Addressing the convergence of edge computing and AI, this session explores decentralized AI architectures, edge AI applications in IoT devices, and real-time data processing at the network edge. Discussions will cover challenges in latency-sensitive applications, resource-constrained environments, and security considerations. Edge computing enhances AI capabilities by enabling faster response times, reducing bandwidth usage, and ensuring data privacy compliance. By exploring advancements in edge AI technologies, this session aims to facilitate the deployment of intelligent edge solutions, improve operational efficiency, and support scalable AI implementations in distributed environments