Example Concept: Edge computing involves deploying computational resources at or near the data source, allowing edge devices to process data locally. This reduces the need for constant cloud communication, enabling faster decision-making and minimizing network congestion. Techniques such as local data filtering, aggregation, and running lightweight machine learning models on edge devices are commonly used to enhance real-time processing capabilities.