Retail Genie:无代码 AI 应用助力 BI 用户实现自给自足.pdf

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Retail Genie:无代码 AI 应用助力 BI 用户实现自给自足.pdf

1、Retail GenieNo-Code AI Apps for Empowering BI Users to be Self-SufficientSiddhesh Pore,Sr.SAHarish Rajagopalan,SADatabricks AI/BIIntelligent analytics for everyone2Governed and secured with Unity CatalogPowered by Databricks SQLDashboardsFast and secure visual insights for your entire organizationGe

2、nieTalk with your data using natural languageAgendaTraditional BI ChallengesMeet AI/BI Genie:Our Answer to Modern BIAI/BI Genie:Architecture&CapabilitiesRapid Adoption:Quick Wins Retail&CPG:Use cases and Architecture patternsDemoEnabling Builders:The Genie Developer LifecycleGoing beyond AI/BISummar

3、y and Q&AAI/BI For Retail and Consumer Goods(RCG)Challenge with traditional BIData quality and integration issues due to Inconsistent,incomplete,or inaccurate data from multiple sources.Slow,Outdated ReportingComplexity and Usability Barriers due to technical nature of toolSkill gap and change manag

4、ement5BI ToolBI UserAnalystSQLChallenge with traditional BITraditional BI with LLMs depends on pre-built semantic models.Users questions are limited to what has been modeled in advance.LLMs can only generate SQL for data that fits the existing semantic framework.Updating or expanding analytics requi

5、res manual updates to the semantic model,slowing down insights and flexibility.6Semantic ModelLLMQuestionQuestionSQLPre-modeled semanticsUse Case For BI UsersCustomer Behavior Analysis:Uncover actionable insights into customer preferences and buying patterns to drive personalized marketing.Inventory

6、 and Supply Chain Optimization:Streamline inventory management and supply chain processes to minimize costs and prevent stockouts.Sales Performance Analysis:Evaluate sales trends and team effectiveness to boost revenue and identify growth opportunities.Omnichannel Analytics:Integrate data across all

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