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AI & Machine Learning Telco Digitization

Artificial Intelligence in Telecom Networks

Artificial Intelligence and Machine Learning are the new hot topic in telco networks and for a good reason: They are sitting on a massive pyramid of diverse customer and network data where Artificial Intelligence (AI) can be used to understand, optimize, and improve business and network capabilities.

This research report explores the intersection of different AI technologies with telco operations. It examines use cases within Customer Management, Cybersecurity, and Network Automation wherein AI can prove to be very effective to telcos. It constructs an AI implementation roadmap for telcos in their journey to be “next-gen” service enablers and covers a few leading vendors that are providing AI technology to telcos worldwide.

Table of Contents

  • 1. EXECUTIVE SUMMARY
  • 2. FUNDAMENTALS
  • 3. CUSTOMER MANAGEMENT
    • 3.1. Targeted Marketing and Sales
    • 3.2. Omnichannel and Automated Payment/Orders
    • 3.3. Chatbots
    • 3.4. Service Assurance
    • 3.5. Summary and Conclusions
  • 4. CYBERSECURITY
    • 4.1. Summary and Conclusions
  • 5. NETWORK AUTOMATION
    • 5.1. Summary and Conclusions
  • 6. MARKET FORECAST AND ANALYSIS
    • 6.1. Methodology
  • 7. CONCLUSIONS AND RECOMMENDATIONS
    • 7.1. Start with Customer Management
    • 7.2. Continue with Service Assurance
    • 7.3. Final Frontier: Network Automation
  • 8. PROFILES
    • 8.1. Aria Networks
    • 8.2. Darktrace
    • 8.3. NOKIA
    • 8.4. Tamr
    • 8.5. ZTE
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Research Information

  • Price Log in to view pricing
  • Publish Date 4Q 2017
  • Research Type Technology Analysis Report
  • Code AN-2555
  • Pages 24
  • Tables 3
  • Charts 1
  • Figures 11
  • File Format PDF

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