1、AI in telecoms:a strategic guidefor operators and vendors October 2024AI in telecoms:a strategic guide for operators and vendorsContents2IntroductionDrivers for AI investment in telecoms and use casesA blueprint for AI adoption in telecomsThe AI ecosystem for telecomsAbout Analysys Masons AI-related

2、 research and insightsAI in telecoms:a strategic guide for operators and vendorsIntroduction:the telecoms industrys exploration of AI is hampered by a lack of certainty about which options to implementAI applications:delivery layerAI platforms:development layerAI infrastructure:compute layerServicea

3、ssuranceChatbotsNetwork planning/designContentgenerationServicebundle creationSecurityNetwork and IT operationsNetworkautomationDatamanagementAI applicationdevelopmentFoundationmodelsMLOpsModeldevelopmentAIgovernance Cloud software(CaaS/IaaS)Cloud-basedcomputeCloudnetworkingSource:Analysys MasonColl

4、ectively,the telecoms industry is continuing its active exploration of ways to use AI technologies to transform networks,operations and customer experience.Individually,there is concern and uncertainty about which AI opportunities to pursue.Industry stakeholders need clarity around which activities

5、will prove instrumental to success in the telco AI market:this includes the key use cases themselves,the nuances associated with these use cases and the most valuable capabilities and ecosystem partnerships to develop.This document provides an overview of our rich variety of AI research and reports

6、to offer a framework that sheds light on difficult questions regarding AI adoption and the critical success factors for operators.Components of the AI value chain AI in telecoms:a strategic guide for operators and vendors4Challenge:telecoms operators are unsure about which AI use cases to prioritise