HPE self-driving network.

Networks are now business‑critical, expected to deliver high performance, strong security and continuous availability, even as complexity increases, security threats grow and skills shortages put additional pressure on IT teams. Under these conditions, traditional network operations are increasingly reaching their limits.

Self‑driving networks are AI‑powered networks that largely monitor, optimise and heal themselves. Based on artificial intelligence (AI), machine learning (ML) and high‑quality real‑time data, they reduce operational complexity, increase reliability and provide lasting relief for IT teams.

• Fewer manual interventions
• Greater stability and security
• A network that acts proactively rather than reactively

As networks mature, the value they deliver increases—from simple data collection to meaningful insights and clear recommendations, and ultimately to AI‑driven root cause analysis and automated remediation. On this path towards self‑driving networks, HPE is currently operating at the “assisted” level, with a long‑term goal of fully autonomous, self‑remediating network environments.

AIOps (Artificial Intelligence for IT Operations), agent‑based AI and a microservices cloud continuously optimise network operations. Integrated directly into the network core, AI detects anomalies early, optimises performance in real time and resolves issues autonomously—often before users notice any impact at all. The result is stable networks, smooth user experiences and a noticeably lower operational workload.