生成式人工智能在能源和材料领域中的新机遇(英文版)--麦肯锡.pdfVIP专享

February2024GlobalEnergy&MaterialsPracticeBeyondthehype:NewopportunitiesforgenAIinenergyandmaterialsGenerativeAIcancreateadditionalvaluefromotherformsofAIandanalytics—andtheenergyandmaterialssectorisuniquelywell-positionedtobenefitfromtheseadvancements.ThisarticleisacollaborativeeffortbyFilipeBarbosa,SoenkeLehmitz,JukkaMaksimainen,LapoMori,BryanRichardson,ErikRoth,HumayunTai,SapnaThakker,IanWells,andRodneyZemmel,representingviewsfromMcKinsey’sGlobalEnergy&MaterialsPractice.It’snearlyimpossibletoscrollthroughdailyheadlineswithoutencounteringcommentaryongenerativeAI(genAI)—thelatestfrontierofartificialintelligence.ItseemsasifeverySiliconValleypersonality,venturecapitalist,orcasualtechnologististalkingaboutChatGPTorBard,amongdozensofothersystems,andthepotentialthesetoolshavetounlockpossibilitiesfarbeyondimagination.Howcloselyshouldleaderspayattentiontothehype?Thisisn’tthefirsttimethattechnologypunditshavelinedupbehindthelatestbestthing.ShouldgenAIbedismissedasafad,orshouldleadersdoubledownonthelatesttoolsasthepanaceafortheirtechnicaltroubles?Theanswerislikelyneither.Ourresearchshowsthatorganizationsthatrelyoninnovation,dataanalysis,andprocessautomationstandtobenefitthemostfromgenAI.Withintheagricultural,chemical,energy,andmaterialssectors,manycompaniesarenowmovingbeyondstraightforwardusecasesandtakingincreasinglyinnovativeapproachestoadoptinggenAI,andestimatesshowthatanadditional$390billionto$550billionofvaluecanbecreatedintheyearstocome.HarnessingthepowerofgenAIGenAI’spotentialtoaccelerategrowthandreducecostscannotbeignored(exhibit).Thisisparticularlytruefortheenergyandmaterialsspace,whichreliesheavilyondataandanalyticsforinnovationandcomprisessectorsbuiltuponincreasinglynuancedandcomplicatedprocesses.Simplystated,genAIaddsintelligencetoanydata,whichcanthenbeusedtoinformdecisionmaking—potentiallyreducinglongprocessestoasinglequestion—anditenablesworkerstogainpreviouslyunknownExhibitGenerativeAIcouldcreateadditionalvaluepotentialabovewhatcouldbeunlockedbyotherAIandanalytics.McKinsey&CompanyAI’spotentialimpactontheglobaleconomy,$trillion1Updatedusecaseestimatesfrom“NotesfromtheAIfrontier:Applicationsandvalueofdeeplearning,”McKinseyGlobalInstitute,April17,2018.Source:“TheeconomicpotentialofgenerativeAI:Thenextproductivityfrontier,”McKinsey,June14,2023Advancedanalytics,traditionalmachinelearning,anddeeplearning1NewgenerativeAIusecasesTotalusecase–drivenpotentialAllworkerproductivityenabledbygenerativeAI,includinginusecasesTotalAIeconomicpotential11.0–17.713.6–22.117.1–25.62.6–4.46.1–7.9~15–40%incrementaleconomicimpact~35–70%incrementaleconomicimpact2Beyondthehype:NewopportunitiesforgenAIinenergyandmaterialsknowledgeorcapabilities.Withthisinmind,thegrowinglistofexcitingandnontrivialpotentialusecasesinmining,oilandgas,chemicals,agriculture,power,andmaterialsisamplereasonforleaderstoseriouslyconsidergenAI(seesidebar,“WhatisgenerativeAI,andwhyalltheexcitement?”).However,thispromisecanonlyberealizedifthereisaclearvisionofhowtoharnessthepowerofgenAI—andunderstandinghowtocutthroughthenoisecanbedifficult.IndustryplayerswillneedtotakeahardlookathowgenAIfitswithintheircurrentdigitalstrategies.Thisincludeswhethertheorganizationhasthedigitalcapabilitiestoenablethesetechnologies,whethertorolloutcommoditizedsolutionsastheybecomeavailable,orwhethertodesignsomethingto...

1、当您付费下载文档后,您只拥有了使用权限,并不意味着购买了版权,文档只能用于自身使用,不得用于其他商业用途(如 [转卖]进行直接盈利或[编辑后售卖]进行间接盈利)。
2、本站所有内容均由合作方或网友上传,本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺!文档内容仅供研究参考,付费前请自行鉴别。
3、如文档内容存在违规,或者侵犯商业秘密、侵犯著作权等,请点击“违规举报”。

碎片内容

碳中和
已认证
内容提供者

碳中和

确认删除?
回到顶部
微信客服
  • 管理员微信
QQ客服
  • QQ客服点击这里给我发消息
客服邮箱