Under the hood of HPE's self-driving network

As modern networking environments grow in complexity, traditional reactive management models are becoming obsolete. This piece explores HPE’s self-driving network, a shift from manual infrastructure maintenance to an AI-native, autonomous system focused on user experience. By looking "under the hood," the article details how HPE integrates three core engines (data, AI, and automation) to create a unified, self-healing stack. 

The Data Engine leverages one of the world’s largest networking data lakes, utilizing Service Level Experience (SLE) telemetry to monitor actual user outcomes rather than mere device status. The AI Engine employs an agentic framework and Large Experience Models to perform root-cause analysis and predictive troubleshooting. Finally, the Automation Engine translates these insights into real-time remediation, using a human-centered design that allows IT teams to scale automation at their own pace. 

By combining a decade of real-world data with cloud-native architectures like HPE Aruba Networking Central and HPE Juniper Mist AI, HPE delivers a system that identifies and resolves issues before they impact users. This evolution marks a transition from managing connectivity to delivering guaranteed digital experiences.