AIの力を解き放つ

AI for PLM is AI that is grounded in the digital thread. It uses the relationships, semantics, and governance of PLM data to support trusted human-AI collaboration across the lifecycle, from requirements and design through manufacturing, supply, configuration, and service. With Aras, this means governed AI access to product data plus agentic capabilities that help discover insights, enrich context, and automate PLM workflows.

The benefits of using AI in PLM include faster access to product knowledge, better decision-making, improved traceability across the digital thread, and greater automation of lifecycle processes. AI can help analyze connected data, uncover hidden relationships, support engineers with tasks like requirements analysis or change impact assessment, and improve productivity without losing governance, security, or context.

Aras provides a digital thread optimized for AI integration by creating a connected, governed foundation of product data and lifecycle context, then exposing that context through secure, extensible services for applications, integrations, and AI agents. The Aras Product Data Platform manages a single source of truth with an extensible schema, open APIs, traceability, and strong governance, while Aras InnovatorEdge and InnovatorEdge AI extend that digital thread to external applications, federated data, analytics, and agentic AI services. This allows AI to work with product data in context, securely, traceably, and with awareness of relationships such as requirements, changes, configurations, and lifecycle states.