IoT Analytics involves the use of various data analysis techniques, such as data mining, machine learning, and artificial intelligence, to identify patterns, detect anomalies, and make predictions based on the data collected from IoT devices.
These insights can be used to optimize performance, improve efficiency, and reduce costs across a wide range of industries, including manufacturing, healthcare, transportation, and energy.
IoT Analytics Platforms
IoT Analytics platforms typically provide a range of tools and capabilities for data collection, storage, processing, visualization, and reporting, as well as integration with other systems and applications.
Some popular IoT Analytics platforms include AWS IoT Analytics, Microsoft Azure IoT Analytics, and IBM Watson IoT Analytics.