Building AIoT Systems Around Real Problems

One mistake I see in discussions around emerging technology is starting with the technology.

"We should use AI."

"We should use IoT."

"We should build a smart platform."

But developers should start with the problem.

For example:

Equipment fails unexpectedly.

Now we can ask what information would help.

Maybe temperature and vibration data.

Then:

We don't know where expensive assets are.

Now we might need location tracking.

Or:

Environmental conditions aren't being monitored continuously.

Now connected sensors make more sense.

The architecture should emerge from the problem.

This also makes it easier to measure whether the system worked.

Instead of:

"We deployed AI."

You can say:

"We reduced the time needed to identify equipment problems."

That's a much more meaningful engineering outcome.