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HPE Networking • AI-Native Operations

HPE Self-Driving Networks

Networks that can observe, learn, optimize, and act.

Turn-key Technologies helps organizations modernize network operations with HPE self-driving networking capabilities across campus, branch, edge, and data center environments.

The network operating model for the AI era.

HPE is advancing self-driving networking through AI-native operations that continuously analyze network conditions, surface root causes, recommend or automate actions, and help maintain better user experiences.

What Self-Driving Means

Move beyond alerts toward autonomous network operations.

Traditional network management tells teams when something is wrong. AI-native networking goes further by correlating telemetry, user experience, topology, events, and historical patterns to help determine why an issue is happening and what action should come next.

 

Observe

Continuously collect and interpret network, client, application, and experience data.

 

Learn

Use AI-native insights and historical context to identify patterns and probable root causes.

 

Optimize

Recommend or automate changes that improve reliability, capacity, performance, and experience.

 

Act

Enable autonomous actions where supported and approved, reducing repetitive operational work.

HPE AI-Native Networking

Built across HPE’s modern networking platforms.

HPE’s self-driving strategy spans wired, wireless, WAN, security, and data center operations, bringing together AI-native capabilities across HPE Mist, HPE Aruba Central, Marvis AI, and the broader HPE Networking portfolio.

 

Marvis AI

Conversational assistance, proactive insights, root-cause analysis, recommended actions, and self-driving automation across supported network domains.

 

HPE Mist

AI-native operations for experience-first networking, with telemetry and automation across wireless, wired, WAN, security, and data center use cases.

 

HPE Aruba Central

Cloud-based network operations with expanding Marvis-driven insights, self-healing automation, and unified visibility across HPE networking environments.

Why It Matters

Reduce operational drag without
sacrificing control.

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Faster Troubleshooting

Correlate network signals and experience data faster so teams spend less time hunting for root causes.


Fewer Helpdesk Tickets

Proactive detection and remediation can help resolve network issues before users need to report them.


Better Experiences

Continuously evaluate service levels and user experience instead of relying only on device-level availability.


More IT Capacity

Shift repetitive operational work toward automation so internal teams can focus on higher-value priorities.

Proof of the Model

AI-native operations are already changing support outcomes.

HPE has published customer examples showing measurable reductions in service-desk demand through AI-driven automation.

~75%

fewer service desk tickets reported by the UK Ministry of Justice in an HPE-published example.

24/7

continuous telemetry and AIOps analysis across supported network environments.

AI-native

operations designed to detect, diagnose, and increasingly resolve issues autonomously.

Client→Cloud

visibility across campus, branch, edge, security, WAN, and data center domains.

Designed for distributed, experience-sensitive environments.

Enterprise Campuses

Improve wired and wireless experience visibility across large offices, headquarters, and multi-building campuses.

K-12 & Higher Education

Support dense device environments, campus-wide Wi-Fi, classroom connectivity, and lean IT teams across multiple facilities.

Healthcare

Help network teams identify performance issues quickly across clinical, administrative, and connected-device environments.

State & Local Government

Simplify operations across distributed offices, public facilities, and remote sites with centralized visibility and automation.

Data Centers

Apply AI-native operations and automation to increasingly complex data center networking environments and AI infrastructure.

Multi-Site Organizations

Standardize operations and troubleshooting across branches and remote locations without multiplying management overhead.

Regional Network Expertise

Full-Service HPE Networking Support Across Every Location.

Turn-key Technologies delivers the same integrated networking capabilities across New Jersey, New York, Pennsylvania, and Tennessee, from network design and deployment through physical infrastructure, optimization, and ongoing support.

AVAILABLE ACROSS ALL LOCATIONS

One technology partner.
The same capabilities
wherever you operate.

Wherever your organization operates, Turn-key Technologies can support the complete networking lifecycle.

How We Help

From network assessment to ongoing support.

Self-driving capabilities still depend on a sound network architecture, clean deployment, accurate telemetry, and proper operational design. Turn-key Technologies helps build that foundation.

01

Assess

Review existing wired, wireless, WAN, security, cloud, and operational requirements.

02

Design

Define architecture, platform requirements, integrations, licensing considerations, and rollout priorities.

03

Deploy

Implement network infrastructure, cloud management, configuration, testing, documentation, and integrations.

04

Support

Help maintain the environment, tune operations, evaluate automation opportunities, and support ongoing changes.

Contact Us

Ready to explore a self-driving network?

Start with an assessment of your current network, management platform, operational pain points, and automation goals. Turn-key Technologies can help map the path forward.

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