Gartner Research

How CSPs Can Exploit Artificial Intelligence and Machine Learning

Published: 13 April 2017

ID: G00325757

Analyst(s): Charlotte Patrick


Communications service providers have a variety of different problems, interactions and process automation opportunities that could be tackled by advanced analytics. This research enables the technology strategic planners to understand where to focus their efforts.

Table Of Contents
  • Key Challenges



  • Focus on Operational Areas Which Provide the Most Complex Problems
  • Prioritize Your Use of ML Toward Problems That Can't Be Easily Solved by a Human
    • Understanding the Downsides of ML
    • Understanding the Types of Problems Best Tackled by ML
  • Selecting the Most Pressing Use Cases for Artificial Intelligence
    • Understanding the Downsides of AI
    • Understanding the Types of Problems Best Tackled by AI
    • Recommendations
  • Take a Short Cut to the Areas Most in Need of AI and ML
    • First, Look For Human Interactions With Other Humans and Machines
    • Next, Look to Network-Related Use Cases
    • Expand Usage of AI and Machine Learning to Uncover Hidden Insights
    • Look for High Volume, Repetitive Tasks That Involve Significant Head Count
    • Recommendations

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