Description: Joint edge analytics refers to the ability to perform collaborative analysis on data that has been processed at the edge of the network. This approach allows edge devices, such as sensors and IoT devices, not only to collect data but also to perform real-time analysis, facilitating faster and more efficient decision-making. Unlike traditional analytics, which relies on sending large volumes of data to the cloud for processing, joint edge analytics enables data to be analyzed locally, reducing latency and bandwidth usage. This methodology is based on collaboration among multiple devices and systems, allowing the results of analyses to be shared and utilized by various entities or applications. Joint edge analytics is particularly relevant in environments where speed and efficiency are critical, such as manufacturing, healthcare, and smart cities. By integrating analytics capabilities at the edge, organizations can respond more agilely to changes in the environment and optimize their operations in real-time.
