The integration of AI-driven analytics and orchestration into network management is revolutionizing how organizations handle complex processes like resource provisioning, security policy deployment, continuous monitoring and remediation. AI-powered systems can analyze vast amounts of network data in real-time, identifying patterns and making decisions that would be impossible for humans to process at the same speed. This capability allows for the automated provisioning of resources, ensuring that network capacity is always aligned with current demands, reducing bottlenecks, and optimizing performance across the board – from local enterprise and campus networks to wide area and metro networks.
Cloudly team has been working on AI-driven orchestration with an open network architecture that simplifies the deployment and management of both Wi-Fi and private 5G networks. Our engineers have been working on projects like LF open_mplane and Magma. Automated network orchestration and management reduces human error and ensures that security protocols are consistently enforced, protecting the network from evolving threats. Continuous monitoring powered by AI enhances visibility into network operations, allowing for proactive maintenance and quicker response times to potential issues. By automating these end-to-end processes, organizations can achieve greater efficiency, reduce operational costs, and maintain a more secure and resilient network infrastructure.