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NetInsights

NetInsights

Transforming network data into actionable AI-powered insights

NetInsights is a comprehensive, real-time visibility into network performance through advanced analytics, AI-driven anomaly detection, and accelerated root-cause analysis across vendors and domains

NetInsights transforms the overwhelming noise of raw network data into clear, actionable intelligence, empowering your teams to shift from reactive problem-solving to proactive, data-driven decision-making

NetInsights enables

+Real-time monitoring of network performance
+AI/ML powered anomaly detection
+Predictive degradation detection
+Quality of Service (QoS) Monitoring
+KPI dictionary for multi-vendor KPI matching
+Worst offenders across multiple KPIs
+Geographic KPI representation

Why choose Aspire NetInsights?

1

Single source of truth Across Vendors and Domains

2

Embedded Telecom Domain Expertise Out-of-the-Box

3

Proactive AI-Driven insights

4

Accelerated root-cause analysis

NetInsights benefits

1

Fast and reliable E2E visibility of network performance

2

Proactive network maintenance by solving issues before they impact user experience

3

Data driven and AI assisted root-cause analysis

4

Faster issue resolution with reduce engineering effort

References

LATAM Group Operator

NetInsights was launched in the operator with the goal of enabling NOC to have network visibility across multiple vendors. The operator greatly improved the network issue awareness and was able to quickly tackle and resolve any network issue before it impacted its customers via the automated anomaly detection and the predictive degradation detection within NetInsights.

LATAM Multi Country Operator

Aspire partnered with Operator in LATAM to launch NetInsights to increase the network visibility and awareness across domains and vendors. NetInsights enabled the operator to seamlessly benchmark the performance of all countries and RAN vendors, quickly detect and correct network anomalies and monitor service performance across domains all while decreasing operational expenditure.

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