For example, Gen-AI might provide a summary of potential issues (e.g., this could be why a machine broke down and here are several ways to fix it), whereas agentic AI can pinpoint a specific problem and suggest solutions (e.g., this is why the machine broke down and here’s the exact part you need to resolve it).
This capability is particularly beneficial in manufacturing, where identifying and resolving issues promptly can significantly impact productivity and efficiency.
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Article Source
https://www.smartindustry.com/artificial-intelligence/article/55283282/agentic-leaps-past-gen-ai-in-its-ability-to-solve-production-plant-problems
