The Role of Edge Computing in Real-Time Analytics: A Cloud-AI Hybrid Approach
Srinivas Sahan Kolluri · International Journal of Innovative Research in Science Engineering and Technology · 2025
Edge computing integrated with cloud-based AI systems represents a transformative approach to handling real-time data processing and analytics across diverse industries. This article explores practical implementations of edge-cloud hybrid architectures through real-world business cases, demonstrating solutions for manufacturing, retail, smart cities, autonomous vehicles, and industrial automation. The article showcases how organizations can effectively leverage edge computing to address critical business challenges by examining specific technical implementations, development tools, and deployment strategies. The article encompasses detailed code implementations, resource management techniques, and monitoring solutions while addressing key network reliability, security, and resource optimization challenges. Through a comprehensive analysis of implementation examples and industry practices, this study illustrates how edge-cloud integration enables organizations to achieve enhanced operational efficiency while maintaining robust security and reliability standards