Firms can use edge computing and AI to deliver real-time, context-aware experiences in environments with limited or unreliable connectivity like disaster zones, remote industrial sites, and tactical military bases. Developing and deploying intelligent applications for the disconnected edge has challenges such as the need for autonomous operation, local data processing, and resilient architecture. Best practices include designing self-contained AI models, efficient data management, robust resilience strategies, and tailored deployment. Software development leaders can use this report to understand how to build systems that are reliable, secure, and effective in the most challenging edge conditions.