

Marvis Virtual Network Assistant
The Marvis Virtual Network Assistant (VNA) leverages Mist AI to transform how IT teams interact and engage with enterprise networks. With Natural Language Processing (NLP), a conversational interface, prescriptive actions, Self-Driving Network™ operations and integrated help desk functions, Marvis VNA streamlines operations and optimizes user experiences from client-to-cloud – i.e. across wireless access, wired access, and SD-WAN domains.
Marvis is not just another “nice to have” tool. It is an essential member of your IT team, providing unsurpassed insight and automation. It is constantly learning as more data is ingested and using this ever-growing knowledge to proactively correct issues in real-time, predict problems before they occur, and/or solve trouble tickets as part of Juniper’s unique AI-driven support model.
Key Features
- A conversational interface uses natural language to understand user intent
- Marvis automatically takes action or provides recommendations to proactively fix an issue before users know it exists
- Marvis Android app enables a client-level view of the network, capturing events directly from end-users’ devices
- Validated Mist AI-driven support can decrease user-generated tickets by up to 90 percent
- Real-time insights and simplified troubleshooting at the client, device, and site levels help boost service quality
Features + Benefits
Conversational Interface
The Marvis Conversational Interface uses advanced natural language processing (NLP) to understand user intent and goals. It contextualizes the inquiry to return specific results and can even take actions based on user feedback. Describe your intent to Marvis, and it will take an action without requiring you to remember specific dashboards or CLI commands to implement the change.

Client SDK
Currently for Android only. Get network visibility inside out, from the device’s perspective. In addition to the rich visibility of the device’s Wi-Fi experience, you can now understand how the device sees the Wi-Fi environment.
Anomaly Detection
Marvis adds anomaly detection within service-level expectation (SLEs) so you can proactively identify service-impacting events and determine the root cause for rapid remediation and resolution.
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Accurate Root Cause Analysis
Marvis uses Bayesian Inference to identify causes with the highest probability of association to problems occurring on the network. This approach delivers more accurate root cause analysis to speed problem identification and resolution.

Understand 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 to prioritize issues, allocate resources efficiently, and reduce pressure on support teams.

Self-Driving Actions Framework
Marvis Actions, a function of the Self-Driving Network™, leverages Mist AI to identify the root cause of issues across IT domains (WLAN, LAN, WAN, and security). It automatically fixes or recommends actions (driver-assist mode) with high efficacy for connected systems outside of the Juniper domain.
Marvis complements Wi-Fi Assurance, Wired Assurance, and WAN Assurance, notifying you of all the outstanding actions you can take. Manage firmware upgrades, add missing VLANs, identify bad cables, find negotiation mismatches, pinpoint congested WAN circuits, and much more.
Gartner names Juniper furthest in Vision and Highest in Execution, in the 2021 Gartner® Magic Quadrant™ for Enterprise Wired & Wireless LAN Infrastructure.
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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.
Gartner Magic Quadrant for Enterprise Wired and Wireless LAN Infrastructure, Mike Toussaint, Christian Canales, Tim Zimmerman, 15 November 2021.
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