Allow the industry-first AI-driven virtual network assistant to manage your network.
Meet our Virtual Network Assistance (VNA)– the first AI-driven virtual network assistant. Simplify your everyday troubleshooting and network performance analysis for helpdesk staff and network administrators. Now you can ask questions and get intuitive answers on par with a wireless expert.
How would you like to experience a self-driving network?
Our Marvis Actions feature within our Virtual Network Assistant is already starting this paradigm shift. Today it performs several self-driving actions and for connected systems outside our management domain (e.g. WAN, 3rd party switches, etc) it brings “driver-assist” mode where the system identifies issues with the network that require action from an administrator. It will proactively alert you with your action items to keep the network humming.
Experience an AI test drive with Mist’s Free AP Program or call about Marvis Actions.
Virtual Network Assistant Benefits
Maximize User Experience
- Faster troubleshooting means less downtime
- Proactively fix problems before users know they exist
Prioritize IT Spend
- Focus IT investments on strategic projects not on troubleshooting
- Prioritize helpdesk tickets based on scope of impact
Gain New Insights
- Understand your WLAN without hunting through numerous screens
- Analyze and correlate date to determine the magnitude and scope of problems
Key Components of VNA
Simple Natural Language Interface
Marvis uses Natural Language Processing (NLP) and Information Theory to analyze massive amounts of data and draw subtle inferences. Simply ask Marvis a question and it will help you extract insights from the system or troubleshoot an issue for you.
Simplify Troubleshooting with Marvis Actions
This VNA feature brings Marvis AI-engine’s transformational concept of the self-driving network to IT teams. It identifies the root cause of issues across the IT domains (WLAN, LAN, WAN and Security) and automatically resolves most issues. Additionally, it recommends actions (akin to driver-assist mode) for those connected systems outside of the Mist domain while offering a real-time network health dashboard that reports issues from configuration to troubleshooting.
Marvis adds anomaly detection to the Mist SLE dashboard so that administrators can rapidly and proactively identify service impacting events that assure rapid determination and resolution of the root cause of issues. Anomaly detection leverages data science tools to automatically determine service baselines and trigger notifications when there is a service-impacting deviation from that baseline. With our API driven interface, detected anomalies can even trigger external events such as creation of a help desk ticket, without manual intervention.
Correlate Data to Understand Scope
Marvis correlates information across a large knowledge base to determine the scope and magnitude of a problem. This helps you prioritize issues and assign resources efficiently.
- Did an upgrade cause a wireless issue?
- Is it specific to client, group of clients, entire site, or many locations?
- Is it happening rarely, occasionally, or frequently?
- Is there a coverage issue or is a DHCP server responding slowly?
- What is the scope and impact of the problem?
Integrated Help Desk
Marvis uses machine learning to perform unique troubleshooting and helpdesk functions like anomaly detection, event correlation, and confidence ratings. By leveraging APIs, this can trigger automated workflows so you can rapidly solve (or avoid) wired, wireless and device problems.