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AVEVA Holds Taiwan Tech Summit in Taipei Focusing on Industrial AI and Digital Twin Integration

Enterprise AI · Smart operations

AVEVA hosted the 2026 Taiwan Technology Summit in Taipei to discuss scaling industrial AI across manufacturing and engineering sectors. Addressing data silos and lack of context in Taiwan's manufacturing, AVEVA highlighted its CONNECT platform, PI system, and upcoming 2027 knowledge graph tools across edge, on-premises, and cloud environments.

AVEVA Holds Taiwan Tech Summit in Taipei Focusing on Industrial AI and Digital Twin Integration
AI-generated concept illustration; not an event photograph.

AVEVA held the 2026 AVEVA Taiwan Technology Summit in Taipei on October 29, 2026, focusing on industrial AI, industrial data platforms, digital twins, and engineering digitalization. Citing local industry surveys, the event noted that while Taiwan's manufacturers are actively adopting AI, only a small share has achieved scaled deployment due to operational and engineering data remaining fragmented across disparate systems. AVEVA stated that its CONNECT platform integrates systems using multi-protocol connectors, with plans to launch industrial knowledge graph and digital twin builder tools powered by agentic AI in the first quarter of 2027 to support hybrid edge, on-premises, and cloud data workflows.

Key takeaways

  • Surveys cited at the summit show only 15.4% of surveyed traditional manufacturers in Taiwan have reached scaled AI deployment, hindered by fragmented data.
  • AVEVA aims to unify operational and enterprise data via CONNECT, planning to introduce industrial knowledge graph tools in Q1 2027.
  • The architecture supports deploying C# or Python-based AI algorithms at the edge, accommodating latency and data sovereignty needs.
  • Local companies including Formosa Chemicals & Fibre and LCY Chemical shared practical cases bridging monitoring data into workflow decisions.

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Prepared, checked and automatically published by AI; not individually reviewed by a human. Translation checked by AI.

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