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   What You'll Learn   

  • What Conversational AI is and how it works (RAG)  
  • Example questions across MES, ERP, SCADA, and sites  
  • Where Predictive, Vision, and IIoT control fit instead  
  • Limits: no forecasting, vision, or auto-optimization  
  • How to set expectations, guardrails, and KPIs  
  • Quick-start speed: insights in under an hour

    Why It Matters

   
  • Faster, self-serve decisions without IT backlogs  
  • Clear boundaries reduce AI hype and risk  
  • Right tool for questions vs. predictions vs. control  
  • Measurable win: time-to-insight cut from weeks to minutes  
  • Cross-system answers spanning lines, shifts, and locations

   What You Can Share with Others    

  • CAN vs. CANNOT quick-reference sheet  
  • AI types table: Conversational, Predictive, Vision, IIoT control  
  • Role-based question library with examples  
  • Expectation-setting analogies and talk track

 

 

Download the executive brief

Learn exactly where Conversational AI shines—and when to use other AI.  

FAQ

Q: What is Conversational AI in manufacturing? 
A: A smart data assistant that retrieves and summarizes from existing systems via natural language.  

Q: Does it train on our private data? 
A: It retrieves from structured sources (ERP, MES, logs) rather than training on your data.  

Q: Can it predict failures or optimize processes? 
A: No—use Predictive AI or IIoT control for forecasting and automated adjustments.  

Q: Will it inspect images or X-rays? 
A: No—use Computer Vision AI for visual defect detection and inspection.  

Q: How fast to value? 
A: Set up is lightweight; teams can get insights in under an hour.  

Q: Where do the answers appear? 
A: In your everyday channels—chat, email, or embedded in apps.