利用实时数据和人工智能实现零售创新.pdf

1、Harnessing Real-Time Data and AI for Retail InnovationDelivering Always-Up-to-Date Insights and Experiences with DatabricksTristen Wentling,Lead Solutions Architect,DatabricksLorenz Verzosa,Sr.Specialist Solutions Architect,DatabricksWho we areTristen WentlingLead SADatabricksClearwater,FLLorenz Ver

2、zosaSr.SSADatabricksNew York,NYLive in the future and build what seems interesting.-Paul GrahamIntroductionAn Industry ImperativeIntroductionOver half of shoppers said that generative AI-powered personalized recommendations will be valuable when shopping online.An Industry ImperativeBy combining dat

3、a and knowledge in algorithms and toolsyou can develop cognitive solutions that generate real value.How get to the next level We need tools that enable social listening and measure sentimentWe need tools that generate customer personalized contentWe need tools that enable developers to work efficien

4、tlyWe want it all in one placeWe need tools that work with alongside traditional applicationsThe Data Intelligence Platform for RetailHas built-in Generative AI tools likeai_query,ai_sentiment,&ai_parseHas DLT to make building reliable pipelines simpleHas Jobs to make orchestration easyThe foundatio

5、n for your success across the entire value chainWere getting all the tools we want to enable more applications better,faster,and cheaper.Solution OverviewAn Archetype for Modern SolutionsArchitecture OverviewShare OpenlyProcess&OrchestrateKey TechnologiesWhats in our toolbag here?Deploy&MonitorData

6、FlowDLT Powered Streaming Ingestion with DLTStreamline Data EngineeringQuality ChecksGovernanceData Discovery13your transformation logicDependencyManagementDaily PartitionComputationCheckpointing&RetriesBackfill HandlingVersion ControlDeployment InfrastructureData LakeOrchestration Data WarehouseStr