Aras announces its 2026 Aras Connect Tour, a global event series focused on the theme “Adaptive Intelligence: AI, PLM, and the Future of Product Development.” The 2026 tour includes stops in Tokyo; Osaka, Japan; Stockholm, Sweden; Milan, Italy; Paris; and Frankfurt, Germany, and will expand into Taiwan and Australia for the first time with new events in Taipei, Taiwan; Canberra, Australia; and Brisbane, Australia.
The event series will explore how AI-native PLM and intelligent digital threads enable organizations to reduce coordination complexity, and make more informed decisions earlier in the product lifecycle, Aras reports. Attendees will learn from real-world customer examples, gain insights from industry experts, and discover approaches for building more intelligent and adaptable product development processes, Aras adds.
Attendees can gain insight into how organizations are moving beyond disconnected tools and static processes through product development approaches enabled by AI and the digital thread. Sessions will cover emerging approaches to AI-assisted engineering, lifecycle intelligence and real-time decision support, as well as strategies for scaling these capabilities across global organizations.
Select tour stops will also include a Tech Summit for developers and technical users, with sessions led by Aras engineers and community members.
The events will take place on the following dates:
“AI is creating new opportunities across engineering and product development, but it’s also exposing the limits of disconnected systems and fragmented processes,” says Leon Lauritsen, CEO of Aras. “Aras Connect 2026 brings together our global community to explore how AI-native PLM and intelligent digital threads are enabling organizations to move faster, improve coordination and make more confident decisions across the product lifecycle.”
Visit the Aras Connect website for event details, regional agendas, and registration information.
About Aras
Aras provides a digital thread platform for product lifecycle management and engineering AI. It is built on an AI-native, low-code foundation.
Sources: Press materials received from the company and additional information gleaned from the company’s website.


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