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    IBM Consulting Telco Network Operations Centers (NOC) Agent

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    The IBM Telco Network Operations Center Agent is a comprehensive, AI-powered solution designed to enhance network operations. It directly addresses operational challenges by allowing engineers to interact with diverse data sources using natural language. By consolidating information and automating analysis, the agent eliminates "swivel chair" operations, reduces human error, and empowers technicians with contextual, AI-driven recommendations. This streamline troubleshooting and provides a strategic foundation for future automated network resolutions, significantly cutting down resolution times and reducing ticket escalations.

    Overview

    Communication Service Providers (CSPs) face significant challenges in their Network Operations Centers (NOCs), which are often characterized by manual and time-intensive processes. NOC technicians frequently perform "swivel chair" operations, switching between multiple complex systems to gather and analyze data for troubleshooting network incidents. This data is often fragmented across different platforms and comes in inconsistent formats, making it difficult to get a cohesive view and correlate information effectively. This reliance on manual data consolidation and analysis not only leads to a high Mean-Time-to-Repair (MTTR) and extended network impact but also increases the likelihood of human error. The core pain points for NOC engineers include: • Time Consumption: Constantly switching between disparate systems is inefficient and delays problem resolution. • Data Fragmentation: Information scattered across platforms prevents a comprehensive understanding of network issues. • Complex Interfaces: Each system has a unique interface, requiring engineers to spend time learning and adapting, which reduces efficiency. • Human Error: Manually aggregating data increases the risk of mistakes, leading to incorrect diagnoses and troubleshooting. The IBM Telco Network Agent is designed to address these challenges directly by providing an AI-powered assistant that streamlines network troubleshooting, automates analysis, and empowers engineers with a unified, intelligent interface

    The primary goal of the solution is to provide NOC technicians with contextual recommendations for network incidents by analyzing a wide range of data, including similar historical incidents, root cause analysis (RCA) documents, vendor defects, and knowledge base articles. By consolidating data into a single interface and automating analysis, the agent eliminates swivel chair operations, reduces human error, and provides a strategic foundation for future prescriptive and automated network resolutions.

    Highlights

    • 1. NOC Production-Ready GenAI Framework: A field-tested, E2E solution combining multi-agent backend for immediate deployment in NOCs. 2. Accelerated Incident Resolution: Reduced MTTR by 30-40% by automating complex analysis & streamlining NOC engineer workflows. 3. Insight-Led NOC Operations: Delivering context-aware insights from disparate systems in a single, unified interface.
    • 4. Purpose-Built Agentic Architecture: Modular supervisor/worker framework with specialized, reusable agents for real-time incident analysis & sleeping cell detection. 5. Trust-Driven AI Responses: Incorporates field-tested best practices for AI safety with a multi-layered Adaptive RAG framework that performs hallucination and relevance checks to ensure factually grounded answers.
    • 6. Telco-Specific Reusable Assets: Provides pre-built agents for key network operations challenges, codifying best practices to speed up development. 7. Flexible & Future-Proof LLM Support: Adapts to your enterprise AI strategy with vendor-agnostic support for multiple LLM providers. 8. Accelerated Enterprise Integration: Speeds up data connectivity w/ extensible tools for natural language querying of SQL databases and semantic search.

    Details

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    Deployed on AWS

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