Hybrid edge-cloud computing is revolutionizing data processing by integrating edge and cloud computing.
Hybrid systems distribute computational tasks across edge devices and the cloud, reducing latency, enhancing security, and optimizing bandwidth usage.
Intelligent workload distribution categorizes tasks based on urgency and complexity, with edge devices handling real-time data analysis and cloud systems providing deeper insights.
Artificial intelligence plays a pivotal role in optimizing hybrid systems through resource prediction and dynamic allocation, AI-driven threat detection, and AI-powered orchestration tools.