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Data Science and AI
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GenAI in Practice: A Member Sharing Session - Melbourne

Presented by Tim Lam

KPMG Melbourne
Tower Two, 727 Collins Street, Melbourne, VIC 3000, Australia

4 CPD Points (In-Person Registration attendance)

Oct 20 2026 12:00PM - Oct 20 2026 2:00PM

Join fellow actuaries in Melbourne, Sydney or online to share how you are applying or thinking about applying GenAI at work. The session will start with actuaries leading GenAI adoption—Victor Bajanov, Ean Chan or Tim Lam—who will share their real-world use cases before opening the discussion to the broader group.

To get the most out of the session, attendees should come armed with a use case or idea of their own to share. The discussion-based format is designed for a range of experience levels, with plenty of opportunity to exchange ideas, discuss challenges and hear how peers across different practice areas are approaching GenAI.

Sessions in Melbourne and Sydney are in-person only; the virtual session is the option for those unable to attend in either city. None of the sessions will be recorded, so you can share openly in a candid peer-to-peer setting.

This is also a great opportunity to contribute towards the two-hour GenAI CPD requirement coming into effect from 1 October 2026 under the revised PS1.

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About the presenters
Tim Lam
Tim currently works as a Senior Actuary (Research and Analytics) - CUSAC Segment at Gen Re. In his role he supports the Canadian, UK, South African and Australian offices in research, AI and analytics projects across operations and actuarial functions. Tim is also an active volunteer for the Actuaries Institute, currently serving as the Data and AI lead on the Life Insurance Practice Committee amongst other volunteer roles. Outside of work he enjoys basketball refereeing and spends most of the season travelling across the state to officiate games.
Andrew Zheng
Andrew is an actuary working in General Insurance at Insurance Australia Group (IAG), with experience in reserving and data analytics. He has a strong interest in applying data science techniques to solve real-world actuarial problems and enjoys exploring how emerging technologies are reshaping the profession.

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