assurance services

Achieving Reliable AI Models for Network Performance Assurance

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Achieving Reliable AI Models for Network Performance Assurance

AI models are only as good as the data they are trained on. For AI models to be truly useful, they require accuracy, granularity, and diverse sources of data—like how the quality of a photograph depends on sharpness and clarity, level of detail, and the information it conveys. Accuracy is how true to life an image is—if it’s blurry or distorted, the details are misleading. Granularity is the level of detail captured—zoomed out, you get…

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The Next Wave of Service Assurance: Driving Revenue and Customer Experience

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The Next Wave of Service Assurance: Driving Revenue and Customer Experience

Communications service providers (CSPs) are starting to think about service assurance in a new light, recognizing—and reaping—value from the technology beyond its baseline capacity to support performance monitoring and assurance. By using high-quality performance data from the same set of assurance sensors or probes, but making the insights more accessible to different internal and external user personas in a fully customizable and secure way, providers can differentiate their services and create new revenue opportunities. If…

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Myth-Busting Assurance: Device-Centric vs. Service-Centric and Why Both Are Key

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Myth-Busting Assurance: Device-Centric vs. Service-Centric and Why Both Are Key

Today, many systems look at assurance purely on a device level, using port stats, device health, syslogs, and other infrastructure or device-based telemetry data. It’s useful to understand and get insight from a device perspective, but this insight is reactive. Likewise, the primary way to discover that a customer or end user is impacted by network performance issues in this scenario is still through trouble tickets. However, if a customer has already taken the time…

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