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.
- 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
- 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
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