November 2, 2025
November 2, 2025
Everyone wants a “smart factory.” But here’s the truth: smart doesn’t automatically mean trusted.
Before a system earns the right to guide real-time decisions on your manufacturing floor, it needs to prove itself.
And that journey isn’t about technology first, it’s about people.
Here’s a 3-stage roadmap to adopting smart manufacturing that actually sticks:
Every transformation starts with belief, not in machines, but in people.
You need respected leaders within your plant or organization to take the first steps.
Their credibility makes others willing to explore new systems. When they say, “Let’s test this,” others follow.
Don’t jump straight to predictive alerts. Instead, test the system where it matters: understanding the past.
Connect SCADA or IIoT data securely. Ask the system:
⇨ “What was happening at time T?”
⇨ “Could this have been flagged earlier?”
⇨ “What caused this failure?”
If the system can help diagnose issues after the fact, it earns the right to inform real-time thinking.
Once the system earns trust, it can evolve into a smart alerting engine.
But be careful, alerts must be rare and relevant.
They must integrate with existing work systems. People should see an alert and know exactly what to do next.
That’s when smart becomes sustainable.
Kudzai Manditereza is an Industry4.0 technology evangelist and creator of Industry40.tv, an independent media and education platform focused on industrial data and AI for smart manufacturing. He specializes in Industrial AI, IIoT, Unified Namespace, Digital Twins, and Industrial DataOps, helping digital manufacturing leaders implement and scale AI initiatives.
Kudzai hosts the AI in Manufacturing podcast and writes the Smart Factory Playbook newsletter, where he shares practical guidance on building the data backbone that makes industrial AI work in real-world manufacturing environments. He currently serves as Senior Industry Solutions Advocate at HiveMQ.