《使用 Amazon Bedrock 为 SaaS 构建上下文丰富的数据代理.pdf》由会员分享,可在线阅读,更多相关《使用 Amazon Bedrock 为 SaaS 构建上下文丰富的数据代理.pdf(38页珍藏版)》请在三个皮匠报告上搜索。
1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Amazon Confidential and Trademark.1 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Amazon Confidential and Trademark.2I S V 3 1 2Building Context-Rich Data Agents for SaaS with Amazon BedrockMike GillespiePrincip
2、al Solutions ArchitectMunish DabraPrincipal Solutions Architect 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Amazon Confidential and Trademark.3AgendaWhy Data Agents Multi-tenancy ConsiderationsReference ArchitectureDemoOpen DiscussionTakeaways 2025,Amazon Web Services,Inc.or i
3、ts affiliates.All rights reserved.Amazon Confidential and Trademark.4Please ask us questions 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Amazon Confidential and Trademark.5Why Context-Aware Data Agents?The Data Is There.The Answers Are Not.2025,Amazon Web Services,Inc.or its a
4、ffiliates.All rights reserved.Amazon Confidential and Trademark.6Why Context-Aware Data Agents?Data Insights Are Hard To GetBusiness users need insights but cant write SQLData teams overwhelmedBI dashboards takes days or weeks to createThe Data Is There.The Answers Are Not.2025,Amazon Web Services,I
5、nc.or its affiliates.All rights reserved.Amazon Confidential and Trademark.7Why Context-Aware Data Agents?Data Insights Are Hard To GetBusiness users need insights but cant write SQLData teams overwhelmedBI dashboards takes days or weeks to createAI Alone Isnt Enough LLMs generates SQL that looks ri
6、ght but is often wrongModels dont understand schema,rules and joinsWrong SQL-Wrong insights+Compliance RisksThe Data Is There.The Answers Are Not.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Amazon Confidential and Trademark.8Why Context-Aware Data Agents?Data Insights Are Hard