User group meeting KL 2024

Fraud Typologies and Trends: An exploration of the latest fraud typologies and trends, providing attendees with a deeper understanding of current and emerging threats, enabling more effective fraud detection and prevention strategies.
ML Adoption in FIs: Adaptive and explainable machine learning models are becoming essential for financial institutions to enhance their risk management strategies, enabling a more sophisticated and dynamic approach to identifying and mitigating risks.

Time	Topic	Speaker (TBC)
9.30am – 9.40am	GBG Kick Off and Intros	Bernardi Susastyo
9.40am – 10.20am	Speaker from BNM (AI & ML related topic)	Rep from BNM
10.20am – 10.40am	An Overview of GBG end-to-end fraud prevention & detection technology	Tony Diep or Shekharr Bhagat
10.40am – 11.10am	Break
11.10am – 11.25am	Customer Sharing (1 or 2 customers)	Customer
11.25am – 11.30am	Q & A
11.30am – 11.40am	VOC & Closing	Penny Lim

Exec Track:

Time	Topic	Speaker (TBC)
11.45am – 12.15pm	Machine Learning Deep Dive (Use Cases, Demo etc)	Janice Khor & Amelia Teh
12.15pm – 12.30pm	Q & A and Closing
12.30pm	Networking Lunch

User Track:

Time	Topic	Speaker (TBC)
11.45am – 12.30pm	User Empowerment Workshop Part 1 Topics - TBC	Jason Lim
12.30pm – 1.30pm	Networking Lunch
1.30pm – 2.30pm	User Empowerment Workshop Part 2 (Optional) Topics - TBC	Jason Lim