In traditional manufacturing data analytics, when a problem arises, the frontline team forwards it to corporate data scientists and engineers.

These specialists then collect data, run machine learning models, and eventually deploy a solution. However, this process is slow and inadequate to meet the proliferation of advanced data analytics use cases in manufacturing.

The disconnect between frontline Subject Matter Experts (SMEs) and the data teams causes delays, often requiring days or weeks to generate insights.

SMEs, who deeply understand the processes, need the ability to analyze data and ask questions directly in real-time.

This is where Agentic AI for manufacturing data analytics comes into play.

Instead of relying on a central corporate team, Agentic AI enables different AI agents to communicate and collaborate to solve complex tasks in real-time.

It empowers SMEs to perform their own analytics, drastically reducing response times.

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