In state and local agencies, centralized IT teams often manage networks in fundamentally different yet fluid ways, with inconsistent network visibility and decision-making authority. It’s a complex, inefficient system that has an array of drawbacks, including slow IT rollouts and implementations. Agencies are less inclined to modernize, to pursue innovative strategies that ultimately boost user experiences.
But an AI-powered, self-driving network can change that. It relies on AIOps, or AI for IT Operations, and uses sensors built into a network itself. The system identifies and predicts performance issues and responds with either autonomous or recommended fixes. IT teams receive continuous, real-time insights into the user experience so they can prevent many problems from ever happening — trouble tickets from ever materializing. Humans play a key role in a self-driving network but are relieved of operational burdens, said Ben Caruso, HPE Networking’s Field CTO for State & Local Government.
Such modernization, he said, “is about improving experiences for users and operators, automating processes and delivering real financial value — all while meeting cybersecurity and compliance standards.”
In this video interview, Caruso explains how self-driving networks can transform the status quo. Topics include:
- Specific drawbacks of more traditional network management
- How self-driving networks operate, and the benefits they offer
- Use cases for AI-driven network management