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AI and Operations Automation in 5G Networks

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Actionable Benefits

  • Determine key industry trends that are creating a spike in demand for AI/ML in telco operations.
  • Educate strategy teams and product engineers on key design requirements for AI/ML-powered software as the industry progresses towards fully autonomous, cognitive platforms.
  • Identify key use cases and end verticals that the industry can use as a guidance to unlock innovation and new value creation from AI/ML-based platforms.

Critical Questions Answered

  • How are some CSPs implementing AI/ML to modernize their operations and NOCs into more cognitive environments?
  • What are the key operations and automation pillars that can benefit from AI/ML to support an inherently distributed network such as 5G?
  • What are some key lessons that should be considered part of the overall automation journey as CSPs transform their operations towards more hyperscale-based capabilities?

Research Highlights

  • Insights on key elements that both vendors and CSPs must consider as they implement AI/ML-based network automation in 5G networks.
  • Analysis of different policy management systems, ‘basic’ and closed-loop automation and their applicability in aiding CSPs edge closer to zero-touch operations.
  • An overview of key technology pillars that technology providers must satisfy for effective and high-quality automation capabilities.

Who Should Read This?

  • Decision makers for network and IT infrastructure who need to understand key telco automation imperatives. 
  • Technology providers who need to understand how software and cloud platforms can be used to simplify network operations.
  • CSPS and SIs who need to understand various other aspects that underpin service provider’s organizational structure in addition to technology. 

Table of Contents

Table of Contents

1. EXECUTIVE SUMMARY

2. RECOMMENDATIONS

3. A COMPLEX TELCO ECOSYSTEM

3.1. New Services and Business Applications
3.2. New Network and Infrastructure Technologies

4. AI AND ML IN TELCOS

4.1. Three Major Types of AI Functions
4.2. Evolving Toward a Cognitive Telco
4.3. Machine Learning in Communications

5. AI/ML-BASED AUTOMATED 5G NETWORK OPERATIONS

5.1. AI/ML-Based Automation
5.2. Flavors of Closed-Loop Automation
5.3. Centralized and Distributed Decision-Making and Policy Management
5.4. Key Operations Pillars for Containerized 5G Networks

6. AI/ML FOR 5G USE CASES

6.1. Network Services and Operations Use Cases
6.2. AI/ML Layer Based on Openness and Modularity
6.3. Automation Is More Than Technology

7. MARKET FORECASTS

8. CSP DEPLOYMENTS AND VENDOR PROFILES

8.1. Example CSP Deployments
8.2. Telco Vendor Profiles
8.3. Hyperscaler Profiles