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Juniper announces innovations in Mist AI-platform for wired, wireless, WAN customers
Sudheer Matta, Senior Vice President, Products, Campus and Branch, Juniper Networks
J uniper Networks, a provider in secure, AI-native networking, announced key innovations in the Mist AI-native networking platform that bring expanded insight and assurance to wired, wireless and WAN customers and partners. Enhanced Marvis Minis extends digital experience twinning across the global WAN, reaching into both public and private cloud environments and applications.
A new Marvis Actions self-driving dashboard simplifies network operations by seamlessly identifying and resolving network issues and continuously optimising network experience and performance, without manual operator intervention, and an enhanced Marvis mobile client expands Mist’ s industry-AI-native Operations, AIOps to end user devices.
With these latest innovations in Mist, Juniper continues to lead the industry in AIOps from client-to-cloud, giving operators superior visibility and control of user experiences.
“ The Mist AI-native networking platform was purpose-built to converge AI and networking for exceptional operator and end user experiences,” said Sudheer Matta, Senior Vice President, Products, Campus and Branch, Juniper Networks.“ These enhancements shift the paradigm from traditional observability to an AInative model for truly understanding user experience that’ s actionable at scale.”
“ To overcome the increased complexity of highly distributed networks, organisations need to adopt self-driving networks and agentic AI technologies. These advances will enable increased operational efficiency, enhanced customer experiences and better business insights. It all starts with a comprehensive, granular understanding of the network, users and applications environment,” said Bob Laliberte, Principal Analyst, theCUBE Research.
With this enhancement, Marvis Minis digital experience twinning capabilities now proactively analyse user experiences end-to-end, from client-to-cloud to baseline and pinpoint exactly where application performance may be suffering. Marvis Minis now offers new service level expectations, SLEs to deliver increased visibility into application performance across various levels, such as at site, across sites, regions, within an ISP, making troubleshooting faster and more efficient.
With end-to-end monitoring, Marvis Minis now provides a comprehensive solution for identifying and resolving issues before they impact end user experience. Unlike traditional observability tools that require agents, sensors or customer-side deployment, Marvis Minis offers a fully seamless experience powered by AI.
Aligned with Juniper’ s vision of selfdriving networks, Marvis AI Assistant
Bob Laliberte, Principal Analyst, theCUBE Research
proactively resolves network issues like VLAN misconfigurations and network loops, optimises Radio Resource Management, RRM and automates routine tasks such as policy updates firmware compliance, increasing overall efficiency.
The new Marvis Actions dashboard view gives full control over when and how these self-driving network operations are enabled. It also provides a detailed history of all proactive actions, whether fully self-driving or assisted, along with insights into how Marvis AI Assistant identified and resolved each issue, empowering customers to manage their network on their terms.
Marvis Client, an enhanced Marvis AI Assistant extension, uses client-side telemetry from Android, Windows and macOS devices to provide deeper insights into user experiences. •
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