Hewlett Packard Enterprise has introduced significant advancements to its HPE Juniper Networking portfolio, enhancing the AI-native Mist platform to deliver agentic AIOps with more autonomous, intelligent, and proactive network operations. These latest updates include AI-powered troubleshooting, expanded self-driving actions, a new Large Experience Model (LEM), and advanced AIOps features for data centers. Collectively, these innovations aim to simplify IT complexity and ensure seamless digital experiences from client to cloud.

To strengthen its next-generation strategy, HPE continues to expand GreenLake Intelligence, which applies specialized AI agents across a multi-layered IT architecture. This approach enables real-time problem-solving, proactive optimization, and smarter decision-making spanning networking, storage, and compute. By embedding agentic AI directly into Juniper Mist, HPE is shifting IT operations from reactive management to proactive self-driving performance.

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“Today’s networks must do more than connect they must understand, adapt and act,” said Rami Rahim, EVP, president and general manager, HPE Networking. “With these new digital experience twin and agentic AI capabilities in Juniper Mist, we continue to turn the network into a proactive partner for IT, capable of solving problems before they impact users. This is a major leap toward truly self-driving operations, helping our customers simplify complexity, reduce costs, and deliver exceptional digital experiences at scale.”

Over the last decade, HPE Juniper Networking has led the industry shift toward cloud-native and AI-driven self-operating networks. With Marvis AI at its core, the platform analyzes telemetry across wired, wireless, WAN, and data center environments, then creates automated workflows to optimize efficiency. Additionally, its API-driven model seamlessly integrates with platforms like Zoom, Teams, and ServiceNow to resolve root causes faster.

Building on this foundation, HPE has introduced several key innovations:

  • Enhanced Conversational AI: Marvis AI now provides real-time troubleshooting with expanded conversational capabilities, powered by agentic AI.
  • Expanded Self-Driving Actions: The Marvis Actions dashboard autonomously resolves a wider range of issues such as port misconfigurations, hardware non-compliance, and capacity problems while still giving IT teams full oversight.

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  • Generalized Large Experience Model (LEM): Unique to HPE, LEM analyzes billions of data points from collaboration apps like Zoom and Teams to predict and resolve performance issues. With Marvis Minis, it can simulate future user experiences and take preventive actions before users even log in.
  • AI for Data Center Operations: By integrating with Apstra’s contextual graph database, Marvis AI extends intelligence into the data center, enabling continuous validation and autonomous service provisioning.

Industry analysts highlight the significance of these advancements. “Networks are more distributed and complex than ever, yet 93 percent of organizations say they’re critical to business success. Operations teams need tools that speed resolution, boost efficiency and ensure user experience at scale,” said Bob Laliberte, principal analyst at theCUBE Research. “With its latest advances in agentic AI and GenAI, powered by Marvis, HPE is delivering real autonomous capabilities that enable predictive intervention, letting ops resolve issues before users even notice.”

With these latest upgrades, HPE reinforces its leadership in AI-powered networking. By uniting AIOps, agentic AI, and full-stack observability, the company empowers enterprises, cloud providers, and telcos to achieve higher efficiency, greater reliability, and superior digital experiences at scale.

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