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AI Agents vs. AI Copilots: What They Are and When to Deploy Them

Guardado en:
Publicado en:Machine Design (Aug 18, 2025)
Autor principal: Kuntz, Chris
Publicado:
Endeavor Business Media
Materias:
Parameter identification
Workers
Agents (artificial intelligence)
Technology adoption
Digital transformation
Trouble shooting
Decision making
Workforce
Manufacturers
Complexity
Automation
Manufacturing
Generative artificial intelligence
Efficiency
Process parameters
Skills
Labor productivity
Large language models
Computer aided engineering > CAE
Artificial intelligence
Acceso en línea:Citation/Abstract
Full Text
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Resumen:When determining which approach best suits a manufacturing operation, several factors should be considered, including process complexity and variability; risk tolerance and safety; workforce skills and readiness; and integration requirements. Think of them as intelligent digital assistants providing guidance, support, insights and recommendations, while leaving final decisions and actions to human operators. In manufacturing contexts, AI agents might autonomously monitor equipment health and trigger maintenance workflows, proactively identify training needs for frontline workers, analyze production data to automatically adjust process parameters, independently manage inventory replenishment based on usage patterns, identify quality issues and initiate corrective actions or orchestrate complex workflows across multiple systems.
ISSN:0024-9114
1944-9577
Fuente:ABI/INFORM Global