AIoT is a smart technology that is enabled by connecting the network of devices with a powerful network such as the 5G network. By linking AI along with IoT and machine learning, we can correct results from the right conclusions through large quantities.
In a very simple way, AIoT can be denoted as a combination of AI(Artificial Intelligence) and IoT(Internet of Things), below is an illustration of the same, AI + IoT = AIoT
Both AI and IoT are two independent technologies. If AI is the brain of the system then IoT is the nervous system. In which AI makes the decision to control the entire system. IoT is transformed by three main technologies in terms of AIoT such as AI,5G Networks, Big Data.
There are 4 major AIoT segments namely: Wearables, Smart Home, Smart City, Smart Industry.
Figure 1: Elements of AIoT
As shown in Figure 1, in this process data is captured/collected using sensors installed in IoT enabled devices. Multiple data can be collected as for like GPS, humidity, temperature, etc for collection of data.
Once data is collected it is stored and transmitted in the database(cloud) for processing and analysis. In the processing phase, data extraction, data cleaning, data conversion is done into the standard format by applying an algorithm for deriving insights.
Data prediction is another phase in which the data, machine learning algorithm helps in predicting future events. Here, is the learning phase. Another and last phase includes the action-oriented which consists of generating the data visualization of massive processes to datapoint.
Datapoints and predictions help in making real-time action, for eg: Visualizing a plot is beneficial to creating the report in detail. Here, the report created on the basis of the plot is the data points that are used for the conclusion of the last phase of action.
What can AIoT do and why is it important?
AIoT can provide value-adding services in data analytics, can create value out of the IoT-generated data.
By using AIoT technology businesses can expand, give the best experience to customers with an increase in the operational efficiency of the product, increases the effectiveness in terms of quality, scalability, and maintenance, improve human-machine interaction, upgrade data management systems.
Trending examples of AIoT
One of the best trending real-time examples is realme AIoT (Customised Tech-Lifestyle Brand)
From voice-controlled watches to products like smart cameras, smart headphones, fitness bands which are the latest trendsetting brand, next-gen products, the below image illustrates the smart AIoT products launched by realme.
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