Build the Foundation for AI Success with PLM
Why your product data strategy will determine whether AI transforms your business—or fails to deliver.
The Hidden Link Between PLM and AI
AI promises smarter products, faster innovation, and more efficient operations—but 80% of AI initiatives fail to deliver measurable value.
The reason? Poor data foundations.
In most organizations, product and engineering data lives in silos—scattered across CAD systems, spreadsheets, ERP databases, and service tools. Without structure, context, and governance, AI systems can’t learn, adapt, or predict effectively.
That’s where Product Lifecycle Management (PLM) comes in. PLM centralizes and connects the product data your AI depends on—designs, parts, requirements, service records, and more—turning disconnected information into a single, trusted source of truth.
Start Here: Understand Why AI Needs PLM
Discover the root causes behind failed AI projects and how PLM creates the structure and context your AI systems need to succeed in our blog “Why AI Initiatives Fail Without a Solid PLM Foundation.”
Next: See How Leaders Are Preparing for AI
Our blog “The Executive Playbook: Preparing Your PLM for AI Success” gives executives a step-by-step readiness checklist to align product data, teams, and technology for AI-driven growth.
The PLM-to-AI Pipeline at a Glance
PLM is the digital backbone of AI-driven innovation. Here’s how it transforms scattered data into enterprise intelligence:
- Capture & Integrate: Consolidate product data from engineering, manufacturing, and service systems.
- Structure & Govern: Apply version control, access policies, and data standards.
- Enrich & Contextualize: Link designs, requirements, and test results to create usable context.
- Enable AI & Analytics: Feed clean, trusted data into AI for predictive, generative, and diagnostic insights.
This process turns disconnected data into actionable intelligence—enabling predictive maintenance, generative design, and AI-powered service improvements.
Explore How PLM Enables AI in Your Organization
AI doesn’t fail because the algorithms are bad—it fails because the data isn’t ready.
PLM is what makes it ready. If you’re serious about using AI to innovate faster, reduce costs, and deliver smarter products, start by strengthening your PLM foundation.
Ready to see where your own product data stands? Our Business Assessment helps you identify gaps, inefficiencies, and readiness for digital transformation.
You’ll gain a clear view of how structured PLM can set the stage for scalable AI success.
