Description: Edge computing enabled by AI refers to the integration of artificial intelligence technologies into devices and systems that operate at the edge of the network, meaning close to the data source. This architecture allows for local processing and analysis of data, rather than relying on centralized servers, which reduces latency and improves efficiency. By incorporating AI algorithms, these devices can make real-time decisions, thus optimizing performance and response to events. Edge computing enabled by AI is particularly relevant in a world where the amount of data generated by IoT (Internet of Things) devices is constantly increasing. This technology allows businesses and organizations to handle large volumes of data more effectively, facilitating applications in various areas, including industrial automation, healthcare, security, and transportation. Additionally, by processing data locally, privacy and security are enhanced, as the need to send sensitive information to the cloud is minimized. In summary, edge computing enabled by AI represents a significant advancement in how data is managed and utilized, allowing for faster and more efficient decision-making in a variety of contexts.
