Presented by Logan Donielson, Sr Sales Engineer • HPE
Traditional networks were designed for human troubleshooting. As environments scale and expectations rise, reactive operations and manual workflows no longer meet the needs of modern enterprises.
AI-Native Networking represents a fundamental architectural shift — where AI is not layered on top of infrastructure, but built into its foundation. By combining real-time telemetry, cloud-native microservices, and continuously trained models, AI-Native platforms move IT from reactive firefighting to autonomous operations.
The result: measurable improvements in user experience, reduced operational overhead, faster root-cause resolution, and infrastructure that continuously optimizes itself.
This session explores what it truly means to be AI-native, how it differs from legacy “AI-enhanced” approaches, and the business outcomes organizations are achieving by embracing this new model.