Description

The Internet of Things (IoT) extends Internet connectivity beyond traditional devices such as desktop and laptop computers, smartphones, and tablets, to other devices that use embedded technology to communicate and interact over the Internet. IoT means that everyday physical objects, from vehicles to manufacturing equipment to hotel coffee makers all connected to the Internet, and can be connected to each other. The common characteristics of any IoT-connected device are the presence of: a unique identifier, an IP address, and Internet connectivity; the ability to emit and receive information; the ability to interact with other objects; and the ability to perform these functions without requiring either human-to-human or human-to-computer interaction.

Architecturally, an IoT deployment has three basic components: edge, network, and core. The edge is where the managed devices, “the things,” live. The things contain embedded intelligence that links them via the network to the core.

IoT is at the beginning stages of its growth. Because it offers the ability to capture and leverage data across virtually every aspect of human experience, the potential upside for IoT is enormous. What the majority of the world’s organizations that do not yet have IoT on the drawing board must figure out, is what IoT looks like, where it fits, and the real-world issues and benefits it delivers, as they weigh their decisions about whether (or when) to deploy IoT.

Self-aware machines and data networks can immensely improve companies’ productivity, and at any given point in time, the entire enterprise can be optimized to match the changes in the market. Other services that will become integrated into IoT platforms include operations management, ERP, and business management systems.

The complex network of sensors across IoT environments are powered by communication technologies to form a real-time data monitoring network. Real-time data of assets, machines, and devices are of immeasurable value.

Therefore, with the wide variety of information generated by connected devices and sensors, an engine that can mine the extremely large datasets to extract relevant information will drive the future of IoT adoption.

Analytics can derive insights through predicting, monitoring, and analyzing the collected data through efficient mining algorithms. Thus, it is expected to improve the efficiencies of, for example, inventory management, sales, and continuous monitoring of devices.

IoT is presenting Strong innovation and demand. More products and services are being fitted for IoT. They include vehicle telematics in trucks, product tracking alerts in truck containers, self-reporting vending machines that inform distribution, user-based car insurance, and real-time traffic information to GPS devices.