Marvis Virtual Network Assistant
The Marvis Virtual Network Assistant uses Mist AI™ to transform how IT teams interact with enterprise networks. With natural language processing (NLP), a Conversational Assistant, prescriptive actions, Self-Driving Network™ operations, and integrated help desk functions, Marvis streamlines operations and optimizes experiences from client to cloud across wireless access, wired access, and SD-WAN domains.
Central to Juniper’s unique AI-driven support model, Marvis is an essential virtual member of your IT team that provides unsurpassed insight and automation. The tool constantly learns as it ingests more data, using its growing knowledge base to proactively correct issues in real time, reduce your number of trouble tickets, and accelerate issue resolution.
- Up to 90% fewer trouble tickets
- Natural language interface
- Client-level network view
- Proactive network fixes
- Actionable recommendations
Features + Benefits
This feature uses Mist AI to identify the root cause of network issues across WLAN, LAN, WAN, and security domains. Use Marvis Actions to manage firmware upgrades, add missing VLANs, identify bad cables, find negotiation mismatches, ID congested WAN circuits, and get effective recommendations for resolving issues with third-party connected systems.
Marvis uses advanced NLP to understand user intent and goals. Its Conversational Assistant contextualizes your natural language inquiries to provide specific answers, whether you’re troubleshooting or searching for devices or documentation. Ask Marvis any question without having to remember specific dashboards or CLI commands.
Marvis Query Language
With MQL, you can follow a structured format for asking Marvis a question to get raw or tabular data to monitor or troubleshoot your users’ experiences and gauge the overall health of your network.
ID Scope with Correlated Data
Marvis correlates information across a large knowledge base, including WLAN, LAN, WAN, and security domains, to determine the scope and magnitude of a problem. This correlation helps you prioritize issues, allocate resources efficiently, and reduce pressure on support teams.
Android and Windows Clients
Currently available for Android and Windows devices, Marvis client software delivers rich network visibility into Wi-Fi experiences from the user device’s perspective. You can understand how any connected device sees the Wi-Fi environment and view its properties, such as device type, OS, radio hardware, and radio firmware versions.
Juniper continues to enhance Marvis, our virtual network assistant’s capabilities with integrations including Microsoft Teams, ChatGPT, Zoom, and more, to improve the overall user experience of our customers. Click the “+” to learn more about each integration.
Microsoft Teams Integration
The Marvis application is integrated with Microsoft Teams. You can set it up quite easily. Using this application, you can log in to your organization and access information similar to how you would access the information in the Mist portal. You can troubleshoot devices, search for devices, and troubleshoot sites from Teams. Network Operation Center (NOC) users can use this app to debug all aspects of support tickets.
You can use the Marvis app as an individual user or as part of a team through a Teams channel.
Juniper has expanded Marvis' conversational interface with ChatGPT to deliver more human-like conversational capabilities, particularly regarding documentation and support issues. Together, Marvis and ChatGPT provide concise, detailed responses to questions about technical documentation and other publicly available, historical knowledge base information.
Marvis ingests data about user experiences with the Zoom conferencing application and combines it with wired, wireless, and WAN performance data using advanced AI and machine learning techniques. Marvis’ integration with Zoom allows you to quickly identify and remediate the root cause of videoconferencing problems.
Juniper and Zebra Technologies have teamed up to bring the first conversational interface to Zebra’s mobile device management tools for enterprise networks. With Marvis-Zebra integration, you gain enhanced telemetry and visibility into the Zebra client experience.
Training and Community
Videos and Demos
Gap Inc. Transforms In-Store Wi-Fi Experience with AI-Driven Networking
Doris and Don Fisher opened the first Gap store in 1969 with a simple idea—to make it easier to find a pair of jeans and a commitment to do more. Over the last 50+ years, the company has grown from a single store to a global fashion business.
While Gap, Inc. transformed their business, technology transformed the way shoppers interact with their favorite brands. A multichannel experience is the new normal, and e-commerce sales continue to grow rapidly in comparison to in-store sales. Consumers don’t simply want to shop for products; they want to seek out a more engaging experience. To give customers and retail associates the best experience with in-store Wi-Fi, Gap Inc. found AI-driven networking to be a perfect fit.
Meet Marvis, the first virtual network assistant (VNA) purpose-built with Mist AI for enterprise WLANs, LANs, and WANs. It fundamentally transforms network operations from reactive troubleshooting to proactive remediation through self-driving actions.
Driven by Mist AI and machine learning, the Wi-Fi Assurance cloud service automates troubleshooting and operations, making wireless networks predictable, reliable, and measurable while providing near-real-time visibility into user service levels.
Why Juniper is outpacing the competition
See Mist AI in action
Find the Marvis VNA in these solutions
AIOps Driven by Mist AI
Juniper transforms IT operations with Mist AI and a virtual network assistant for self-driving capabilities and AI-driven support. Mist AI optimizes user experiences from client to cloud and simplifies IT operations across the WLAN, LAN, and WAN.
AI-driven automation and insight, coupled with the agility and reliability of a microservices cloud, deliver optimized wireless access experiences and simplified network operations.
The wired portfolio, coupled with wireless, combines performance and simplicity at scale, while delivering optimized experiences to users and devices with AI-driven insights and automation.
Marvis Virtual Network Assistant FAQs
What is Juniper’s Marvis Virtual Network Assistant?
The Marvis® Virtual Network Assistant uses Mist AI™ to transform how IT teams interact with enterprise networks. With natural language processing (NLP), a Conversational Assistant, prescriptive actions, Self-Driving Network™ operations, and integrated help desk functions, Marvis streamlines operations and optimizes experiences from client to cloud across wireless access, wired access, and SD-WAN domains.
How does Marvis help customers?
With Marvis Virtual Network Assistant, customers can benefit from:
- Faster issue resolution: Marvis reduces mean time to resolution/innocence (MTTR/MTTI)
- Network insights: Marvis helps reduce human effort by correlating data to derive conclusions
- Proactive troubleshooting: Marvis proactively notifies about issues before end users complain, ensuring a seamless and smooth user experience
- Enhanced network visibility: Marvis provides visibility into third-party devices
- Quicker support responses: Every Mist support ticket is run through Marvis, leading to quicker support responses
Is Marvis the same as Mist AI?
No , Marvis Virtual Network Assistant is a separate subscription that uses Mist AI.
What is in Marvis' features set?
The key features of Marvis include:
- Conversational Assistant–NLP and NLU-based virtual network assistant (VNA)
- Query Language–Query-based search for events
- Actions–Proactive, organization-wide issues
- Self-Driving–For automated remediation
- Android Client–Detailed visibility via a soft client
- Wired Visibility–third-party access switching
- Client SLEs
What integrations exist as an expansion on Marvis’ conversation interface?
Gartner Magic Quadrant for Enterprise Wired and Wireless LAN Infrastructure, Mike Toussaint, Christian Canales, Tim Zimmerman, December 21, 2022.
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