Description: Sensor data analytics refers to the process of collecting, processing, and analyzing data generated by various types of sensors, which are devices capable of detecting and measuring changes in the physical environment. This analysis allows for the extraction of valuable information that can be used to make informed decisions. Edge inference, a key concept in this context, involves performing analysis and data processing directly on the device or in its proximity, rather than sending all information to the cloud or a central server. This not only reduces latency but also minimizes bandwidth usage and improves system efficiency. Sensor data analytics is essential in applications where speed and accuracy are critical, such as in industrial automation, healthcare, transportation, and smart cities. As sensor technology has become more accessible and advanced, the ability to analyze data in real-time has transformed the way organizations operate, enabling faster responses to changing conditions and optimizing various processes across different sectors.
