1、DATA+AI RADAR 2022:TELECOMMUNICATIONS INDUSTRY REPORTData+AI Radar 2022:Telecommunications Industry Report|3 External Document 2023 Infosys LimitedContentsTelcos lead in experience and ambition 5But telcos lowest in satisfaction 7How telcos can succeed 11Shift attention from higher-order capabilitie

2、s 11A combined data management approach 11Extensive data-sharing 12Strong ethics and bias management 12Building a multidisciplinary AI team 13Investment in deep learning and data sharing 13Appendix:Research approach 16Authors 18Analysis and production 184|Data+AI Radar 2022:Telecommunications Indust

3、ry ReportExternal Document 2023 Infosys LimitedArtificial intelligence(AI)spending will more than double to$300 billion by 2026,according to IDC.Recent developments in generative AI,such as ChatGPT,are inspiring consumers and companies with new opportunities.But most businesses,particularly telecomm

4、unications,are not getting satisfactory value out of their AI deployments,according to Infosys Knowledge Institutes recent research.The Data+AI Radar 2022 surveyed 2,500 AI practitioners from companies across 12 industries that have annual revenue of more than$500 million in the US,UK,Germany,France

5、,Australia,and New Zealand.The study found that telecom firms have more AI experience than firms in other industries,and they are aiming to deliver more sophisticated use cases than them on an average.Yet they have the lowest satisfaction rate with their AI deployments.Also,they still struggle with

6、basic issues such as being able to clearly identify the problems for AI to solve.This means they are not applying AI to the right business problems perhaps the reason for the low satisfaction.However,there is a glimmer of hope for the industry.Telcos are better than average at data verification,ethi