Amdocs Network AIOps for Azure

Telecom network engineers are facing unprecedented challenges as networks become more complex, data volumes surge, and customer expectations rise. Amdocs Network AIOps for Azure is a telco-grade, AI-powered solution built on Microsoft Fabric, Azure ML, and OpenAI. It ingests massive amounts of telemetry data, detects anomalies, performs root cause analysis, and enables automated remediation. The solution correlates network events, identifies issues and remediates them while assessing the customer impact to enabling highest resolution priorities and proactive engagement reducing customer churn due to network issues. Amdocs solution supports a phased automation journey—from human-assisted MOPs to closed-loop automation—ensuring trust and reliability. Designed for CSPs deeply invested in Microsoft’s ecosystem, it integrates seamlessly with existing IT governance, security, and enterprise tools.

Key Challenges Faced by Network Engineers:

1. Increasing Network Complexity
   Modern telecom networks span multiple domains (RAN, Core, Transport) and technologies, often involving multi-vendor environments. This complexity makes fault detection and resolution more difficult and time-consuming.
2. Siloed Operations Across Vendors and Technologies
   Disconnected systems and fragmented data across OSS, BSS, and network layers prevent holistic visibility and coordinated responses. Engineers struggle to correlate events and prioritize issues based on customer impact.
3. Manual Toolsets and Limited Automation
   Many operators still rely on manual processes and legacy tools, which are insufficient for managing the scale and speed of today’s networks. This leads to slower response times and higher operational costs.
4. Disparate AI/ML Adoption
   AI/ML initiatives are often isolated within specific domains and lack integration into broader operational workflows. This limits their effectiveness and keeps them in the realm of academic experimentation rather than real-world deployment.

Business Impact of These Challenges:

• Declining Customer Experience due to delayed fault resolution and service disruptions.
• Rising Operational Costs as more resources are needed to manage growing complexity.
• Blind Spots in Data Utilization where valuable insights are lost due to fragmented systems.
• Slowed Innovation caused by workforce misalignment and inadequate tooling.

How Amdocs Network AIOps on Azure Addresses These Challenges:

Amdocs Network AIOps on Azure is a comprehensive, AI-native solution designed to modernize telecom operations and empower network engineers with intelligent automation and actionable insights.

Solution Capabilities:

• Unified Data Fabric: Integrates telemetry, customer profiles, and operational data across domains to eliminate silos.
• Automated Fault Detection & RCA: Uses AI/ML to detect anomalies in real time and perform root cause analysis with minimal human intervention.
• Closed-Loop Remediation: Executes automated playbooks to resolve issues quickly and efficiently.
• Operationalized AI/ML: Transitions models from theory to practice, embedding them into daily workflows for predictive maintenance and performance optimization.
• Comprehensive Visibility: Provides dashboards and analytics that give engineers a full view of network health and customer impact.