Insights / Software Intensive Networks

Predicting and preventing network problems leveraging AI

Implement a network event prediction model to improve service assurance

Today, service providers’ customers expect access to the products and services and enhanced customer experience anytime, anywhere. Hence, service providers should focus on service assurance and look for ways to address common problems such as accumulated faults, traffic congestion, and reactive event handling of networks. Further, reacting to a network event after it has occurred is not acceptable.

With the overwhelming volume and complexity of data from the service assurance domain, AI/ML techniques bring much value. By leveraging AI/ML in service assurance, service providers can analyze tons of data from various sources, derive insights, and take real-time preventive actions. Hence service providers should implement a network event prediction model to predict the network event failures and outages even before they occur.


By leveraging AI/ML in service assurance, service providers can analyze tons of data from various sources, derive insights, and take real-time preventive actions.

    Authors:
  • Avaiarasi S
  • Vijay Anand R
  • Archana SR
  • Mogan AB
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