
  • Identify banking tasks where generative AI tools can support analysis, communication and decision making
  • Evaluate which AI system is most suitable for different banking applications
  • Apply AI tools to generate insights, summaries and analytical outputs relevant to banking operations

Programme Outline
  • Module 1: Introduction to Generative AI in Banking
    • What is generative artificial intelligence
    • Overview of large language models
    • How generative AI is transforming professional work
    • Opportunities and risks of AI adoption in banking
  • Module 2: Understanding ChatGPT, Claude and Gemini
    • Overview of the three major generative AI platforms
    • Key capabilities and differences between the tools
    • Strengths and limitations of each system
    • Practical comparison of outputs generated by each AI system
  • Module 3: Applying Generative AI to Banking Tasks
    • Using AI to summarise financial and regulatory documents
    • Generating business reports and internal memos
    • Supporting product research and innovation analysis
    • AI-assisted customer communication and service responses
    • Practical demonstration using ChatGPT, Claude and Gemini
  • Module 4: Choosing the Right AI Tool for Banking Applications
    • AI for compliance and regulatory analysis
    • AI for research and strategy development
    • AI for coding, data analysis and technical tasks
    • AI for writing, summarisation and communication tasks
    • Evaluating which AI system is most suitable for each task
  • Module 5: Responsible Use of AI in Banking
    • Risks of AI misuse in financial institutions
    • Data privacy and confidentiality considerations
    • Verification of AI-generated outputs
    • Governance practices for responsible AI use in banking
  • Assessment and Programme Wrap-Up
    • Short knowledge assessment
    • Practical reflection on AI applications in participants’ roles

METHODOLOGY
The programme adopts a practical and interactive learning approach that combines conceptual understanding with hands-on exploration of AI tools.

Training methods include:
  • Facilitated lectures introducing AI concepts
  • Demonstrations of ChatGPT, Claude and Gemini capabilities
  • Comparative analysis exercises between AI systems
  • Scenario-based problem solving related to banking tasks
  • Guided practice using AI tools to generate analytical outputs
  • Group discussions on responsible AI adoption

Participants will actively experiment with generative AI tools during the programme to better understand their practical applications and limitations.
Participant profile
  • Banking and financial services professionals
  • Digital banking and innovation teams
  • Product development managers
  • Risk and compliance professionals
  • Strategy and transformation teams
  • Operations managers
  • Technology and IT professionals in financial institutions
  • Managers interested in applying AI tools in their work
Trainer
Dr. Paramsothy Vijayan
Director of Digital Banking & Leadership, 
Asian Banking School
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Dr. Paramsothy Vijayan
Director of Digital Banking & Leadership, Asian Banking School
Dr Vijayan Paramsothy is the Director of Digital Banking & Leadership at the Asian Banking School. He started his career working in one of the big 8 Chartered Accountants and Management Consultancy firms in the UK. He has over 20 years of banking experience working in local and foreign banks up to a senior management level, ranging over a diverse range of disciplines.

He is currently involved in structuring bespoke technical and soft skill programmes for banks. In addition, he is involved in the curriculum working committee for professional qualification programmes such as the Chartered Banker and Bank Risk Management. He is also a designated Chartered Banker trainer, bringing a fresh approach to self-directed learning using mind-mapping techniques, case studies and problem-based learning. Dr Vijay has published banking and finance related text books and journal articles internationally, including, “Success Factors for the Implementation of Entrepreneurial Knowledge Management in Malaysian Banks” (Journal of Information & Knowledge Management, 2013).

Dr Vijay holds an Honours Degree in Accounting and Finance from Scotland, a Master of Science Degree in Multimedia Technology (Banking), a Doctor of Business Administration (Banking Strategy and Marketing) from Australia, and a Doctor of Philosophy (Knowledge Management in Banking) from Malaysia. He recently successfully completed his Chartered Banker MBA from the Bangor Business School, Wales together with his Chartered Banker status awarded by the Chartered Banker Institute in Scotland. He is also a Certified Training Professional (ARTDO) and a Certified HRD Corp trainer.
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Asian Banking School
Mastering Generative AI in Banking: A Practical Guide to ChatGPT, Claude and Gemini
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