Information and Communication Technology Context Aware Computing and Its rising popularity?


Context Aware Computing and Its rising popularity?

What is Context Aware Computing ?

Context Aware Computing refers to computing architectures that take into account situational data about people, things, and surroundings, as well as places, in order to provide situation-centric services and information. CAC assists in improving the quality of communication with a large number of end users. CAC also aids in speedy decision-making at both the individual and corporate levels. This programme analyses, saves, and accumulates data before sending it across a network to offer critical context via an end device.

Context aware computing allows for quick decision making at both the organisational and individual levels. The sophisticated programme saves, examines, and gathers data. Furthermore, the data is transferred across a network that primarily transmits critical information via an end-user appliance.

How is Context Aware Computing is useful?

Contextual awareness refers to a computing system's ability to acquire, retrieve, and reason about the situational context in order to adapt to its applications. A context-aware system begins by gathering raw, low-level contextual input, interpreting it into a high-level interpreted context, reasoning the interpreted context to derive implications, and adapting the application behaviour based on the implications.

The growing use of mobile devices such as smartphones, tablets, and PCs, as well as the introduction of smart wearable devices, is expected to fuel demand for context aware computing. This is due to the fact that contextual awareness is a feature of mobile devices that works in tandem with location awareness.

Context-aware computing makes it easier to make quick decisions at both the individual and organisational levels. Data is saved, analysed, and captured using sophisticated software. It then sends this data through a network, which uses an end device to offer the appropriate context.

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Context Aware Computing : 30.11% CAGR

Projected Revenue: 258.21 billion from 2020 to 2027

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Conclusion: A context-aware system begins by gathering raw, low-level contextual data, translating it into high-level interpreted context, reasoning the interpreted context to derive implications, and adapting application behaviour based on the implications. The main goal of this computing pattern is to predict needs based on particular tendencies. These are used to improve the quality of engagement with a variety of different end users.

Published Date : July-2021