HPE Networking General Session
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Hewlett Packard Enterprise Company (HPE) HPE Networking General Session summary

Event summary combining transcript, slides, and related documents.

Logotype for Hewlett Packard Enterprise Company

HPE Networking General Session summary

22 Jun, 2026

Strategic vision and industry context

  • AI is fundamentally transforming enterprise operations, placing unprecedented demands on network infrastructure and making the network a strategic platform for innovation and scale.

  • Networks must evolve from static, manual systems to AI-driven, self-optimizing, and self-healing platforms to meet real-time, high-density, and security requirements.

  • Security and user experience are now inseparable, with zero trust and AI-driven anomaly detection essential for protecting users, applications, and data.

  • Leading organizations are modernizing their networks to unlock new business models and maintain competitive advantage in the AI era.

  • The convergence of networking, security, and AI is driving a new era of self-driving, autonomous IT infrastructure.

Product innovation and platform integration

  • AI-native hardware, software, silicon, and agentic AIOps are integrated into a closed-loop system for unmatched speed, resilience, and user experience.

  • Self-driving capabilities are delivered through HPE Aruba Central and HPE Mist, with aggressive cross-pollination of features and hardware, including dual-platform access points and upcoming support for CX switches on Mist.

  • The Marvis AI engine, now available across both platforms, enables autonomous issue detection, root cause analysis, and remediation, reducing mean time to repair and enhancing user satisfaction.

  • Microservices and a common agentic AI framework allow rapid deployment of innovations and consistent self-driving experiences across platforms.

  • Industry recognition includes leadership in the Gartner Magic Quadrant for wired, wireless, and data center networking.

Customer case studies and real-world impact

  • Ohio State University leverages AIOps and self-driving automation to manage 100,000+ devices and deliver seamless experiences for 200,000+ users during major events, reducing issue resolution from hours to minutes.

  • Royal Bank of Canada integrates AI and network security to protect sensitive data across 4,000 endpoints, using telemetry and AI frameworks for threat detection and operational efficiency.

  • Sentara Health relies on resilient, real-time networks to support patient care and AI-driven clinical applications, with a focus on scalability and reliability.

  • The Walt Disney Company uses HPE Mist and Apstra to support global, high-volume media production, prioritizing speed, simplicity, and invisible infrastructure for creative teams.

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