AI + IoT Is Really a Systems Problem

I used to think of AIoT as:

AI + IoT = AIoT

Which is technically true but doesn't tell you much.

A real system might look like:

Physical environment
↓
Sensor
↓
Device
↓
Network
↓
Message broker
↓
Data platform
↓
AI
↓
Application
↓
Human

Now imagine something goes wrong.

The sensor might fail.

The network might disappear.

The message might be duplicated.

The database might reject something.

The model might make a bad prediction.

The UI might display misleading information.

Suddenly you're dealing with a distributed systems problem, a data problem, an ML problem, and a hardware problem at the same time.

That's what makes AIoT interesting.

The model is only one piece of the puzzle.