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Overview

Infosys Smart Network Assurance (ISNA) is an advanced, cloud-native network AIOps solution that combines Agentic AI techniques with supervised and unsupervised AI/ML models to propel telcos and enterprises towards building autonomous network operations. ISNA offers the following capabilities:

  • Agentic AI framework for faster realization of autonomous network operations use cases.
  • Predict network issues through machine learning and correlations on network data.
  • Analytics workbench facilitating MLOps by streamlining model development and deployment, improving decision-making.
  • Self-heal network issues through workflow-driven automation.
  • Manage networks by leveraging insights from network data.
Infosys Applied AI

Infosys Smart Network Assurance provides predictive, automated maintenance of networks, enabling customer-centric and analytics-driven digital network operation centers. It helps telecom service providers achieve high availability of network services and considerable OpEx improvements. Additionally, it supports use cases on the latest technology advancements, including SDN, 5G, and IoT.

Artificial Intelligence (AI) and Machine Learning (ML) driven closed-loop assurance platform

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Infosys Smart Network Assurance enables real time network data enriched with Agentic AI framework paving the way for a more improved network performance and reliability. Partnering with Infosys will ensure high network availability, deliver reliable services to customers at reduced OPEX, while improving Operator effectiveness and offering Agentic AI toolkit support.

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Challenges & Solutions

Infosys Smart Network Assurance uses machine learning algorithms to automatically diagnose network issues by correlating real-time events and suggesting root cause analysis (RCA).

Infosys Smart Network Assurance identifies, alerts, and fixes network faults in real time, offering the benefits of closed-loop assurance.

Unified dashboards of Infosys Smart Network Assurance offer analytic insights on heterogeneous network data, aiding in the improvement of NOC operators' response times.

By focusing Network Operator’s attention on truly critical events, agentic AI can significantly improve operational efficiency and reduce the risk of missing critical issues.