White paper: Measuring your AIOps maturity

Use this white paper to assess where you are on your AIOps maturity journey and learn how to evaluate providers that will enable you on the journey to a more automated, self-driving network.

Where are you on your AIOps-maturity journey?

The future of networking is self-driving. Today, organizations and AIOps providers are all at different stages of AI and network maturity. For organizations, a more autonomous network requires trust earned through proven outcomes and explainable solutions. For the vendor, it takes years of AI training and development on rich, relevant data, plus the right foundation—one purpose-built to deliver on the enormous promise of AI in networking.

Wherever you’re at on your AIOps-maturity journey, Juniper is along for the ride, helping drive you toward the Self-Driving Network.

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Stage 1: Data

The critical first step to a self-driving network is having the right data. High-quality, relevant data trains AI models to generate more meaningful and accurate insights. For over a decade, Juniper has collected telemetry from access pointsroutersswitchesfirewalls, and third-party applications to train the Marvis® AI engine. Centralized in a scalable microservices cloud, this data powers Mist™, Juniper’s AI-native networking platform, to deliver advanced AIOps—proactive insights, prescriptive recommendations, and self-driving actions that streamline operations and drive better outcomes.

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Stage 2: Insights

When relevant data is translated into useful insights, IT teams gain visibility and context into network performance. At this stage, Marvis provides insights into user experiences and rapidly identifies the root cause when problems occur. This enables IT teams to proactively find and resolve issues quicker, reducing troubleshooting time and preventing problems from impacting end user experiences.

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Stage 3: Recommendation

Recommendations take those data-driven insights to the next level by offering actionable suggestions to improve network performance. Juniper’s Marvis® AI Assistant is unparalleled in its ability to provide root cause analysis and recommend actions for rapid resolutions across all networking domains. Marvis Actions flags the most critical performance issues across the network, helping IT teams accurately and intuitively prioritize where they should focus their attention.

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Stage 4: Assisted

At this stage, the network begins to resolve issues without human intervention. The Marvis AI Assistant is already delivering on this today. When given permission, Marvis can autonomously address VLAN misconfigurations, network loops, and automate tasks like policy updates and firmware compliance. This self-healing capability reduces downtime and eases the burden on IT resources, allowing teams to focus on higher-priority tasks.

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Stage 5: Self-Driving

The final stage is a fully autonomous, fully self-driving network that runs itself without the need for human intervention. It autonomously resolves issues and automatically optimizes performance to ensure exceptional experiences every time users connect. By handling most operational tasks and mitigating and proactively resolving network problems, your IT team is empowered to focus on more strategic initiatives that add exponential value to the business.

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