统一名称空间：制造业人工智能的可扩展基础

ExecutiveSummary The manufacturing sector stands at a critical inflection point. The promise of Artificial Intelligence(AI) to catalyze the fourth industrial revolution,unlocking unprecedented efficiency, resilience, andinnovationis immense. Yet, for a vast majority of organizations, this promise remains unfulfilled. MostAI initiatives are stuck in “pilot purgatory,” failing to scale beyond isolated experiments to deliverenterprise-wide business value. The root cause of this stagnation is not a deficiency in AI technologyor a lack of data, but a foundational crisis in data architecture. The modern factory, while generatingterabytes of data daily, is crippled by fragmented data silos, a deep cultural and technical chasmbetween Information Technology (IT) and Operational Technology (OT), and an unmanageable web ofbrittle, point-to-point integrations. This fractured landscape creates an environment where AI simplycannot thrive or scale. This whitepaper presents a definitive, three-part solution to this AI paradox, outlining a synergisticapproach that combines a modern architecture, a powerful platform, and an expert partner to build atruly intelligent enterprise. A Modern Architecture: The Unified Namespace(UNS).The foundational layer is the Unified Namespace,an architectural concept that establishes a single sourceof truth or all industrial data. Built upon an event-driven message broker, the UNS decouples disparatesystems, from the shop floor to enterprise IT. It providesa standardized, contextualized stream of real-timedata, organized according to industry standards likeISA-95, making information universally accessible andunderstandable. This architecture is the antidote to datasilos and integration complexity. The Mind of an UNS Architecture: The Snowflake®AIData Cloud.The enterprise core of this solution is theSnowflake AI Data Cloud. Snowflake is purpose-builtto ingest the unified, real-time data streams from theUNS and converge them with all other enterprise datasources (e.g., ERP, SCM, CRM). This breaks down silos ata macro level, creating a single, governed repository forthe entire business. More than just a data warehouse,Snowflake provides a fully integrated environment tobuild, deploy, operationalize, and govern AI and MachineLearning (ML) models at scale, directly on top of this live,trusted data foundation. A Realization and Integration Partner: Capgemini.Technology and architecture alone are insufficient. Thejourney to an intelligent enterprise is a profound businesstransformation that requires deep domain knowledge andexpert guidance. Capgemini, with its Intelligent Industryvision and proven transformation methodologies, servesas the integrator. Capgemini provides the critical end-to-end services to architect the solution, integrate thetechnology stack, andmost importantlymanage thesignificant organizational and cultural changes necessaryto bridge the IT/OT divide and ensure lasting success. This synergistic partnership between a revolutionaryarchitecture (UNS), a dominant AI data platform(Snowflake), and a world-class transformation partner(Capgemini) offers a de-risked, accelerated, and value-driven path for manufacturers. It is the blueprint formoving beyond experimentation to build a resilient,adaptive, and truly intelligent enterprise, powered bydata and AI. Table ofcontents 05The AI Paradox inManufacturing: Drowning inData, Starving for Insight Theunfulfilledpromise ofIndustry 4.0 and AITherootcause: Afractureddatalandscape0607 08The Architectural Blueprint:Introducing the UnifiedNamespace (UNS) Defining the UNS: Asinglesource oftruth for themodernenterpriseThebuildingblocks: Datamodeling,contextualization, and ISA-95Therole of theevent-drivenmessagebrokerThemissingpuzzlepiece - The Mind09091011 Fromshopfloor totopfloor:Ingesting andgoverningunifieddataUnleashing AI: Developing anddeployingmodelsdirectly ongoverneddataBeyond thefactory: Securecollaborationacross theentirevaluechain131314 12Powering the UNS: TheSnowflake AI Data Cloud asthe Enterprise Data Core 15Powering AI and Analytics:The Snowflake AI Data Cloud 18From Blueprint to Reality:Capgemini as TransformationPartner 19The Joint Value Proposition:Building Your AI-ReadyFuture, Today 01 The AI Paradox inManufacturing:Drowning in Data,Starving for Insight The ambition to create smarter, more efficient, and more resilientmanufacturing operations through digital transformation isuniversal. Industry 4.0 and Artificial Intelligence are no longerfuturistic concepts but immediate strategic imperatives. However,a persistent and costly gap exists between this ambition and thereality of execution. 1.1The unfulfilled promise of Industry 4.0 and AI The promise of AI in manufacturing is immense: predictive maintenance, optimized supply chains,automated quality control, and hyper-personalized products. Recognizing this, organizations are investingheavily in AI and generative AI capabilities. However, progress has been slowe