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AI-Driven IT
Operations (AIOps)

Artificial Intelligence for IT Operations (AIOps) applies AI and machine learning to automate and optimize standard IT processes and workflows. By intelligently managing recurring operational tasks, AIOps enables network and IT teams to operate more efficiently, proactively identify issues, and significantly reduce the risk of human error.

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AIOps streamlines network management by automating routine operational tasks.

AIOps can identify opportunities such as enabling Dynamic Frequency Selection (DFS) to increase the number of available 5 GHz channels for client devices. When such an opportunity is detected, AIOps prompts you to either expand channel availability using DFS or continue operating on non-DFS channels.

Currently, AIOps manages nine automated optimizations focused on maintaining a stable, high-performing, and efficient network. The scope of these AIOps-driven operational activities will continue to expand over time as capabilities evolve.

Lower Operating Expenditure (OpEx)

By offloading routine operational tasks to AI, AIOps reduces the level of manual effort required to manage and maintain the network. It continuously monitors network performance and helps ensure key performance indicators (KPIs) are met in real time. By proactively identifying issues and minimizing downtime, AIOps delivers measurable cost savings while improving overall network reliability.

Reduced Complexity

Through continuous analysis of network conditions, AIOps enables smarter, data-driven decisions that support consistently high service levels. IT teams are guided through clear, binary choices for specific optimization actions, significantly reducing the complexity traditionally associated with network management.

Improved Collaboration

AIOps correlates large volumes of data from across the network—including clients, services, and applications—to generate actionable operational insights. These insights enable stronger cross-functional collaboration by aligning IT, operations, and business stakeholders around a shared objective: optimal network performance.

Why AIOps as a Service

Modern IT environments are increasingly dynamic, interconnected, and complex. Rapid data growth, fragmented toolsets, and manual operational decision-making can create silos and slow your ability to operate efficiently and scale effectively.

What Problems Can AIOps Help Solve?

AIOps empowers DevOps, Site Reliability Engineering (SRE), and IT Operations (ITOps) teams with the speed and agility required to detect and respond to incidents early. This proactive approach helps ensure the continuous availability of critical services and delivers a consistently high-quality digital customer experience.

Key AIOps capabilities include:

  • Noise Reduction — Filters and suppresses unnecessary alerts to reduce alert fatigue.
  • Event Correlation — Connects related events across systems to identify root causes faster.
  • Improved Collaboration — Enables better coordination between IT, operations, and business teams through shared insights.
  • Contextual Intelligence — Enriches alerts with relevant data to support faster, more accurate decision-making.
  • Automated Remediation — Resolves common issues automatically, reducing mean time to resolution (MTTR).
AIOps Diagram

Key Benefits

91%

Improvement in Service
Up Time

85%

Reduction in Customer
Found Problems

100%

Visibility into IT Service
KPIs and Outcomes

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