1、 Perspective Accelerating the adoption of telco AI to deliver autonomous networks April 2023 Adaora Okeleke Accelerating the adoption of telco AI to deliver autonomous networks|i Analysys Mason Limited 2023 Contents Contents 1.Executive summary 1 2.Recommendations 3 3.CSPs are adopting AI on their p

2、ath to deploying autonomous networks,but data access is the top challenge 4 Growing revenue,and improving service quality and customer experience are among the strategic objectives driving CSPs investment in AI 4 CSPs should focus on telco AI use cases that create value for their networks and their

3、customers 6 CSPs main obstacle to AI adoption is their lack of access to high-quality data 7 4.CSPs need a clear blueprint for deploying AI uses case and the right vendor partnerships to move to autonomous networks 9 CSPs should adopt an AI use case implementation blueprint,which should be driven by

4、 the ease of access to data and the time that it takes to derive value 9 CSPs should build partnerships with vendors that have combined expertise in telecoms,AI and software 11 5.Conclusion 13 6.About the author 14 List of figures Figure 1.1:CSPs current levels of automation.2 Figure 2.1:Two-stage b

5、lueprint for accelerating telco AI use case deployments.3 Figure 3.1:CSPs strategic business objectives for AI.5 Figure 3.2:CSPs telco AI use case categories.6 Figure 3.3:Top-ranked challenges that CSPs face when developing AI use cases.7 Figure 3.4:Factors that influence the timeline for delivering

6、 AI use cases.8 Figure 4.1:Factors that CSPs should consider when selecting which AI use cases to deploy.10 Figure 4.2:CSPs top vendor selection criteria for AI solutions.12 This perspective was commissioned by Nokia.Usage is subject to the terms and conditions in our copyright notice.Analysys Mason