印孚瑟斯(Infosys):2024年電信行業生成式AI雷達報告(英文版)(14頁).pdf

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印孚瑟斯(Infosys):2024年電信行業生成式AI雷達報告(英文版)(14頁).pdf

1、GENERATIVE AIRADARTELECOMMUNICATIONS Generative AI Radar Telecommunications|3External Document 2024 Infosys Limited Generative AI Radar TelecommunicationsGenerative AI is still new,yet enterprises are already exploring its transformative potentialThis year will bring further developments in generati

2、ve AI as organizations familiarize themselves with this transformative technology.So where are they now?Through this study we aimed to uncover how companies use generative AI,how much they spend on it,how its being rolled out,and where it makes an impact.We looked at 3,000 companies across 12industr

3、ies:Many companies told us they are already spending significant sums of money-and are set to spend more this year.However,this pattern isnt the same across sectors.In this data book we highlight how telecommunications compares with the rest of thepack.Automotive Consumer package goods Energy,mining

4、,or utilities Financial services Healthcare High tech Insurance Life sciences Logistics or supply chain Manufacturing Retail or hospitality Telecommunications4|Generative AI Radar TelecommunicationsExternal Document 2024 Infosys Limited Generative AI spendingGenerative AI spending is growing far slo

5、wer in telecoms than other industriesSpending by telecoms is set to grow by 32%in 2024 Telecomsspent$179 million on generative AI in 2023.This is projected to grow to$237 million in 2024.Generative AI spending growth in telecoms lags most other industries Spending on generative AI is expected to gro

6、w by only 32%in the next year.This is among lowest growth across the 12 industries wesurveyed.$0$100$200$300Spending in millions($USD)$23720232024$17932%Reported spendExpected spendTelecommunicationsRetail and hospitalityManufacturingLogistics and supply chainLife sciencesInsuranceHigh techHealthcar

7、eFinancial servicesEnergy,mining,and utilitiesConsumer packaged goodsAutomotive32%88%103%73%36%358%135%53%164%76%65%169%IndustryExpected generative AI spending growth in 2024Telecom generative AI spendingExpected generative AI spending growth in 2024 by industryGenerative AI Radar Telecommunications

8、|5External Document 2024 Infosys Limited Generative AI adoption45%of telecom companies are implementing or have generated business value from generative AINearly all telecom companies have started their generative AI journey 89%of the industry has started experimenting with generative AI.Nearly 10%h

9、as use cases that generate business value.Most telecoms are experimenting with generative AI A higher percentage(45%)of telecom companies are experimenting with generative AI than the overallsample.8%13%11%15%37%40%45%31%Does not have generative AI initiativescurrently but is planning to implementIs

10、 experimenting with generative AIand/or defning proofs of conceptHas implemented,or is currentlyimplementing,generative AI solutionsHas established generative AIuse cases that create business valueIncreasing generative AI adoption levelRespondents(%)TelecommunicationsTotal sampleGenerative AI adopti

11、on by proportion of respondents6|Generative AI Radar TelecommunicationsExternal Document 2024 Infosys Limited User experience drives generative AI optimism for telecomsFocus on users underlines difference between this consumer-facing industry and others in our researchTelecom companies are more opti

12、mistic about user experience 54%of telecoms believe generative AI will have the biggest positive impact on user experience and personalization much higher than the overall trend(31%).31%19%17%24%10%27%19%54%TelecommunicationsTotal sampleEnhanced user experienceand personalizationImproved contentgene

13、ration and creativityIncreased operationalefciency and automationStreamlined productdevelopment and designRespondents(%)Where companies expect generative AI to have the most impactGenerative AI Radar Telecommunications|7External Document 2024 Infosys Limited Generative AI Radar Telecommunications|7E

14、xternal Document 2024 Infosys Limited 8|Generative AI Radar TelecommunicationsExternal Document 2024 Infosys Limited Telecoms are upbeat about the impact of generative AIRespondents expect a positive impact on business areasBroad optimism in line with other sectors Respondents were generally positiv

15、e on the type of impact generative AI would have on business areas like revenue,business model,talent,reputation,profit,and cost efficiency.Telecommunications respondents held roughly the same sentiment.Note:We calculated“business impact sentiment”by asking survey respondents to rate their sentiment

16、 on generative AIs impact on the following business areas:business model,cost efficiency,profit,reputation,revenue,and talent.Then we combined those answers into one measure.Respondents(%)TelecommunicationsTotal sample76%20%9%71%17%8%Survey populationNegative sentimentNeutral sentimentPositive senti

17、mentBusiness impact sentimentExpectated generative AI impact on business areas by proportion of respondentsGenerative AI Radar Telecommunications|9External Document 2024 Infosys Limited Obstacles to generative AI adoptionTelecom companies rank ethics and bias concerns as the top barrier to generativ

18、e AI adoptionEthics and data privacy top list of challenges 35%of telecom companies ranked ethics and bias as their key challenge to generative AI adoption,compared to 21%of the overall survey.Telecoms much less concerned with data usability Only 11%of telecom respondents reported data usability as

19、their top obstacle to generative AI adoption,half that of the overall sample.Note:Percentage of respondents ranking challenge as biggest obstacle to implementing generative AI.Percentages do not add up to 100%because of rounding.Obstacles to generative AI adoption by proportion of respondentsRespond

20、ents(%)4%2%5%6%5%8%11%10%11%22%30%30%21%TelecommunicationsTotal sampleConcerns about ethics,bias,fairness,safetyData privacy and securityData not in a usable stateLack of skills,knowledge,or resourcesLack of investmentC-suite buy-inCant access generative AI toolsfrom corporate computers35%10|Generat

21、ive AI Radar TelecommunicationsExternal Document 2024 Infosys Limited Workforce generative AI readinessTelecoms are more ambivalent about their teams readiness for generative AITelecom firms align with other sectors on levels of positivity and ambivalence Telecommunications is significantly more amb

22、ivalent about workforce generative AI readiness than our overall sample(41%vs.28%).Sentiment on workforce readiness to adopt generative AI by proportion of respondentsNote:Sentiment on workforce readiness to adopt generative AI.Percentages do not add up to 100%because of rounding.Negative sentimentN

23、eutral sentimentPositive sentimentRespondents(%)TelecommunicationsTotal sample56%67%41%28%5%3%Generative AI Radar Telecommunications|11External Document 2024 Infosys Limited Generative AI Radar Telecommunications|11External Document 2024 Infosys Limited 12|Generative AI Radar TelecommunicationsExter

24、nal Document 2024 Infosys Limited Primary sponsor of generative AI initiativesThe chief operating officer is the main sponsor of generative AI for more than a quarter of telecomsCOOs sponsor generative AI in the telecom industry more than the overall trend 27%of telecom companies report that the COO

25、 primarily sponsors generative AI,compared with only 9%of our totalsample.Fewer telecom CIOs are the primary sponsor of generative AI In 29%of companies,the CEO is the primary sponsor of generative AI.In telecoms,only 14%reported thesame.Primary sponsor of generative AI intiatives by proportion of r

26、espondentsRespondents(%)TelecommunicationsTotal sampleBoard of directors16%13%Chief information ofcer14%29%Chief executive ofcer12%9%Cybersecurity/chief Information security ofcer9%17%Leader of a business unit9%9%Chief marketing ofcer9%4%To be determined4%10%Chief operating ofcer27%9%Generative AI R

27、adar Telecommunications|13External Document 2024 Infosys Limited Primary generative AI policy makerGenerative AI governance is less likely to come from telecom CIOsCIOs in telecoms govern generative AI less than CIOs in other industries Only 14%of telecom CIOs primarily own these regulations and pol

28、icies for their company,compared with 25%in the overall trend.However,telecom product owners take the lead more often 21%of telecom companies reported that product owners take the lead on generative AI governance,compared with 14%of the total sample.Respondents(%)TelecommunicationsTotal sampleTo be

29、determinedLegalCybersecurity/chiefinformation security ofcerChief operating ofcerChief information ofcer orotherwise within ITWithin business units andindividual product ownersBoard of directors24%22%21%13%14%13%5%12%16%10%5%6%13%25%Primary generative AI policy maker by proportion of respondents14|G

30、enerative AI Radar TelecommunicationsExternal Document 2024 Infosys Limited 14|Generative AI Radar TelecommunicationsExternal Document 2024 Infosys Limited About Infosys Knowledge InstituteThe Infosys Knowledge Institute helps industry leaders develop a deeper understanding of business and technolog

31、y trends through compelling thought leadership.Our researchers and subject matter experts provide a fact base that aids decision making on critical business and technology issues.To view our research,visit Infosys Knowledge Institute at or email us at .16|Generative AI Radar TelecommunicationsExtern

32、al Document 2024 Infosys Limited 2024 Infosys Limited,Bengaluru,India.All Rights Reserved.Infosys believes the information in this document is accurate as of its publication date;such information is subject to change without notice.Infosys acknowledges the proprietary rights of other companies to th

33、e 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 reproduced,stored in a retrieval system,or transmitted in any form or by any means,electronic,mechanical,printing,photocopying,recording or otherwise,without the prior permission of Infosys Limited and/or any named intellectual property rights holders under this document.For more information,contact I|NYSE:INFYStay Connected

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