制造业中的人工智能代理：构建智能数据工作流 [重复].pdf

1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.I N D 3 0 5Rob SableSenior Solutions ArchitectAmazon Web ServicesShawn JusticePrincipal Solutions

2、ArchitectAmazon Web ServicesAI Agents in Manufacturing:Building Intelligent Data Workflows 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Why Now?Manufacturers Face ChallengesReimagine with AgentsData Access PatternsPulling it All TogetherQ&AHow to Start BuildingAgenda 2025,Amazo

3、n Web Services,Inc.or its affiliates.All rights reserved.Why Now?2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Data AccessConnecting to data in both modern and legacy systems using multiple formats and communication protocols.Real-Time DataLeveraging relevant business data on-de

4、mand to accelerate decision making capabilities.Data ContextCataloging and governing large amounts of disparate data from across the enterprise.Operational DataTracking streams of data from global manufacturing assets and device fleets to drive efficiencies.Manufacturers Face Challenges 2025,Amazon

5、Web Services,Inc.or its affiliates.All rights reserved.1)Identify&Catalog Data2)Extract&Store Data3)Cleanse&Normalize Data4)Map Schema&Relationships5)Develop Data Transformation Scripts6)System&Integration Testing7)User Acceptance&Change Control8)Deployment&Rollout9)Dashboard&Report Creation Traditi

6、onal Data Processing(ETL)2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.1)Integrate to data sources with tools2)Access data with specialized agents3)Instruct agents to generate the required insightsAgentic Data Exploration 2025,Amazon Web Services,Inc.or its affiliates.All rights