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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

7、cs and bias management,and using deep learning,all of which relate to positive business and AI outcomes.But to truly lead,the industry needs to get better at identifying problems that AI can address,focus on simpler AI solutions,and invest in AI infrastructure and compute resources.Data+AI Radar 202

8、2:Telecommunications Industry Report|5 External Document 2023 Infosys LimitedTelcos lead in experience and ambitionAI is a new technology area,and the study found that most of the industries had their first AI deployment as late as three years ago.However,telcos have more experience in comparison.A

9、significant number of telcos that were surveyed started AI deployment as early as five years ago(Figure 1).Many implemented it in the last three years.Though there was negligible activity over five years ago,it is higher than the industry average.Having said that,telcos may require much more AI expe

10、rience than this to successfully achieve higher-order capabilities.Figure 1:AI deployment time frame And telcos are trying to achieve greater AI capabilities.The Infosys survey shows that 17%of the interviewed telcos(Figure 3)are at the Evolve stage,which means,they are attempting to achieve top AI

11、capabilities where AI can respond,train itself,and improve.Close to 25%are at the Respond stage,where AI can understand and act autonomously.However,57%are at the Sense and Understand stages,where their AI can only identify patterns,and sense and make predictions,which requires human involvement.Des

12、pite being slightly higher than the overall industry average in the first two categories 42%combined versus 37%(Figure 2)telcos are failing to deliver.Figure 2.Sense,Understand,Respond,and Evolve(SURE)taxonomy:Only 15%achieve top AI capabilitiesFigure 3.SURE taxonomy:Only 17%telcos achieve top AI ca

13、pabilities3%1%38%14%51%35%8%30%1%21%5+years ago2017 or earlier3-4 years ago2018-20192 years ago20201 year ago2021$5 billionEvaluationStrategyImplementation26%26%48%Role in AI18|Data+AI Radar 2022:Telecommunications Industry ReportExternal Document 2023 Infosys LimitedAuthorsSamad Masood|Infosys Know

14、ledge Institute,LondonPriyanka Haldipur|Infosys Knowledge Institute,Bangalore Analysis and ProductionIsaac LaBauve|Infosys Knowledge Institute,Dallas 2023 Infosys Limited,Bengaluru,India.All Rights Reserved.Infosys believes the information in this document is accurate as of its publication date;such

15、 information is subject to change without notice.Infosys acknowledges the proprietary rights of other companies to the trademarks,product names and such other intellectual property rights mentioned in this document.Except as expressly permitted,neither this documentation nor any part of it may be re

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