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Introduction

This report identifies the challenges that CSPs will encounter as they rollout 5G networks, the role that AI can play in addressing these challenges and how CSPs can prepare themselves to take advantage of AI to improve their 5G networks

Highlights

  • 5G will come with many benefits to CSPs but this will be tempered by the challenges of managing an increasingly complex network environment.
  • AI’s real-time, predictive, and decision-making capabilities can be applied to address these challenges, (e.g., to detect and analyze trends within the massive volumes of data generated by the 5G network).
  • CSPs should build the right data strategy, infrastructure, processes, and skills to take advantage of the opportunities that AI will bring to 5G networks.

Features and Benefits

  • Assesses the challenges that CSPs will expect when managing 5G networks.
  • Highlights use cases where AI can be implemented to address these challenges.
  • Analyzes critical factors that must be considered when deploying AI to manage 5G networks.

Key questions answered

  • What challenges should CSPs expect when deploying 5G networks?
  • Can AI address these challenges?
  • What do CSPs need to bear in mind when considering investing in AI to support 5G networks?

Table of contents

Summary

  • Catalyst
  • Ovum view
  • Key messages

Recommendations

  • Recommendations for communications service providers
  • Recommendations for vendors

The reality that comes with 5G

  • 5G comes with benefits, but challenges as well

How AI can support CSPs’ 5G networks

  • Data: 5G’s double-edged sword
  • AI use cases to support 5G networks

Key factors to consider when preparing to use AI in 5G network

  • A CSPs AI implementation strategy for 5G must align with its 5G deployment strategy
  • Build a clear data strategy for 5G
  • Emphasize the need for APIs
  • Have the right skills in place
  • Transparency in AI

Appendix

  • Methodology
  • Further reading
  • Author