Introduction
As the demand for real-time data processing and AI-driven applications grows, traditional cloud-based architectures are facing new challenges. Latency, bandwidth limitations, and security concerns are driving the shift toward Edge AI, a technology that enables machine learning models to run directly on edge devices. With the rise of IoT, autonomous systems, and smart cities, Edge AI is becoming a game-changer in IT, offering faster decision-making and greater efficiency.
