
Agentic PLM: What It Means When Your PLM System Starts Making Decisions
Agentic PLM shifts product data management from passive repository to active decision-maker. Here's what that means for enterprise software teams and PLM architects.
In-depth analysis tagged AI in PLM — covering PLM history, vendor strategy, and the technical decisions reshaping engineering software.
1 article
An approach to product lifecycle management where AI agents autonomously execute PLM tasks, act as a single source of change across engineering tools, and manage product data and workflows without requiring continuous human intervention.
Engineering Change Management (ECM) is a systematic process used in Product Lifecycle Management (PLM) to identify, evaluate, implement, and track changes to products, processes, or systems across the entire product lifecycle. It ensures that changes are properly documented, approved, and implemented to minimize disruptions and maximize business value.