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利用数据管理和人工智能加速涂料创新.pdf

上传人: 散** 编号:1277098 2026-07-11 21页 1.68MB

1、 2025 Albert Invent Corp.All rights Accelerating CoatingsInnovation with DataManagement and AIJon WeisDirector of Solutions ArchitectureAlbert Invent 2025 Albert Invent Corp.All rights reserved.01Pillars of Digital Transformation02Digitalization Case Studies03Transformation Case Studies04Value Scali

2、ng Case Studies05ConclusionAgenda 2025 Albert Invent Corp.All rights reserved.Global team of 140+chemists and engineersEmpowering scientistsin 50+countriesUsed by over 250organizations worldwide“J.P.MorganhasdeeprootsandhistoryintheChemicalsindustry,dating back to 1823.We believetechnologyisessentia

3、lforthematerialdevelopmentandhowbuildmaterialsthatpowerourNEWSFebruary 25,2025Backed by J.P.Morgan,Albertis transforming chemical R&DwithAI-driveninnovation.The growth-equity groups latest deal more than doubles thevalue of the AI-driven engine for research chemistsOakland,Calif.-based company uses

4、AI and machine learning to aid chemists in theresearch and discovery of new formulations and materials.Our mission is to acceleratethe innovation of new materials.2025 Albert Invent Corp.All rights reserved.SDS AuthoringRegulatory and Pricing DataELNPaper notebookFind commercial raw materialsLegacy

5、analytical databasesInventoryThe Root ProblemScattered Tools and Unstructured Data Slow Down R&D InnovationReportingLIMSData TransferData CollectionResults CaptureEquipmentExperimental Design 2025 Albert Invent Corp.All rights reserved.Data EcosystemSecure,Configurable,and Structured DataWork faster

6、 and smarter with an AIAI-powered Insights Modulepowered Insights ModuleTrue Digital Transformation Requires a Single Source of Truth for R&D DataCommercializeTraditional SDS AuthoringResearchTraditionally CIMInventory,ReportingRegulatory IntelligenceProjects,Notebook,WorksheetDesignTraditionally EL

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1. **核心问题**:R&D创新受分散工具和非结构化数据拖累,需构建统一数据源。 2. **三大支柱**: - **数字化**(Pillar 1):标准化数据、连接系统、自动化实验室,支持AI分析(如Henkel减少30%开发时间)。 - **转型**(Pillar 2):领导力对齐、数字素养、协作与变革管理(如Nouryon Net Promoter Score达73)。 - **价值扩展**(Pillar 3):整合市场反馈、强化供应链、合规及外部合作(如Applied Molecules将配方开发从3个月缩至2天)。 3. **数据驱动价值**:数据驱动公司盈利可能性提升19倍,客户留存率提高6倍,市场速度提升20%+。
**AI如何加速创新?** **数据驱动如何盈利?** **转型如何成功?**
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