Kuala Lumpur: Taiwan External Trade Development Council (Taitra) president and chief executive officer Simon Wang emphasized the potential for deeper cooperation between Malaysia and Taiwan in artificial intelligence (AI), green sustainability, and smart healthcare. He highlighted Malaysia’s growing status as a digital powerhouse, particularly in data centre growth and infrastructure, during his opening remarks at the Taiwan Expo 2025 held at the Kuala Lumpur Convention Centre.
According to BERNAMA News Agency, this collaboration aims to advance smart systems, encompassing factory automation and AI platforms, leveraging deep expertise and shared ambition. Wang noted that Taiwanese companies are offering practical solutions in energy efficiency and low-carbon technology, aligning with Malaysia’s environmental goals to foster a greener, competitive future.
In terms of smart healthcare, Wang mentioned Taiwan’s readiness to partner with Malaysia in co-developing solutions in diagnostics, medical devices, and digital health to improve regional lives. Taiwan Expo 2025, organized by the Taiwan International Trade Administration and Taitra, showcases over 200 leading Taiwanese companies and focuses on themes such as smart manufacturing, health and wellness, sustainability, culture, and tourism.
The exhibition, marking its eighth iteration in Malaysia, highlights AI innovation prominently, with 32 leading AI firms from Taiwan displaying products and solutions in various sectors. Freedom Systems Inc, a participant in AI, is exploring opportunities to expand into Malaysia by establishing a local engineering team and securing new clients in sectors like manufacturing, biotechnology, and small and medium enterprises (SMEs).
A representative from Freedom Systems noted Malaysia’s vibrant manufacturing base, especially in Kuala Lumpur, Penang, and Johor Bahru, and the potential for collaboration in biotechnology and SME sectors, where cost-effective digital tools are in demand. They offer end-to-end IT outsourcing solutions to SMEs, addressing talent gaps and providing scalable support without high overhead costs.