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AI Needs a Digital Thread
A robust product digital thread provides the secure, governed, and connected data foundation AI demands. It unlocks the full power of AI, data science, and advanced analytics—enabling smarter, faster decisions across the entire product lifecycle.
Align AI and Digital Thread Strategies to Drive Real Results
AI is transforming PLM with use cases like design optimization and intelligent change analysis. Aras helps you align your digital thread and AI strategies by identifying the high-impact use cases that drive the most value.
Discover
Analyze digital thread connected data with natural language search and prompts to speed time to insight
Enrich
Leverage AI to connect more data, more people, more of your business to the digital thread
Amplify
Transform PLM and product design with advanced AI services that augment the productivity of your design team
Are we on the brink of a PLM singularity?
Watch Aras CTO, Rob McAveney, discuss the evolution of Aras, digital thread, and PLM culminating in the modern era defined by AI-augmented product lifecycle management.
The benefit lies mainly in our improved ability to assess the impact of changes because we can now see the entire process chain. In the past, we initiated optimizations that were locally successful but ultimately disappointed at the end of the value chain. With Aras Innovator, we’ve closed the information gaps and now see the bigger picture. This allows us to simulate the possible effects of decisions from the beginning to the end of the process chain.
FAQs
- What is AI for PLM?
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.
- What are the benefits of using AI in PLM?
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.
- How does Aras provide a digital thread optimized for AI integration?
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.