How can Telcos use AI-powered Network Analytics

How can Telcos use AI-powered Network Analytics

How can Telcos use AI-powered Network Analytics to improve the quality of experience for their subscribers. Rolling out and scaling a resilient 5G network

COVID has brought networks across the globe into sharp focus as employees across the globe have had to resort to working from home. In addition to this, more stress has been put on the network with the growth in remote education, mobile gaming, increased streaming of HD and 4K video and the emergence of 5G. In the ultra-competitive Communication Service Provider (CSP) environment wherein subscribers can easily switch their service providers CSPs’ need to provide a quality of experience (QoE) that minimises possible churn and provides a competitive advantage to the CSP. For the CSPs’ this has meant an increased focus on ensuring the current networks can cater to the increased bandwidth requirements whilst ensuring good customer experience through AI-powered intelligent network operations. This, along with the ongoing rollout of 5G, has resulted in a renewed focus on network analytics to ensure :

  • Improvement in customers’ network quality of experience
  • Effective planning and management of dense networks
  • End-to-end automation across the network

The ability to use network resources effectively and predict faults/alarms before they appear gives a pretty good measure of the maturity of the CSP w.r.t. Network Analytics. The primary use cases CSPs are focusing on to improve the maturity of network analytics include:-

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