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As manufacturers work to modernize their operations, they face a new paradox: data is everywhere, but the expertise to use it effectively is vanishing. With seasoned workers retiring and fewer experts available to make sense of growing machine data, factories risk falling behind, unless they find new ways to scale operational know-how.

 

This ebook outlines how Agentic AI can bridge the divide between legacy and next-gen systems, turning raw data into real-time guidance that helps every factory role, from operators to executives, make better decisions, faster.

You’ll explore how AI can:

 
  • Capture and scale tribal knowledge to offset workforce shortages
  • Turn dashboards into action with digital agents that guide in real time
  • Speed up root cause analysis and reduce downtime without ripping and replacing existing systems
  • Use tools like dashboard vision to unlock value from the infrastructure you already have
  • Deliver results at scale, with use cases showing 2x OEE, 75% reduction in downtime, and over $10M in savings

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About the author

Andrew Scheuermann, CEO of Arch Systems

Andrew is working with top-tier global manufacturers to transform electronics and discrete manufacturing. Previously named Forbes 30 under 30, Andrew has published over 20 scientific papers in the fields of semiconductor electronics, electronics manufacturing, and renewable energy. He holds a Ph.D. in Materials Science from Stanford where he fabricated semiconductor machines and made record breaking semiconductor chip designs for artificial photosynthesis.

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