共赢行业数智化实践白皮书：拥抱数智化机遇，共赢数智化未来

共赢行业数智化实践白皮书 拥抱数智化机遇，共赢数智化未来 商标声明 ，，是华为技术有限公司的商标或者注册商标，在本手册中以及本手册描述 的产品中，出现的其他商标、产品名称、服务名称以及公司名称，由其各自的所有人拥有。 免责声明 本文档可能含有预测信息，包括但不限于有关未来的财务、运营、产品系列、新技术等信息。由于实践中存在很多不确定因素，可能导致实际结果与预测信息有很大的差别。因此，本文档信息仅供参考，不构成任何要约或承诺，华为不对您在本文档基础上做出的任何行为承担责任。华为可能不经通知修改上述信息，恕不另行通知。 版权所有©华为技术有限公司2024。保留一切权利。 非经华为技术有限公司书面同意，任何单位和个人不得擅自摘抄、复制本手册内容的部分或全部，并不得以任何形式传播。 目录 1 共赢行业 数智化 3 行业数智化 转型的挑战 2192 1.1 数智世界已加速到来 3 3.1 传统数智基础设施难以匹配 193 1.2 数智化技术发展趋势 4 创新需求 1.3 数智化悄然改变人类社会 6 3.2 行业数智化技术应用场景选择难 194 1.4 数智化赋能千行万业 7 3.3 行业数智化建设需要开放统一的架构指引 194 3.4 行业数智化安全风险不容忽视 195 3.5 行业数智化可持续发展依赖人才 196 2 行业数智化转型 10 100案例 和产业生态建设 4 2.1 城市 11 2.2 公共事业 30 2.3 医疗 46 2.4 教育 58 2.5 金融 76 2.6 交通 95 2.7 电力 114 2.8 油气 130 2.9 矿山 140 2.10 冶炼 149 2.11 制造 153 2.12 零售 166 2.13 建筑 174 2.14 ISP 180 行业数智化转型实施建议 198 4.1 4.2 5展望 4.3 行业数智化转型建设模式行业智能化参考架构 业务智能化成熟度模型 199 200 212 216 TheimpressivegrowthofAIisopeningupnewprospectsforthedevelopmentofintelligentsystems,particularlyautonomoussystemsdesignedtoreplacehumanagentsincomplexorganizations,asenvisagedbyindustrialIoT.Itshouldbenoted,however,thatAIiscurrentlyfocusedonconversationalsystemsthatinteractwithahumanintheloop.TheAIindustrialrevolutionhasonlyjustbegun!Certaintechnicaladvances,suchasintelligentsensors,prediction/analysisenginesandintelligentO&Massistance,haveimprovedthelevelofindustrialautonomy.Theautonomouscarsectorisleadingthewaywithmixedsuccess,whileprogressinothersectorssuchasavionics,smartfactoriesandtelecommunicationnetworksismoregradual. Theadventofthedigitalandintelligenteraraisesenormoustechnicalandscientificchallenges,notleastthatofmarryingAIwithtraditionaldigitalsystemsengineering,asAIsystemsneedtobeintegratedintoindustrialsystemsforwhichwehavedeterminedreliabilityguaranteerequirements.Awell-knownlimitationofAIsystemsisthatitisdifficulttoguaranteetheirsafetyandlimittherisksassociatedwiththeiruse.AIsafetyisaglobalconcern, asevidencedbytheorganizationofinternationalsummitsandthemobilizationofinternationalinstitutionssuchastheUN. ItisalreadyclearthattheindustrialrevolutionexpectedfromAIwillnothappenwithoutasubstantialefforttobridgethegapbetweenwell-establishedindustrialsystemsengineeringpractices,whichfollowstandards-baseddevelopmentworkflowsandaimfortrustworthinessguarantees,andAIsystem.Thisrequiresacollectiveefforttodevelopacommondomain-specificdatainfrastructureandtechnology,aswellassorelylackingmethodsforbuildingaccurateAImodelsthatarestatisticallyconsistentwiththeirtrainingdatasets.Bettercoordinationofthiseffortneedstobeorganizedaroundreferencearchitecturesandstandardsforeachdomain,whichenabledifferentsolutionstobecomparedandassessed.Thisrequiresinternationalconsultationandcoordinationbetweencountrieswithastrongandextensiveindustrialbase,withleadingindustriesplayingakeyrole. Thiswhitepapershowsthatwiththeinnovationanddevelopmentofcutting-edgetechnologiessuchasAI andthecorrespondingapplicationsinthousandsofindustries,theworldissteadilymovingtowardsindustrydigitalintelligence. Iamconvincedthatallcountriesmustmobilizecollectivelyandinsolidarity toactivelycontributetoresearchandinnovationincutting-edgetechnologies,tobridgethegapandachievedigitalintelligenceinallindustrialsectorsand,ultimately,tosuccessfullymeetglobalchallengesandcontributetothewell-beingofhumanity. JosephSifakis,TuringAward2007 DigitalandintelligenttechnologiesarekeytoseizebusinessopportunitiesinalmostallindustrialsectorsandtocontributetotheaccomplishmentofgloballysharedgoalssuchastheSustainableDevelopmentGoalstargetedbytheUnitedNations. Theadvancementoftechnologicalinnovationinthedigitalandintelligentspaceisimmenseandiscontinuingtoaccelerate.Datasharingplatforms,thetransformationtoanedge-cloudcontinuumandthepowerofartificialintelligenceareprominentexamples. However,toleveragethepotentialofdigitalandintelligentinnovationtothemaximumextentpossible,threepointsarepivotalforsuccess.First,technologiessuchasIoT,bigdata,artificialintelligence,andcloudcomputingdonotformisolatedsourcesofprogressbutmustbedevelopedaccordingtoanintegratedarchitecturestack.Areferenceintelligentarchitecturewouldfunctionasablueprintforseveralactivitieswhichrequireglobalcollaborationsuchasstandardizationandthesupportofinternationalsupply chains.Second,digitalandintelligenttransformationisofstrategicimportanceand,thus,requiresastrategicplan, e.g.informofroadmapsandmaturitymodels.Bothwouldprovideguidanceandmeansofcoordinationtobusinessesandinternationalactivities,e.g.toreachthesustainabledevelopmentgoals.Third,asdataisthestrategicresourceofthedigitalera,thedatavaluechain,i.e.theentiretyofactivitiestocreate,collect,pre-process,store,makeaccessibleandsharedata,shouldfunctionastheconceptualfoundationtodeployvariousdigitaltechnologies. Thewhitepaperathandmakesanimportantcontributiontotheadoptionofinnovativedigitalandintelligenttechnologiesasitprovidesthereaderwithcomprehensiveoverviewsofthesolutionspaceinthedigitalandintelligentrealm,introducesconcreteapplicationcasesfromwhichorganizationsofvarioussectorscandrawfrom,anditsketchesthewayforwardtoidentityare