Incedo Proxima Intelligent Network Operations

Move from Reactive Operations to Predictive Network Intelligence

Modern networks generate massive volumes of alarms, telemetry, logs, and performance signals every second. Yet many operations teams still respond only after customers are impacted. By the time alerts are escalated, revenue, service quality, and customer trust may already be at risk.

Incedo Proxima helps service providers shift from reactive firefighting to proactive network assurance. The platform continuously analyzes network behavior, detects emerging anomalies before they become incidents, and enables faster intervention with AI-driven insights and recommended actions.

Instead of managing outages after they happen, organizations gain the ability to prevent disruption, strengthen resilience, and improve customer experience at scale.

Why Traditional NOC Models Fall Behind

Legacy network operations often depend on threshold alerts, siloed monitoring tools, and manual correlation across infrastructure layers. Teams are flooded with alarms but lack context on what matters most, where the issue originated, or what action should be taken first.

This creates longer resolution times, repeated incidents, avoidable outages, higher operating cost, and increased churn from poor service experiences.

How the Platform Creates Value

Proxima ingests telemetry, alarms, logs, topology signals, and service performance data from across the network ecosystem. AI models continuously learn normal operating patterns and identify deviations that may signal degradation, congestion, failures, or impending outages.

The platform can automatically prioritize risks, alert the right stakeholders, recommend remediation steps, and perform AI-driven root cause analysis across domains such as access, transport, infrastructure, and customer-impact layers.

Operational teams receive one intelligent view of network health—helping them act earlier, resolve faster, and prevent repeat issues.

Built Using AWS Services

The solution is built on AWS and can leverage Amazon Kinesis for real-time telemetry ingestion, Amazon SageMaker for anomaly detection and predictive models, Amazon Bedrock for AI-assisted root cause analysis and recommendations, Amazon S3 for secure data storage, AWS Glue for data engineering, AWS Lambda for workflow automation, Amazon Redshift for operational analytics, Amazon QuickSight for dashboards, and Amazon CloudWatch for infrastructure observability.

What This Enables

Organizations gain proactive anomaly detection, earlier outage prevention, faster root cause identification, smarter stakeholder alerting, reduced alarm noise, improved network resilience, lower operational effort, and better customer experience across digital services.

Why It Matters

With the right intelligence layer in place, providers can reduce downtime, shorten mean time to resolution, improve service reliability, lower churn risk, optimize operations teams, and build a future-ready network operating model powered by AI.