It was unclear how Mist and Support Insights might be integrated, but Juniper stated the use cases would be specific to business requirements. The natural language-based Marvis engine is at the core of multiple Juniper services, including: Wi-Fi Assurance, which measures performance and service-level metrics for wireless networks Wired Assurance, which taps into Juniper's network routers and switches to gather telemetry data that measures network performance and WAN Assurance, a cloud-based service to gather telemetry data from Juniper SRX, Contrail and other WAN gear and pass that information to Marvis. The use of AI technology now pervades Juniper’s networking portfolio, anchored by Mist Cloud that includes an AI-based engine called Marvis that uses machine learning to automatically identify, adapt to, and fix network issues. The company plans to add more AI-driven functions to the platform to further reduce time spent monitoring and troubleshooting network issues, James said. In addition, Juniper Support Insights includes a secure portal where businesses can manage device onboarding and discovery, as well as access dashboards and reports that provide a holistic view of operational health metrics. Further, no personally identifiable information is used, and all data flows are encrypted by transport-layer security (TLS). James said the data is gathered securely, and none is stored permanently to prevent data leakage. “The idea is that with Support Insights, IT can be proactive in making changes and spotting problems,” said Derrell James, executive vice president of Juniper Global Services.
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Juniper setup client control software#
Once connected, information gathered by the devices is correlated against Juniper’s knowledge base to provide details about enterprises networked resources such as device status, network inventory, security, and software licensing, all from a central dashboard.