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.
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