Hewlett Packard Enterprise is deepening the integration of Juniper Networks’ portfolio into its ecosystem, enhancing the Mist AI platform with stronger data center controls, advanced troubleshooting, and broader visibility across enterprise environments.

Smarter Automation Through Mist AI

At the center of these upgrades is Mist AI alongside its intelligent assistant, Marvis. This system ingests telemetry and contextual data from Juniper infrastructure—spanning switches, routers, firewalls, wireless access points, and enterprise applications. The AI then processes this information to deliver actionable insights, predictive analytics, and automated workflows that can proactively address performance issues before they affect users.

According to HPE’s Jeff Aaron, vice president of networking product and solution marketing, Marvis is not static. It continuously refines its models by learning from telemetry across different domains, allowing it to provide faster resolutions and consistently improving the end-user experience from endpoint to cloud.

Conversational AI for Network Teams

One of the most notable changes comes with the Marvis Conversational Interface, now enhanced with generative AI. IT teams can directly query the system in natural language, asking questions like “What’s causing latency at the Orlando branch?” The assistant responds with contextual analysis, root-cause explanations, and recommended solutions.

This natural-language capability helps operations staff move beyond dashboards and manual correlation. Instead, they can rely on the AI to generate intelligent reports, link data across multiple systems, and even suggest corrective steps—all in plain English.

From Assistance to Autonomy

The latest release also extends Marvis Actions, which provides automated remediations for common network issues. Supported by a Human-in-the-Loop (HITL) framework, IT administrators can gradually allow Marvis to take more responsibility as confidence grows. Some of the automated tasks include:

• Fixing VLAN misconfigurations

• Isolating network loops by disabling faulty ports

• Bringing devices into compliance through upgrades

• Applying standard security or firmware policies

• Correcting stuck ports or misconfigured access points

Each automated fix is logged, validated, and tracked through the Marvis Actions Dashboard to ensure full auditability and transparency.

Extending into the Data Center

Beyond enterprise networking, HPE is extending Mist AI deeper into Juniper’s Apstra data center fabric. With access to Apstra’s graph database—which maps routers, servers, switches, links, services, and policies—Mist AI can now analyze relationships between data center components.

This allows the platform to deconstruct complex queries into smaller logical steps, pulling from multiple sources to deliver precise, actionable responses. Essentially, it bridges human intent with machine-level insight, offering a pathway toward autonomous data center operations.

The Big Picture

By embedding generative AI and stronger automation into Juniper’s Mist AI, HPE is positioning the platform as more than just a monitoring tool—it’s evolving into a decision-making system for enterprise IT. With the ability to converse, diagnose, and act, Mist AI could dramatically reduce manual workloads while improving reliability across both campus networks and large-scale data centers.

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