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使用 Databricks 赋能商业用户 — 将 AI BI Genie 与 Microsoft Teams 集成.pdf

上传人: Fl****zo 编号:718800 2025-06-22 31页 11.55MB

1、Empowering Business Users With DatabricksIntegrating AI/BI Genie With TeamsNathan SundararajanManager-Data Engineering&Integration,Rooms To GoRyan BatesSolution Architect,Databricks234567891011121314for everyonefor everyoneOur mission is to democratize data+AIHows the business doing on its FY goals?

2、What if your users could get answers to their follow-up questions,without waiting for an analyst?Conversational analyticsAsk questions in natural language and get answers immediately AI tailored to your businessGenie incorporates unique context for your data and business from the broader platformGov

3、erned and secureFully governed data,with results secured by your Unity Catalog policiesAccessible anywhereEmbed in custom applications via Conversation APIsAI/BI GenieTalk with your dataYour Genie is tailored for your data and business Leverage context from platform metadataEnrich understanding with

4、 space-level guidanceIterate based on user feedbackGenie learns from existing metadata throughout the Databricks platform(table comments,PK/FKs,Notebooks,Jobs,etc)Space authors can do additional fine tuning for each Genie Space via the Knowledge Store(example SQL,text instructions,etc.)End user feed

5、back is surfaced in real time with actionable recommendations for how to refine context and improve accuracyGenie Fundamentals18Data teams set up topic specific Genie spacesBusiness users can get answers to net-new data questionsGenie learns over time leveraging Data Intelligence PlatformBusiness Us

6、er RequestsAnswers in Real TimeUsing a familiar interface(Teams)Understand questions asked,and provide answersContext Understanding from Previously Asked QuestionsPower BI Reports cannot generate graph on the fly based on answers.Power BI is not designed for interactive user ques

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本文介绍了Databricks的AI/BI Genie与Microsoft Teams集成的使用案例,主要围绕如何赋能商业用户实时获取数据分析答案。以下是关键点: 1. **集成目标**:通过AI/BI Genie实现数据与AI的民主化,让商业用户无需等待分析师即可获得后续问题的答案。 2. **核心功能**: - **自然语言查询**:用户可使用日常语言提问,并获得即时答案。 - **定制化AI**:Genie根据平台元数据和业务上下文提供定制化服务。 - **数据治理**:通过Unity Catalog政策确保数据结果的安全和治理。 3. **用户体验**: - **实时反馈**:用户可获得实时答案,并根据反馈进行迭代,提高准确性。 - **熟悉界面**:通过Teams聊天界面进行交互,增加用户接受度。 4. **技术实现**: - **Genie空间设置**:数据团队针对特定主题设置Genie空间。 - **实时更新**:与Power BI报告相比,聊天机器人能提供基于最新执行查询的实时结果。 5. **用户反馈**:用户更偏好交互式聊天机器人,它能即时提供库存等业务数据。 6. **技术细节与资源**:提供了实现该集成的技术细节和参考资源链接。 通过这些核心数据和信息,文章强调了AI/BI Genie在提升业务用户数据分析效率方面的价值。
"如何实时获取数据答案?" - 针对企业用户,探索如何通过Databricks的AI/BI Genie在 Teams 中实现即时数据分析。 "Genie如何为业务定制AI?" - 揭秘Genie如何利用平台元数据为您的数据和业务提供独特的语境理解。 "如何在Teams中部署Genie?" - 了解如何将Genie集成到Azure网页应用中,并在Microsoft Teams中部署为聊天机器人。
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