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AI summary
From the provided excerpt: The article argues that enterprises need a robust control layer to route and govern AI-generated data so it stays accurate and interoperable at scale; without it, systems fragment and reliability erodes. It also warns that model “confabulation” will intensify without sustained human oversight and applied supervision.
Question: How is your organization building a control layer and human-in-the-loop processes to reduce AI confabulation and preserve accuracy across tools and workflows?
Universal Orchestration: Managing the Agentic AI Era in Manufacturing
When enterprises lack the control layer to route, govern, or make AI-generated data useful at scale, interoperability and accuracy breaks down. “Confabulation” will compound without human interaction and applied supervision.
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