The term Internet of Things or “IoT” was initially invented in 1999 to promote RFID technology. However, the popularity of the term IoT didn’t accelerate until 2011, with mass market adoption in 2014 following the annual Consumer Electronics Show (CES) in Las Vegas taking place under the theme of IoT. Below, we take a look at some more of the buzzwords associated with IoT.
In computer science, the term artificial intelligence (AI) refers to any human-like intelligence exhibited by a computer, robot, or other machine. In popular usage, artificial intelligence refers to the ability of a computer or machine to mimic the capabilities of the human mind—learning from examples and experience, recognizing objects, understanding and responding to language, making decisions, solving problems—and combining these and other capabilities to perform functions a human might perform, such as greeting a hotel guest or driving a car.
The on-demand delivery of IT resources over the Internet with pay-as-you-go pricing. Instead of buying, owning, and maintaining physical data centres and servers, you can access technology services, such as computing power, storage, and databases, on an as-needed basis from a cloud provider like Amazon Web Services (AWS).
Industrial Internet of Things (IIoT)
The extension and use of the internet of things (IoT) in industrial sectors and applications. With a strong focus on machine-to-machine (M2M) communication, big data, and machine learning, the IIoT enables industries and enterprises to have better efficiency and reliability in their operations. The IIoT encompasses industrial applications, including robotics, medical devices, and software-defined production processes.
Smart solutions is a general term for systems combining innovative technologies, both in terms of hardware (Internet of Things) and software. They are widely applied in many fields of life – starting from smart offices, cars, and finishing on cities. This wide application range is obtained by means of various sensors. The available functionalities are not limited to the measurements only and collecting varied data, but also their visualisation and steering the respective equipment, which leads to the improvement of conditions and optimisation of the processes in organisations.
IoT data analytics is the analysis of huge data volumes generated by connected devices. Organisations can derive a number of benefits from it: optimise operations, control processes automatically, engage more customers, and empower employees. The combination of IoT and data analytics has already proven to be beneficial in retail, healthcare, telematics, manufacturing, and smart cities. However, its true value for organisations has yet to be fully realised.
IoT Endpoints are the devices that are monitoring a service, process, or machine, by collecting data and sending it back to be analysed. They are the leaves at the end of the IoT tree hierarchy. Some definitions of IoT Endpoint also include IoT Agents that are consolidating data from a group of devices and even IoT Gateways that are managing a team of IoT Agents.
A general term used to describe programs that operate and control computers and other devices. Software can be divided into applications, operating systems, and middleware (which exists between the application and operating system). IoT middleware acts as an interface between various IoT components to enable communications.
Look out for part 3 next week!