Spice AI 如何使用 Amazon S3 将数据湖投入人工智能运营.pdf

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1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.S T G 3 6 4How Spice AI operationalizes data lakes for AI using Amazon S3John MalloryHe/HimPrincipal Storage SpecialistAmazon Web ServicesLuke KimHe/HimFounder&CEOSp

2、ice AI 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.How data supports your AI applicationsOrchestration AgentNatural Language QueryWe just hired AmyPlease start onboardingTask Planning AgentBuilds a tailored onboarding planOnboarding Buddy AgentRecommends people to connectExcep

3、tion Handling AgentAdapt to changes immediately Structured data Unstructured dataReal-time data streaming Vector search via RAGDatabasesData lakesVector storesStreaming services 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Key data challenges to adopt AIData Fragmentation and S

4、ilosCost Effective ScalingPrivacy&Security ConcernsRetrieval Accuracy ProblemsObservabilityIntegration Complexity 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Today,S3 is the datafoundation of choice forenterprises,and they wantit to be the foundation ofchoice in the AI era 202

5、5,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.S3 Tables Effect:Allow,Action:s3tables:GetTableData“,“s3tables:PutTableData“Fully managed Apache Iceberg tables in S3Amazon S3 2025,Amazon Web Services,Inc.or its affili

6、ates.All rights reserved.Amazon S3 VectorsF I R S T C L O U D O B J E C T S T O R E W I T H N A T I V E S U P P O R T T O S T O R E A N D Q U E R Y V E C T O R SCost-effective and durable storage of large,long-term vectors while delivering sub-second query tim