HPE Juniper Networking Gives Mist Platform An Agentic AI Injection As Company Expedites HPE Aruba, Juniper Integration
“We don’t want to take as long as Cisco Meraki did where 12 years later, they’re now trying to figure it out, but we need to get there judiciously. We are not going to leave any customers or partners behind. We are committed to innovate on both product lines until one day they converge,” Jeff Aaron, VP of networking product and solution marketing at HPE, tells CRN.
Juniper Networking is unveiling new agentic AI capabilities in its first announcement under the banner of HPE Juniper Networking since the close of HPE’s blockbuster acquisition in July.
Specifically, the newly coined HPE Juniper Networking portfolio is gaining new capabilities within its AI-native Mist platform that enterprises can use to create more autonomous, “self-driving” enterprise, branch, and data center networks, the company said.
The new capabilities include agentic AI-powered troubleshooting, expanded visibility and control of autonomous actions, a generalized Large Experience Model (LEM) and new AIOps features for data centers, Jeff Aaron, vice president of networking product and solution marketing at HPE, told CRN.
“The ultimate goal here is, we want to lead the convergence of AI and networking,” Aaron said. “What’s nice is now we have a full portfolio that expands across all these areas.”
[Related: New HPE-Juniper Networking Boss On Integration, Competing with Cisco, And the Future Of Juniper Mist]
The Juniper Mist platform now includes enhanced conversational capabilities within the Marvis AI assistant. Marvis has had a conversional interface for the last ten years, but the new, augmented conversational capabilities rely on an agentic AI framework to customize insights using agents that collaborate across the wired, wireless, WAN, client and application domains, the company said.
“We’re refining the model with more tools so it can become even more conversational and even more accurate,” said Aaron (pictured above).
The Marvis Actions dashboard has also been updated to support the autonomous remediation of six new network issues, including misconfigured ports, capacity issues and non-compliant hardware.
HPE Juniper is also extending its conversational capabilities to data center operations. The Marvis AI Assistant for Data Center now integrates with Apstra’s contextual graph database to serve up intelligent insights and lay the groundwork for autonomous service provisioning, the company said.
The latest Marvis data center capabilities complement HPE OpsRamp, an AIOps-powered IT operations management platform that helps enterprises and channel partners automate the management of hybrid, multi-cloud, and on-premises IT environments, the company said.
Lastly, the company is boosting its generalized Large Experience Model (LEM) — an AI model unique to HPE Juniper Networking that analyzes billions of data points from applications like Zoom and Teams to troubleshoot the performance of common collaboration tools and predict future issues. The LEM is now enhanced with Marvis Minis, or twins that simulate user experiences, to predict future application experiences without real-time data from the applications themselves. Performance can be optimized before users are even present in a meeting, Aaron said.
“This really shows the value of a self-driving network,” he added.
The Future Of HPE Juniper Networking
HPE’s long road to close its $13.4 billion acquisition of Juniper Networks ended last month when the two companies completed the $13.4 billion deal, officially making Juniper Networks a wholly owned subsidiary of HPE.
Now, businesses have access to both Juniper networking and HPE Aruba networking solutions all from a single company, Rami Rahim, Juniper Networks’ former CEO and current president and general manager of HPE’s $9.6 billion networking business, said last month.
Rahim believes that the new entity is better positioned now than ever before to help partners and customers capitalize on the big opportunities of AI for networks and networks for AI.
“The road ahead is full of promise,” he said after the close of the acquisition on July 2.
HPE Aruba and HPE Juniper Networking share a vision that everything will come together under a common cloud, AI engine, and operating system with a common hardware line, Aaron said.
“We want to get there expeditiously. We don’t want to take as long as Cisco Meraki did, where 12 years later, they’re now trying to figure it out, but we need to get there judiciously,” he said. “We are not going to leave any customers or partners behind. We are committed to innovate on both product lines until one day they converge and there will be a common product line.”