凭借坚实的数据基础实现人工智能的成功.pdf

1、Achieving AI Success with a Solid Data FoundationSantosh KudvaGE VERNOVA,EXECUTIVE DATA&ANALYTICSKevin TollisonEYAI CONSULTING PARTNERTopicsGE Vernova Data,The Foundation for AIFinance Data ApplianceAI SystemsGE Vernova-a dynamic enterprise born from the GE spinAs part of GE,there was a wide ecosyst

2、em of data supporting the business modelAs an independent company,GE Vernova is focused on simplification to optimize value from data1.Trusted data,a future for AI2.Integrated insights 3.Optimal costData at GE VernovaGE Vernova and EY partner for the future4AI Ready Data components and consideration

3、sData ArchitectureData GovernanceMaster Data ManagementData&AI StrategyData QualityData Risk&Compliance Knowledge ManagementBusiness OutcomesDataValue ManagementOrg ReadinessTalentTechnologyHRSOURCINGFINANCESALESSERVICESCONTRACTSTREASURYR&D/ENG.QUALITY/EHSMANUF.DataCapabilitiesOperating ModelThe int

4、elligenceenabled by DatabricksFinance TransformationEnterprise ValueOperational insightsCompliancePersona specific insightsERPsPeople MgmtConsolidationSystemsTravelPayrollAcct Rec ToolsOpen InterfaceBSMAR&CollectionsPlatformsTreasury PlatformsUnstructuredDataUnity CatalogDelta LakeDelta ShareDatabri

5、cks SQL WarehouseDatabricks WorkflowsChange Data CaptureENABLED BY DATABRICKS CAPABILITIES Spanning structured and unstructuredOUTCOMES DELIVERY21Deliver available Outcomes(Dashboards)CHATBOT CHATBOT T E XT/S P EE C HLEASTEXPENSIVECOSTEFFECTIVESIGNIFICANTLY EXPENSIVE3Extract outcomes from published

6、consumption dataParse/GenAI on the unstructured dataCost optimization with Data ArchitectureUNUN-STRUCTUREDSTRUCTUREDSTRUCTUREDSTRUCTUREDDocumentsImagesVideoAudioSocial MediaTransactionsETL/AI/MLETL/AI/NLP/LLM/Computer VisionSensor/IOT/Time SeriesRAW DATATRANSFORMCONSUMPTIONDATASources of Truth(Stru