Southeast Asia Connect
Named and dated developments across Southeast Asia.
Thailand’s investment agency reports more than US$30.5 billion in electronics commitments since 2023, including US$10.1 billion across 224 printed-circuit-board and component projects.
The university programme has supported 288 learners and created 242 impact ventures. Current examples apply AI to senior engagement and earlier heart-risk detection with community partners.
The first 14 projects span utility-scale, floating and village solar, linking Indonesia’s national target with named sites, domestic manufacturing ambitions and community uses.
The combined two-day programme puts robotics, healthcare, logistics and retail demonstrations beside technology matching and advisory clinics. The useful question is not how much AI is on display, but which teams leave with a defined operating problem and a credible route to trial.
The appointment gives channel partners in both markets a new route to Kubernetes backup, recovery and migration capabilities. Distribution expands availability; it does not by itself establish customer adoption or operational performance.
Malaysia's national innovation expo runs from 26 to 28 August with pitching, exhibitions and commercialisation sessions. Its value will depend on whether the programme produces customer conversations and follow-through, not simply visibility for research projects.
New payment methods, multi-currency tools and planned treasury capabilities deepen Singapore’s role as a launch point for regional companies selling worldwide.
A national automotive forum opening today connects AI, vehicle software, smart manufacturing, localisation and investment in one competitiveness discussion.
A new action-plan focus on aligned systems, valuation and cross-border use aims to help Southeast Asian companies turn intangible assets into growth.
A new bilateral framework puts digital infrastructure, trusted data flows, research and commercialisation into one innovation-economy agenda.
Common infrastructure, clinical workflow tools and an outcomes framework point to a more disciplined phase of health-AI adoption.
A four-year university-industry laboratory will work across chips, memory and intelligent devices, with deployment evidence as the test of impact.