How are small-to-medium manufacturers realistically implementing AI with legacy PLC systems when the ROI case requires explaining neural networks to a plant manager who still uses paper logbooks?

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Hey there! I&#39;m a plant manager at a small manufacturing facility, and honestly, I&#39;m feeling a bit overwhelmed. We&#39;ve got these legacy PLC systems that have been running our production lines for years, and now everyone&#39;s talking about implementing AI. The thing is, I&#39;m still using paper logbooks to track everything - it&#39;s what I know and trust.My team keeps showing me ROI calculations and talking about neural networks, but it all sounds like tech jargon to me. I need to understand how this actually works in the real world. How are other small manufacturers like us actually getting AI to work with our old equipment? What&#39;s the practical approach that doesn&#39;t require me to become a data scientist overnight?I want to know about real examples where people have successfully added AI to legacy systems without tearing everything down. How do you explain neural networks in terms I can actually understand - maybe using analogies that make sense in a manufacturing context? And most importantly, how do you prove the ROI to someone like me who&#39;s skeptical about moving away from paper-based systems that have worked fine for decades?

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How are small-to-medium manufacturers realistically implementing AI with legacy PLC systems when the ROI case requires explaining neural networks to a plant manager who still uses paper logbooks?

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