The huge amount of data continuously collected via billions of sensors and devices that comprise the IoT can pose a serious threat for organizations that depend on primitive intelligence and analytics tools. Since the beginning, these devices have not been much effective and needed central servers to process data, mostly cloud-based servers (public) which could be far away. Currently, however, for the same price, you can get more computing power, making way for AI-powered, and edge located devices that make their own commands. As per the experts, by 2025, 75% of organization-generated data would be created and processed by an edge. From driverless cars capable of processing and analyzing real-time traffic data (without cloud), to factory systems that can process sensor data for future maintenance. This rapid development in the age of smart devices at the edge will provide vast opportunities in businesses and for users. The capability to create automated and store data for analysis linked to the source is most likely to give operational advantage, produce new and effective services, enhance scalability and transfer data away from central servers. Along with this, the fast edge development requires that security leaders adhere to discipline even though the distribution of data that seems to be on the horizon. It must be important for the user to understand the relation between edge and IoT (Internet of Things), the edge allows computation to run on device/ local network rather than sending data to be analyzed on public cloud servers or central data centers, which is time-consuming and also costs resources. After that, the analyzed data can be sent to its endpoint. Hence, edge computing lowers the bandwidth risks and analyses data within prox ..
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