Explainable AI

With the proliferation of users, devices, applications, and cloud, plus mushrooming network complexity, it’s becoming impossible to operate networks using traditional approaches. Learn how Juniper uses natural language processing (NLP) to help resolve network issues in minutes, not days.

A faulty cable is a prime example of a time-consuming, needle-in-a-haystack networking issue. See how Juniper uses decision tree algorithms to analyze cable data such as frame errors and one-way traffic to determine if a cable is exhibiting poor quality that’s likely impacting end user experiences.

Despite initial planning, Wi-Fi performance changes over time due to shifts in a site’s RF (radio frequency) characteristics. Juniper uses reinforcement learning to intelligently and dynamically optimize RF in real time for the best possible Wi-Fi coverage, capacity, and connectivity.

It can be challenging to gain deep actionable insights about a network’s state and behavior. Juniper uses the mutual information algorithm to help determine which network features are having the most impact on the failure or success of your service level expectation (SLEs) metrics.

Network latency, bandwidth management, and troubleshooting connectivity problems are common with applications like Zoom and Microsoft Teams. See how SHAP helps IT teams improve application experiences by providing clear, interpretable insights into the AI models used for network management.

Network engineers, architects, and NetOps folks must often consult documentation to accomplish their day-to-day activities. Learn how Marvis uses LLMs and retrieval augmented generation (RAG) to quickly extract actionable information needed by network technicians. 

Trained on billions of data points, Juniper’s LEM predicts app performance and identifies issues—like those causing latency—in seconds.

Learn how Marvis, Juniper’s virtual network assistant, uses NLP and LLMs to enhance AIOps.

Explore how Juniper Mist uses various AI and machine learning techniques to optimize network performance and enhance user experiences.