Overview
In Vietnam’s hyper-growth manufacturing sector, unplanned downtime isn't just a cost, it’s a silent drain on OEE and global competitiveness.Join us for a 45-minute coffee chat as we hear directly from a manufacturing innovator on the ground. We’ll discuss the shift and how AI-driven insights are becoming the new standard for the modern shop floor.
Key Takeaways
Unplanned downtime has a number, and most manufacturers don't know what theirs is. After this session, they will.
The shift from reactive to cognitive doesn't require a 6-month implementation, it starts with one critical asset, a two-week baseline, and a prescription that your team can act on immediately.
Schedule
Date: 03 Jun 2026, Wednesday
Time: 11:00 AM - 11:45 AM (GMT +8:00) Kuala Lumpur, Singapore
Location: Online
Speakers
Speaker's Profile:
Cong Tran, Plant Manager, TriMas Packaging Vietnam
Cong Tran is currently Plant Manager at TriMas Packaging, where he leads major factory relocation and technology upgrade initiatives, including facility setup, production line transfers, and regional production capacity expansion. With extensive experience in manufacturing operations, technical project execution, and operational excellence, Cong has built a strong track record of leading cross-functional teams across production, engineering, and maintenance. He is passionate about developing high-performance manufacturing environments through continuous improvement, cost optimization, and scalable operational strategies that support sustainable growth in fast-evolving industrial sectors.
Speaker's Profile:
Tram Vo, Country Manager, Groundup.ai
Tram Vo is Country Manager at Groundup.ai, the company behind the world’s first Agentic AI platform for Cognitive Maintenance. She works directly with industrial companies across Vietnam, helping them eliminate unplanned downtime, reduce maintenance costs, and build operations that run with continuous intelligence, not reactive firefighting. With deep expertise in B2B AI adoption, Tram specialises in translating cutting-edge technology into practical, high-impact deployment: getting enterprises from pilot to operational reality, at scale, without the friction of steep learning curves or high-risk implementations.
