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What is Marvis Virtual Network Assistant?

Juniper's Marvis Virtual Network Assistant (VNA), which is driven by Mist AI, transforms the interaction between IT teams and enterprise networks. It simplifies management and improves user experiences across multiple areas, including wireless access, wired access, SD-WAN, and WAN routing. The use of Marvis is intuitive and does not require in-depth technical knowledge, thanks to its conversational interface that leverages natural language processing, along with large language models and generative AI to facilitate smooth communication. By providing proactive insights, prescriptive suggestions, Self-Driving Network operations, digital experience twinning, and integrated help desk capabilities, Marvis equips your team to proactively address potential issues. As an integral part of Juniper's unique AI-Native Network support framework, Marvis consistently collects data and learns from various network devices and applications, ensuring it develops a broad skill set with impressive efficiency. This cutting-edge approach not only simplifies the management of networks but also significantly boosts the overall integrity of operations, ultimately leading to improved performance and user satisfaction. Additionally, the ongoing evolution of Marvis ensures that IT teams can adapt to new challenges as they arise, making it an invaluable asset in today’s fast-paced technological landscape.

What is Fing?

Fing Device Intelligence and Knowledge offers extensive insight into your connected ecosystem. Central to its digital solutions is Device Recognition, which allows Fing to identify both wired and wireless gadgets in various settings—be it home, office, or enterprise—using only the MAC address to determine device type, manufacturer, model, and operating system details (including name and version). With over ten years of industry experience, Fing has built a reputable brand focused on device identification technologies tailored for the Internet of Things (IoT). To improve the precision of its device recognition capabilities, Fing leverages crowdsourcing to validate and enhance its database. Furthermore, it employs machine learning methods to scrutinize the crowdsourced data effectively. Fing has developed a unique patented algorithm capable of identifying devices through MAC address analysis alone, which sets it apart from basic Vendor lookup techniques. Opting for Fing ensures that you achieve outstanding device recognition at a cost significantly lower than what would be required to create a comparable in-house solution. This strategy not only speeds up your time-to-market but also reduces long-term maintenance costs. As a result, Fing equips organizations to manage their digital landscapes effectively while optimizing their available resources and improving operational efficiency.

Media

Media

Integrations Supported

ChatGPT
Juniper Mist AI
Microsoft Teams
ServiceNow
Smatleads
Stackreaction
ZEBSOFT
Zoom

Integrations Supported

ChatGPT
Juniper Mist AI
Microsoft Teams
ServiceNow
Smatleads
Stackreaction
ZEBSOFT
Zoom

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Juniper Networks

Date Founded

1996

Company Location

United States

Company Website

www.juniper.net/us/en/products/cloud-services/marvis-virtual-network-assistant.html

Company Facts

Organization Name

Fing

Date Founded

2009

Company Location

Ireland

Company Website

www.fing.com/business

Categories and Features

Categories and Features

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