12/10/2026
๐ช๐ต๐ ๐ฑ๐ผ ๐๐ผ ๐บ๐ฎ๐ป๐ ๐๐ ๐ฝ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐๐ ๐๐๐ฎ๐น๐น?
Aitsanart Wuthithanakul, Director of Data Analytics & Engineering at Lotus's, shared three failure patterns he keeps seeing in his work, mainly in Thailand:
โข Data confusion: having a lot of data isn't the same as having reliable data.
โข Tech-first thinking: buying tools before defining the problem.
โข No organisational change: treating AI as a side project on top of full workloads.
For Goh Ser Yoong, CISO of Ryt Bank, AI needs first-principles thinking, not just faster adoption. Before deploying an AI use case, ask: what's the worst-case scenario, how reversible is the decision, and what's the potential impact?
Successful organisations don't just adopt AI. They build the conditions to make it work: trusted data, clear problems and redesigned workflows.
The conversation continues at AIBP Executive Briefings: Accountability Under Scrutiny, covering data governance, incident response and RMiT readiness.
๐
12 November 2026
๐ 09:00 to 15:30 HRS
๐ Kuala Lumpur, Malaysia
Seats are limited โ reserve yours today: https://www.aibp.sg/aibp-networking/malaysia?utm_source=MKT&utm_medium=FB091026&utm_campaign=NTWKMY
*Participation is subject to confirmation.
This is a closed-door session. Only confirmed registrants will receive a confirmation email.