为人工智能代理构建高质量数据产品.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.A N T 3 3 2Building high-quality data products for AI AgentsJason BerkowitzPrincipal Tech Product Mkt ManagerAmazon Web ServicesLakshmi NairSenior Specialist Solutio

2、ns ArchitectAmazon Web Services 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Building Trust in AI starts with your data foundation&peopleAccuracyOpen and secure accessReliability and auditabilityPeople and processof CDOs view data foundation not being ready for AI52%2025,Amazon

3、 Web Services,Inc.or its affiliates.All rights reserved.Cleaning|Enriching|Generating|Business context|Transformation|AggregationData streaming and processingData sourcesStructuredUnstructured 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Data sourcesData prep and enrichmentMeta

4、dataFindShareUnderstandAccessActMonitorAnalytics and AIGen AI/RAGClassificationsForecastingSQL/Spark analyticsRecommendationsBusiness decision intelligenceGraph analyticsAnomaly detectionStructuredUnstructured 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.What is a data product

5、2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.When does data asset become a data product?Recurring need and capabilityUniquenessand differentiationSponsorshipand resource commitmentDecommissioning 2025,Amazon Web

6、 Services,Inc.or its affiliates.All rights reserved.Anatomy of a data productLifecycle managementVersioning and adapt tofeedback mechanismAccessible and usableEasy integration and interoperableClear ownershipDefined roles and business alignmentTrust and observabilityData quality and lineageDelivery