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contextual_ai [2026/06/14 12:31] – [The Same Outcome. A Very Different Approach.] wikiadmincontextual_ai [2026/06/21 17:37] (current) – [Final Thoughts] wikiadmin
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 The LinkedIn demonstration is impressive. {{  pasted:20260614-123104.png?300}} The LinkedIn demonstration is impressive. {{  pasted:20260614-123104.png?300}}
  
-It demonstrates that modern LLMs can assemble a sophisticated troubleshooting assistant capable of reasoning across historians, alarms, documentation, and process relationships.+It demonstrates that modern LLMs can assemble a sophisticated troubleshooting assistant capable of reasoning across historians, alarms, documentation, and process relationships. In this particular case the focus was an industrial boiler for steam generation.
  
 However, it also highlights an emerging problem: However, it also highlights an emerging problem:
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 ==== Step 1: Detect the Problem ==== ==== Step 1: Detect the Problem ====
  
-Operator asks:{{pasted:20260614-123016.png}}+Operator asks:
  
 > "Have there been any steam temperature anomalies in the last 5 hours?" > "Have there been any steam temperature anomalies in the last 5 hours?"
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 > **Contextual AI: intelligence that engineers can understand.** > **Contextual AI: intelligence that engineers can understand.**
 +
 +[[Machinery Fault Investigation]] Coming Soon
contextual_ai.1781454688.txt.gz · Last modified: by wikiadmin

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