BCG-工业分销商价值创造者2023(英)_市场营销策划_重点报告202301202_doc.docx
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1、GenerativeAPsRoleintheFactoryoftheFutureDECEMBER08,2023ByDanielKupper,KristianKuhlmann,MonikaSaundersjJohnKnapp,Kai-FredericSeitzjJuIianEnglberger,TilmanBuchner,andMartinKleinhansREADINGTIME:15MINGenerativeAlisoneoftoday,shottestbusinesstopics,withcompaniesexploringitspotentialapplicationsandbenefit
2、sacrossindustriesandfunctions,includingmanufacturing.Butdespitetherecentbuzz,manufacturersshouldrecognizethatsimplyapplyingtoolslikeChatGPTontheirownwillnotrevolutionizefactoryoperations.InsteadofreplacingtraditionalAl,GenAIofferscomplementaryusecasesintheareasofassistance,recommendations,andautonom
3、ythatpavethewaytothefactoryofthefuture.Itdoessothroughitscapacitytogeneratecontent,suchastextandimages,tailoredtospecifictasksorinquiries.(SeeuHowGenAIWorks.n)Howgenaiworks-TodiscusstheapplicationsofGenAI,itisessentialtofirstdefinehowitdiffersfromttclassica,machinelearning(ML).ClassicalMLalgorithmsd
4、iscernpatternswithinobserveddata,enablingthemtogeneralizetheseinsightstonew,previouslyunseendata.Forinstance,anMLmodelmightbetrainedusingspecifictextfragmentssuchasoperatorincidentreportsinwhichmachinebreakdowndescriptionsareclassifiedintospecificrootcausessuchas,endoftoolinglifeoroperatorerror.Base
5、donthistraining,themodelcanprocesspreviouslyunseentextfragmentsofincidentreportsandjudgewhatcausedtheincident.Thebasisforsuchmodelsmaybedeepneuralnetworks,supportvectormachines,orothermethods.GenAItakesthisapproachfurther.Beyondmerelyclassifyingexistingtext,itcangeneratenewtextbasedonspecifiedcriter
6、ia-suchasoperatorinstructionsthatoutlineaprocesstoresolveaparticularrootcauseofamachinebreakdown.AlthoughtheprogressionfromclassicalMLtoGenAImightseemincremental,itposesafundamentaltechnicalchallenge.InclassicalML,themodelmerelyneedssuffcienttrainingtoconfidentlycategorizeatextfragment.Incontrast,Ge
7、nAImustconstructatextfragmentfromindividualwordsandletters,ensuringthatitisgrammaticallycorrect,comprehensible,andaccuratelyrepresentstheprocess.ThenumberofpotentialoutputsfromGenAIisvirtuallylimitless.Consideringthatthereareroughly170,000Englishincurrentuse,amerefive-wordtexthasmorethan140septillio
8、npotentialcombinations.Ontheotherhand,onlyafractionofthemwouldbegrammaticallycorrectandunderstandable.Amongthose,anevensmallerfractionwouldaccuratelydescribeagivenprocesstofixtherootcauseofamachinebreakdown.Consequently,themarginforerrorinGenAImodelsisincrediblynarrow,necessitatingextremelyprecisemo
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