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Introduction

This report is the second in our series of reports on using AI to improve network operations. It includes brief case studies on the types of use cases already adopted by top-tier CSPs such as NTT DoCoMo, SK Telecom, and Vodafone.

Highlights

  • CSPs are prioritizing investment in AI use cases that enhance network operations with a view to addressing their top business challenge – personalizing customer experience.
  • An increasing number of CSPs across all tiers have either implemented AI in network management or are actively running PoCs, which they plan to get to production by the end of 2018.

Features and Benefits

  • Provides brief case studies on how early CSP adopters of AI are utilizing AI in their networks
  • Provides key lessons from existing AI deployments

Key questions answered

  • What AI use cases are CSPs currently implementing within their networks?
  • What key lessons can CSPs and vendors learn from these existing AI implementations?

Table of contents

Summary

  • Catalyst
  • Ovum view
  • Key messages

Recommendations

  • Recommendations for CSPs
  • Recommendations for vendors

CSPs prioritize investment in AI use cases that enhance network operations

  • Using AI to improve network operations leads CSPs' AI investment plans

How CSPs are taking advantage of AI

  • Current AI deployments start with AI-assisted use cases, with autonomous operations planned in the future
  • NTT DoCoMo transforms OSS operations using AI
  • SK Telecom has developed an AI-assisted OSS platform
  • Vodafone utilizes AI to evolve and automate mobile network operations
  • Other operators are also actively running trials

Lessons learned

  • For both CSPs and vendors
  • For CSPs
  • For vendors

Appendix

  • Methodology
  • Further reading
  • Author

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