Cognitive Decision Support System in IoT Applications

The value of data from IoT systems can only be realized when intelligence is applied. There is a need to bring intelligence to data using predictive and cognitive analytics by leveraging machine self-learning and the ability to propose solutions with minimal human intervention. A cognitive system is a technology that emulates human-like abilities to process data and learn from it. Cognitive computing technologies, in combination with data produced by connected devices and their actions, allow the design of Cognitive IoT (CIoT). This paper proposes processing complex data sets in CIoT, including structured and unstructured data. With machine learning techniques, cognitive IoT systems gather data from multiple sources and provide decision support with accurate classifications and predictions for various phenomena.