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Product
The Marvis AI Assistant, formerly known as the Marvis Virtual Network Assistant, is Juniper’s AI interface product. It works with the Marvis AI engine to transform how teams interact with enterprise networks. The Marvis AI Assistant streamlines operations and optimizes experiences from client to cloud across wireless access, wired access, SD-WAN, and WAN routing domains.
Using the Marvis AI Assistant doesn’t require any specialized knowledge or skills—it relies on a conversational interface that leverages natural language processing and understanding (NLP and NLU), large language models (LLM), and generative AI (GenAI) for intuitive interactions. By providing proactive and prescriptive actions, Self-Driving Network™ operations, digital experience twinning, and integrated help desk functions, the Marvis AI Assistant keeps your team one step ahead.
The Marvis AI Assistant, which is central to Juniper’s unique AI-native network support model, constantly ingests data and learns from network devices and applications. This ensures a wide breadth of expertise with the highest level of efficacy. Put simply, you can resolve more issues quickly with increased accuracy, maximizing user and operator experiences while minimizing IT costs.
Extending beyond wired and wireless, the Marvis AI Assistant for Data Center delivers simplified AIOps capabilities that optimize the entire data center life cycle. It works in conjunction with Juniper Apstra to provide proactive and prescriptive data center actions and simplifies knowledgebase queries using the Marvis AI Assistant conversation interface (powered by GenAI). And the Marvis for Routing extension enables chat assistance for WAN operation, streamlining searches for documentation while improving performance degradation troubleshooting. For the first time ever, a single AI network assistant provides end-to-end visibility and assurance across all enterprise domains, from campus and branch to data center.
Key Features
The Marvis AI Assistant leverages the Marvis AI engine to proactively identify and resolve the root cause of network issues across WLAN, LAN, WAN, and security domains. Marvis Actions identifies issues like non-complaint firmware, missing VLANs, bad cables, congested WAN circuits, and much more. And when self-driving or human-assisted actions occur, the Marvis AI Assistant validates their outcomes to ensure they achieve the intended results. Now, when given permission to self-drive, the Marvis AI Assistant can autonomously implement call-to-action changes, such as resolving misconfigured ports, port stuck issues, and more. And your team can use the new My Marvis dashboard to track all driver assist and self-driven actions. With a unified AI assistant capable of correlating events across the campus, branch, and data center domains, IT teams can better prioritize issues, allocate resources more efficiently, and resolve problems more effectively.
The Marvis AI Assistant uses advanced NLP to understand user intent and goals. The conversational interface contextualizes natural language inquiries to provide specific answers, whether you’re troubleshooting a potential issue or searching for valuable insights into user experiences. And Juniper has expanded the conversational interface with multiple agents to deliver more human-like conversational capabilities, particularly regarding documentation and support issues. Together, the Marvis AI Assistant and the various supporting agents change the game for IT operations, replacing reactive dashboards and CLIs with conversational dialogues.
Marvis Minis, which now offer visibility from client to cloud, proactively simulate digital user connections to instantly validate network configurations and find/detect problems without users being present, a concept known as digital experience twinning. Data from Marvis Minis is continuously fed back into the Marvis AI engine, providing an additional source of insight for optimal AIOps responses. Marvis Minis are available at no additional charge—with no additional hardware or software requirements—through the Marvis AI Assistant cloud.
Marvis Large Experience Model (LEM) analyzes collaboration application performance through the integration of the Shapely data science model with our continuous user experience learning to support Zoom and Microsoft Teams. This enables accurate root cause analysis of potential user experience issues, whether in the WAN, wireless, or a client. Intuitive visualizations that list access point (AP), client, and feature ranking distributions make it easier to proactively address the issues to ensure that collaboration applications are performing optimally, resulting in better user experiences and a significant reduction in support tickets.
Real-time data from Zoom and Microsoft Teams Experience Insight feeds into the Shapley data science model, enabling Marvis Application Experience Insights to proactively identify the root cause of issues and assure key applications are performing well when needed.
Juniper enhances the Marvis AI Assistant’s capabilities with information from client devices and applications, assuring the best end-to-end experiences. Click the “+” to learn more about each integration.
Android and Windows clients
Currently available for Android and Windows devices, the Marvis AI Assistant 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 views its properties, such as device type, OS, radio hardware, and radio firmware versions.
Microsoft Teams integration
The Marvis AI Assistant application seamlessly integrates with Microsoft Teams, making setup quick and easy. Once integrated, you can log in to your organization and access information to 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 AI Assistant app as an individual user or as part of a team through a Teams channel.
Zoom troubleshooting
The Marvis AI Assistant ingests data about user experiences from the Zoom conferencing application and combines it with wired, wireless, and WAN performance data using advanced AI and machine learning techniques. The Marvis AI Assistant’s integration with Zoom allows you to quickly identify and remediate the root cause of videoconferencing problems.
Marvis-Zebra integration
Juniper and Zebra Technologies have teamed up to bring the first conversational interface to Zebra’s mobile device management tools for enterprise networks. With the Marvis-Zebra integration, you gain enhanced telemetry and visibility into the Zebra client experience.
Join our weekly demo to see how we deliver the industry’s best access-layer experience for wired and wireless networks.
CUSTOMER SUCCESS
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.
The Marvis AI Assistant, the first AI-native virtual network assistant, is the conversational interface for the Marvis AI engine. It optimizes user experiences with proactive actions and self-driving network operations. A natural language conversational interface provides simple and seamless interactions, making the Marvis AI Assistant an integrated member of any IT team.
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Powered by the Marvis AI engine, the Juniper Wi-Fi Assurance cloud service automates troubleshooting and operations, making wireless networks predictable, reliable, and measurable while providing near-real-time visibility into service levels.
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Marvis Minis proactively simulate user connections digitally to learn the network configuration via unsupervised machine learning and proactively highlight network issues. They work with the Mist platform to proactively simulate user connections to instantly validate network configurations and find/detect problems before they have a chance to negatively impact end user experience.
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Our wired portfolio—coupled with wireless—combines performance and simplicity at scale while delivering optimized experiences to users and devices via AI-native insights and automation.
The Marvis AI Assistant uses the Marvis AI engine 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 helpdesk functions, the Marvis AI Assistant streamlines operations and optimizes experiences from client to cloud across wireless access, wired access, and SD-WAN domains.
With the Marvis AI Assistant, customers benefit from:
No, the Marvis AI Assistant is a virtual network assistant that uses the Marvis AI engine for exceptional automation, insight, and assurance. Marvis AI Assistant is an orderable product, whereas Mist is Juniper’s AI-native networking platform and embedded within products.
The key features of the Marvis AI Assistant include:
Juniper has expanded the Marvis AI Assistant’s conversational interface by integrating with ServiceNow, Microsoft Teams, LLM, Zoom, and Zebra.
The industry’s only AI-Native Networking Digital Experience Twins, Marvis Minis proactively simulate user connections digitally to instantly validate network configurations and find/detect problems without users being present. Marvis Minis come standard with a Marvis AI Assistant license.
Marvis AI Assistant for data center extends the reach of the virtual network assistant, providing insight into data center environments. This includes proactive actions, cross-launching of the Apstra platform, and a conversational interface for simple data center knowledgebase queries. All this information can be displayed in a single Marvis AI Assistant dashboard for complete visibility and assurance across all network domains.