The powerful part of IoT is its ability to read data provided by various sensors, make sense of it, and then act on it. This is where intelligence comes into picture.

A typical flow would be as follows:

The data originates at the sensors and then is saved to the Storage. The huge sets of data in Storage are then cleaned and normalized and put into a Big Data system. Then Machine Learning is done on top of this data and, based on the derived data models, we act on the results using Artificial Intelligence.

Using technologies such as machine learning, we perform various analyses on the data. Analysis can range from simple predictions to understanding users, behavior based on their interaction with the sensors. Then, using these predictions, we can propose possible automations to the user. Apart from pattern recognition, we can also perform cross-sectional data analysis, such as the time versus power consumption of a specific device. If we see any anomaly in that data, we can alert the users.