Juniper Networks announced another groundbreaking capability within its Virtual Network Assistant (VNA), Marvis, designed to address a widespread problem in many enterprise networks – bad video conferencing experiences. All too often, it’s difficult to determine the root cause of dropped or pixelated calls. Is it Wi-Fi interference? WAN latency? High CPU utilization on a laptop? Or the application itself?
Combining Third-Party Labeled Data from Zoom – Marvis Learns from More User Experience!
Marvis now uses Zoom performance to help address this situation. More specifically, Marvis pulls data from both the Zoom client and the Zoom cloud, and joins it with network-specific insights to determine the root cause of a bad video experience. In addition, Marvis learns what causes poor Zoom experiences over time, allowing it to understand trends and identify anomalies for proactive and predictive root cause identification and remediation. This gives IT teams an edge in reducing the mean time to repair (MTTR) Zoom issues and, in many instances, can reduce Zoom support tickets entirely.
Zoom insights can be gathered using Marvis’ conversational interface. For example, as shown below, users can ask Marvis to list all Zoom users and to troubleshoot a specific Zoom session. With this integration, it’s never been easier to ensure video calls are running smoothly and effectively.
Juniper constantly enhances Marvis to leverage new data science tools and data sources for best user and operator experiences. Zoom, along with ChatGPT integration (see our blog), are the latest in a long history of VNA advances, dating back to Marvis’ launch in 2018. By leveraging AI for automation, insight and client-to-cloud assurance, Marvis continues to set the standard in the networking industry.
Additional Resources:
- Press Release: AIOps Leadership
- Blog: Access Assurance
- Marvis Product Page
- Marvis Datasheet
- AP24 Product Page
- AP24 Datasheet
- Expanded Marvis Conversation Interface with ChatGPT
P.S. We’re not magicians. We’re also not AI washers. Take a look behind the scenes to see how AI gets real.
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