FREMONT, CA: The internet of things (IoT) fundamentally concerns sensors implanted into different devices, which enable them to stream data to different locations. The objectives behind transmitting sensor data are countless, but the central aim is to help the users analyze and utilize data for their benefit. Every IoT-driven device, irrespective of its disparities, starts with transmitting sense for storage and is subsequently analyzed and acted upon by using artificial intelligence (AI).
The introduction of IoT in the world of technology took place when the three significant steps--sense, transmit, and store--became vital for every sector. The chance of reducing manpower using machines was fascinating, and it gave rise to the demand of technology-operated devices. The long-existent capability of sense, transmit, and the store was commoditized and offered to a wide range of customers by mingling it with standard coding for the long run.
Data stored in the device using the three steps of sense, transmit, and store is ready to be analyzed and acted upon by AI and machine learning. The action can range from a physical effect of sending an ambulance to an accident site, to providing relevant information like a message alert about an upcoming event. But it all depends on its previous step that is analyzing the data; therefore, AI serves as the crucial factor to determine the service of IoT.
ML entitles a software agent that can go through the data and find out patterns to modify how it is supposed to analyze it further. In various websites, the technology provides recommended lists by keeping foot-prints of the choices the user has made before. Similarly, the music applications often show auto-tuned playlists, which are created through ML. When ML is employed to analyze something, it adjusts the actions and displays its worth according to the need of the user.