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Hewlett Packard Enterprise (HPE) is taking a bold step forward in AI-powered networking with the latest enhancements to its Juniper Mist platform, designed to deliver self-driving, autonomous IT operations. As networks grow increasingly distributed, hybrid, and cloud-native, enterprises face rising complexity in managing performance, efficiency, and user experience. HPE’s latest innovation leverages agentic AI, AIOps, and digital experience twinning to redefine enterprise networking.
At the core of this transformation is the Marvis AI engine, which now integrates enhanced conversational AI, predictive analytics, and autonomous remediation capabilities. By analyzing telemetry across wired, wireless, WAN, and datacenter operations, Marvis automates troubleshooting and speeds up root-cause analysis. This not only reduces downtime but also helps IT teams cut operational costs while ensuring seamless end-user digital experiences.
The newly introduced Large Experience Model (LEM) sets HPE apart in the AI networking space. By simulating and predicting user interactions across applications like Zoom, Microsoft Teams, and ServiceNow, LEM allows organizations to proactively optimize network performance before problems even arise. Coupled with Marvis Minis—digital twins that mimic user behavior—HPE enables AI-driven network automation and performance tuning at scale.
According to HPE executives, the vision is to transform networks into self-healing ecosystems capable of adapting, acting, and learning in real-time. With agentic AI and AIOps, businesses can now simplify IT complexity, accelerate troubleshooting, and deliver exceptional cloud-native networking experiences—making HPE a frontrunner in the era of autonomous digital infrastructure.
HPE’s advancements also expand into datacenter automation, enabling enterprises to integrate cloud computing, edge networks, and hybrid IT infrastructures with intelligent, proactive workflows. These innovations align with growing enterprise needs for digital transformation, cloud-first strategies, and zero-trust security frameworks.
At the core of this transformation is the Marvis AI engine, which now integrates enhanced conversational AI, predictive analytics, and autonomous remediation capabilities. By analyzing telemetry across wired, wireless, WAN, and datacenter operations, Marvis automates troubleshooting and speeds up root-cause analysis. This not only reduces downtime but also helps IT teams cut operational costs while ensuring seamless end-user digital experiences.
The newly introduced Large Experience Model (LEM) sets HPE apart in the AI networking space. By simulating and predicting user interactions across applications like Zoom, Microsoft Teams, and ServiceNow, LEM allows organizations to proactively optimize network performance before problems even arise. Coupled with Marvis Minis—digital twins that mimic user behavior—HPE enables AI-driven network automation and performance tuning at scale.
According to HPE executives, the vision is to transform networks into self-healing ecosystems capable of adapting, acting, and learning in real-time. With agentic AI and AIOps, businesses can now simplify IT complexity, accelerate troubleshooting, and deliver exceptional cloud-native networking experiences—making HPE a frontrunner in the era of autonomous digital infrastructure.
HPE’s advancements also expand into datacenter automation, enabling enterprises to integrate cloud computing, edge networks, and hybrid IT infrastructures with intelligent, proactive workflows. These innovations align with growing enterprise needs for digital transformation, cloud-first strategies, and zero-trust security frameworks.
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