Help us improve your experience.

Let us know what you think.

Do you have time for a two-minute survey?



SUMMARY This topic introduces the benefits of the AI-driven operations features in your Juniper Mist™ portal.

If your job involves troubleshooting problems, investigating user complaints, or tracking network performance, you’ll find that all these tasks become easier with the AI-driven operations (AIOps) features in your Juniper Mist portal.

AIOps is embedded into Juniper Mist, enabling your IT operations team to stay on top of and manage all the complexity of your distributed networks. Mist AI applies big data, analytics, and machine learning capabilities to intelligently sift through network information to pinpoint events and recognize patterns that indicate potential issues. Mist AI can also diagnose the root cause of an issue and recommend action.

These features shorten the time spent on troubleshooting and empower you to take proactive actions to ensure positive user experiences. No more guessing about the scope of an incident. No more needle-in-a-haystack searches through log files to identify root causes. No more struggling to reproduce issues so that you can capture packets.

10-Minute Troubleshooting Video Demo

In this demo, you see how you can use the Monitor page, Marvis actions, and the Marvis query language for troubleshooting.


With the Juniper Mist dashboards, you’ll see:

  • Success/failure indicators that you can interpret at a glance

  • Visualizations that show exactly when and where an issue originated

  • Packet captures for every incident

  • Root-cause analysis

And even better, you can discover many issues before they have an impact. With the Service Level dashboards, you can quickly spot any conditions that don’t meet your expectations. Take action before incidents occur.


If you have a Marvis Virtual Network Assistant subscription, you also get:

  • AI-recommended actions to improve network performance and user experiences

  • Conversational support with issue identification and troubleshooting

  • Robust query language for more structured inquiries

  • Proactive identification of potential issues