09/18/2026
Your Factory Has 20,000 Tags. How Many Does Your AI Actually Need?
More industrial data doesn't automatically mean better AI.
Before using thousands of PLC, DCS, SCADA and historian tags, first ask:
→ Is the tag relevant to the use case?
→ Is the data reliable and complete?
→ How often is it changing?
→ Does enough historical data exist?
→ What asset and process does it belong to?
→ Which other tags are related to it?
For a pump failure prediction project, 20,000 tags may exist—but only a focused set of pressure, flow, temperature, vibration, motor current, speed and operating-history signals may actually matter.
The goal isn't to give AI more data.
The goal is to give it the right data, with the right context.
Problem → Use Case → Asset → Tags → Data Quality → Context → AI
That's where industrial data engineering becomes critical.
Synctel Technologies
Zechrome Technologies