👉 Tagged computing is an advanced paradigm that integrates artificial intelligence (AI) and the Internet of Things (IoT) with a structured, labeled data framework to enhance decision-making processes and automate tasks. In this model, data from IoT devices is tagged with metadata or labels that describe the context, attributes, and relevance of the information. This structured approach allows AI algorithms to efficiently process, analyze, and learn from large volumes of heterogeneous data generated by connected devices. By leveraging these labeled datasets, tagged computing enables more accurate predictions, real-time insights, and intelligent automation across various applications, from smart cities to industrial IoT, thereby optimizing operations and improving user experiences.