HPE Broadcasts Agentic AI Enhancements to Mist Platform

HPE not too long ago introduced new capabilities for its Juniper Mist platform that leverage agentic AI to allow extra autonomous, clever, and proactive community operations. The brand new capabilities “bolster GreenLake Intelligence, HPE’s next-generation strategy to autonomous IT and agentic AIOps, which deploys specialised AI brokers inside a multi-layered IT structure” to allow “real-time problem-solving, proactive optimization and smarter decision-making throughout networking, storage and compute,” the corporate defined in a information announcement.

“At the moment’s networks should do greater than join — they need to perceive, adapt and act,” mentioned Rami Rahim, EVP, president, and common supervisor for HPE Networking, in an announcement. “With these new digital expertise twin and agentic AI capabilities in Juniper Mist, we proceed to show the community right into a proactive companion for IT, able to fixing issues earlier than they influence customers. This can be a main leap towards really self-driving operations, serving to our prospects simplify complexity, cut back prices, and ship distinctive digital experiences at scale.”

The brand new options, as described within the announcement, are:

• Enhanced conversational capabilities. Mist’s Marvis AI assistant has augmented conversational capabilities that facilitate real-time troubleshooting. By leveraging an agentic AI framework, personalized perception is supplied with self-driving brokers that collaborate throughout the wired, wi-fi, WAN, shopper, and utility domains.
• Expanded Self-Driving Actions. The Marvis Actions dashboard now helps the autonomous remediation of extra community points, together with misconfigured ports, capability points and non-compliant {hardware} — with full IT oversight.
• Generalized Giant Expertise Mannequin (LEM). LEM is an AI mannequin distinctive to HPE Juniper Networking that analyzes billions of knowledge factors from purposes like Zoom and Groups to simply troubleshoot the efficiency of widespread collaboration instruments and predict future points. Now enhanced with Marvis Minis — twins that simulate person experiences — LEM can predict future utility experiences with out real-time information from the purposes themselves. That is fed into the Marvis AI engine the place self-driving actions might be taken to optimize future efficiency, previous to customers even being current.
• AI for Information Middle Operations. The Marvis AI Assistant for Information Middle integrates with Apstra’s contextual graph database to ship clever insights and lay the groundwork for autonomous service provisioning. Marvis Minis additionally extends to the information heart for steady service validation and utility assurance pertinent to information heart networks.