HPE launches agentic AI to transform Juniper network operations
HPE has introduced new agentic artificial intelligence (AI) capabilities across its HPE Juniper Networking portfolio, aiming to advance self-driving network operations and further autonomous management for enterprise IT.
The announcement features enhancements to the Mist platform, including agentic AI-powered troubleshooting, expanded self-driving network actions, a Large Experience Model (LEM) for predictive analysis, and AI-driven capabilities for data centre operations. These developments are intended to simplify IT management and optimise user outcomes across various network environments.
AI advancements
The new features support HPE's GreenLake Intelligence approach, leveraging agentic AIOps and specialised AI agents within a layered IT architecture. This structure is designed to enable real-time problem-solving, proactive system optimisation, and informed decision-making for networking, storage, and compute workloads.
"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."
The Marvis AI assistant in the Mist platform introduces conversational troubleshooting, supplying tailored insight and supporting real-time diagnosis of network issues across wired, wireless, wide area network (WAN), client, and application environments. The interface's expanded self-driving actions now support autonomous corrections for various problems, including misconfigured ports, capacity shortfalls, and hardware non-compliance - with oversight by IT teams.
Large Experience Model
The Large Experience Model (LEM) is HPE Juniper Networking's proprietary AI engine, designed to analyse billions of data points from collaboration applications such as Zoom and Teams. The current release pairs LEM with 'Marvis Minis', digital twins that simulate user experiences. This setup allows for prediction of application performance and user-impacting issues, even without live application data.
When paired with the Marvis AI engine, these digital twins enable self-driving actions to optimise anticipated user experiences before users even access the network. In data centre environments, the Marvis AI assistant now integrates with Apstra's contextual graph database, offering insights and laying the groundwork for fully autonomous service provisioning and assurance. Marvis Minis also extend validation and application assurance to data centre networks.
Complementary IT management
HPE's agentic AIOps also integrate with HPE OpsRamp, which is designed to simplify hybrid, multi-cloud, and on-premises IT environments. OpsRamp facilitates observability and automates IT operations management, using workflows tailored for complex data centres.
The company points to its ability to apply AIOps and agentic AI across multi-vendor full stacks, integrating outcomes from networking, compute, storage, virtualisation, containerisation, and applications.
Industry perspective
"Networks are more distributed and complex than ever, yet 93 percent of organisations say they're critical to business success. Operations teams need tools that speed resolution, boost efficiency and ensure user experience at scale. For over a decade, HPE Juniper Networking solutions have pioneered the use of AI in network operations, accelerating the journey toward self-driving networks," 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."
The integration of agentic AI capabilities is the first to be announced for HPE Juniper Networking since HPE completed its acquisition of Juniper Networks in July. HPE states that these capabilities will reinforce its position in AI for networking, continuing a decade-long engagement in advancing network automation and intelligent management for enterprises, cloud providers, and telecommunications providers.
