2026年賦能未來工業(yè)：打破數(shù)據(jù)孤島以統(tǒng)一AI數(shù)據(jù)平臺驅(qū)動智能制造新范式

賦能未來工業(yè)：打破數(shù)據(jù)孤島，以統(tǒng)一AI數(shù)據(jù)平臺驅(qū)動智能制造新范式May2026?2025Snowflake

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Reserved從“中國制造”邁向“全球經(jīng)營”：如何利用Snowflake

實現(xiàn)全球業(yè)務(wù)規(guī)模化客戶背景●

團隊挑戰(zhàn)：團隊高度精益，難以負擔復雜的流水線與繁重的

IT

架構(gòu)●

運營需求：迫切需要極簡透明的管理模式，

以應對全球多區(qū)域的合規(guī)要求●

協(xié)作挑戰(zhàn)：打破地域與生態(tài)壁壘，實現(xiàn)與全球合作伙伴的無縫協(xié)作合規(guī)紅線跨國數(shù)據(jù)流動面臨嚴苛的當

地法律風險。數(shù)據(jù)孤島生產(chǎn)數(shù)據(jù)與經(jīng)營被牽絆，散

落在不同系統(tǒng)，又重又碎。市場信號北美的銷售和營銷反饋無法

實時指導深圳的研發(fā)，快速

響應市場反饋。 ?2025Snowflake

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Continuousimprovementthroughadvanced

analyticsSmartManufacturing2

Data-drivenoptimizationofproductionprocesses1

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6SOLVECHALLENGING

MANUFACTURING

USECASESWITHSNOWFLAKE數(shù)據(jù)孤島：傳統(tǒng)制造業(yè)轉(zhuǎn)型升級的隱形枷鎖SustainabilityADASChargingNetworkElectrical

Utilities ?2025Snowflake

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SystemsEngineering

SystemsAfter

Sales/

ServiceConnected

ProductsCustomer

SupportDirectto

ConsumerSupplyChainMobileAppMarketingCustomerProductFinanceRetailerMFGR&D

挖掘IT/OT

數(shù)據(jù)價值：消除孤島，驅(qū)動智造變革Predictionofbehaviourofisolatedsensors“ScadaAnalytics”,

ERPAnalytics

…SupplyChain&financialImplicationsofchangesinmanufacturingprocessEarlyWarningforquality

deviationsFinancialimplicationsofproductionprocesschangesLAYERED/

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AnalyticsFinancial

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AI

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ChainSalesandDistributionQuantitativeAnalyticsCompliance

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ProgramsDashboardDeploymentSupplierAnalyticsOT

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ClaimsAnalyzeGovernPlantOperationsUnstructured

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assets

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PredictionIngest AI落地是否意味著極高的復雜度？我們是否必須擁有一支龐大的編程專家團隊，才能讓AI運轉(zhuǎn)起來？

大模型產(chǎn)生的‘幻覺9怎么辦？在容錯率為零的車間現(xiàn)場，我們?nèi)绾未_信AI給出的指令是安全且準確的？ AI真的懂工業(yè)嗎？如果數(shù)據(jù)缺乏語義上下文，AI看到的只是冰冷的數(shù)字，而非真實的生產(chǎn)業(yè)務(wù)。常見顧慮 ?2025Snowflake

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SNOWFLAKEHasthe

latestknowledgeofyourspecificdatacatalog:databases,schemas,tables,semanticmodelsand

moreISCONTEXTAWAREKnowswhereyou

areinthe

UI,whatdatayou'reworkingwith,and

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jobs,frombuildingan

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BYDESIGNAdherestoSnowflakeRBAC,ensuring

itonlyseesand

actsonthedataandobjectsyouhave

access

toTheGameChanger#1:CortexCodeSnowflake-nativeAIcodingagentGOVERNANCE11INTELLIGENCERELEVANCEEFFICIENCY ?2025Snowflake

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TheGameChanger#2:SnowflakeIntelligenceTransformmaintenanceoperationswithAI-powered

insightsfromyourenterprisedata●

EmpoweruserswithaunifiedAI-driven

interfacetoseamlesslyaccessinsightsfromallenterprisemaintenancedatasources.●

Eliminatemanualorchestrationtoretrieverelevantinformationfromstructuredorunstructured

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multipleAPIcallscombinedinto

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PlantOperationsDashboardPDF

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Dataorchestration國

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Iask?Semantic

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引入Snowflake

Intelligence：重塑您5Why

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ReservedTheGameChanger#3:AutomaticSemanticModelGenerationAutomaticallygeneratessemanticmodelsusingcontextfromdashboards,queriesandexternalsemanticlayersWHY

USE

IT●

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monthsofmanualmodellingworktominutes●

Speedsupsetupofgovernedanalytics●

HelpsstandardizeandscaleenterpriseGotoSnowsight→CortexAnalyst

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contextReviewandvalidatethegenerated

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ITCreateSemanticinsights●●●15開啟這場征程，需要領(lǐng)導層堅定不移的支持任何實質(zhì)性的進步都需要持續(xù)的投入與耕耘秉持“勇于實驗、不斷學習、快速推廣”的實戰(zhàn)心態(tài)管理者必須躬身入局，成為變革的倡導者，引領(lǐng)整個組織共同前行這是一場漸進式的變革征程 ?2025Snowflake

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