Connecting a sensor to the internet is relatively straightforward.
Making sense of the data is significantly more difficult.
In an industrial setting, various physical devices might produce temperature, vibration, pressure, location, equipment status, production, or environmental data. The engineering challenge is to build a pipeline capable of transforming those signals into usable information.
A useful AIoT architecture can be viewed as six layers:
Physical Assets → Sensors → Connectivity → Data Platform → AI Models → Applications
