Simplify your operations and optimize user experiences across the wireless and wired access domains.

What problems does AIOps solve?

AIOps analyzes and consolidates data from multiple sources. It observes and learns details from the environment and provides assessments based on overall quality of experience (QoE). In this way, AIOps is able to correlate network activities to determine and resolve problems before they’re noticed by end-users or IT operations staff. AIOps provides root cause analyses of problems as or before they occur based on machine learning (ML) algorithms and contextualized data.

What are the components of AIOps?

An AIOps platform uses ML algorithms and contextualized data to provide root cause analyses and automatically remediate simple problems in the network. AIOps requires an AI engine able to correlate events and ML algorithms that extract knowledge or patterns from a set of observations. A virtual network assistant using natural language processing (NLP) enhanced by natural language understanding (NLU) and language generation (LG) combine to offer a powerful conversational interface that can contextualize requests, accelerate troubleshooting, and make intelligent decisions or recommendations to streamline operations.

What are the key capabilities of AIOps?

Problem isolation/root cause analysis – With the large volumes of data in today’s networks, it’s difficult to pinpoint problems raised in trouble tickets, much less those that haven’t been brought to the attention of IT. AIOps correlates events in real-time by processing contextualized data, allowing operations teams to identify and rectify issues in a timely manner.
Data-driven decision-making – ML algorithms drive data-based analysis, which offers operational recommendations or remediations rather than predetermined responses to networking faults or anomalies. This data-centric approach improves operations staffs’ troubleshooting efficiency.
Predictive reporting – AIOps predicts network behavior and offers recommendations or remediations for fixing degraded performance and other anomalies within the network. This fundamental shift benefits operations teams by allowing them to be proactive in managing network operations, rather than chasing down issues that have already had an impact on users and the business.

Juniper AIOps Solutions:-

Marvis VNA: The Marvis Virtual Network Assistant (VNA) is the digital network expert that supports your own team of network experts. Marvis is the first network assistant in the industry to bring conversational AI to networking. Marvis proactively identifies the root cause of issues across IT domains (WLAN, LAN, WAN, security, and applications), providing insights into every high-impact issue seen when a client is accessing an application. It can either automatically resolve issues (self-driving mode) and/or it recommends actions that require user intervention (driver assist mode). Once completed, Marvis closes the feedback loop by validating that the actions are correct in the Mist AI engine, thus helping Marvis learn while gaining your IT team’s trust.

Marvis VNA for Data Center: Marvis VNA for the data center is the industry’s only AI-Native virtual network assistant for data center operations. It works in conjunction with Juniper Apstra to provide proactive and prescriptive data center actions and simplify knowledgebase queries using the Marvis conversational interface (powered by GenAI). With Marvis VNA for data center, operators can reduce OPEX by 85%.

Juniper Mist Routing Assurance: Juniper Mist Routing Assurance extends the power of Juniper AIOps to revolutionize WAN operation, offering routing observability that provides proactive and actionable insights through Marvis.

Wi-Fi Assurance: Wi-Fi Assurance is a cloud service based on machine learning and driven by Mist AI. It replaces manual troubleshooting tasks with automated wireless operations to make Wi-Fi predictable, reliable, and measurable and provides unique visibility into user service levels while tracking connection metrics such as time to connect, capacity, coverage, and throughput. Anomaly detection automatically captures packets for event correlation and builds network intelligence with radio resource management (RRM) at the client level.

SD-WAN/Wired Assurance: The Juniper Mist WAN Assurance service simplifies operations, improves visibility into end-user experiences, and shortens WAN mean time to repair. The Juniper Mist Wired Assurance service brings Mist AI to access-layer switching.

Microsoft Technology: Azure Cloud Platform, Microsoft Azure Private 5G Core, Azure private multi-access edge compute (MEC) Platform, Microsoft Intune, Azure Operator Nexus(optional)

Juniper AIOps-AI for IT Operations

by Marconi Wireless Inc