Smart Diagnostics with AI-Powered Networking
Root cause diagnostics and predictions as a service
Implementing the Solution
The Challenge
Achieving complete network visibility across diverse domains, from the customer LAN through the CSP network to cloud applications, remains a significant hurdle. Service providers struggle to pinpoint connectivity issues affecting end-users quickly and efficiently. Traditional methods often require deploying additional software agents, increasing complexity and cost.
Our Approach
RAD’s solution delivers end-to-end network visibility through an intuitive dashboard that identifies service connectivity issues, their root causes, and troubleshooting steps in plain language. Using AI/ML-driven analytics, it provides actionable insights to enhance performance and reliability.
Your Benefit
In addition to optimizing first call resolution time for service desk reps, the solution leverages the existing installed base of network edge equipment, eliminating the need for software agents, and includes an optional self-service portal to empower enterprise customers with greater control and independence.
RAD’s Solution Highlights
from the customer LAN through the CSP network, to the cloud where applications reside
service connectivity issues affecting users, end-to-end
presents problem, cause, and troubleshooting in plain language
the existing installed base of network edge equipment; no need for software agents
Ensure seamless user experience
RADinsight SD tracks performance across the entire network end-to-end to. Employing advanced AI and ML, it predicts and prevents network disruptions before they impact users and generates tailored reports with actionable data to meet unique business and operational needs.
