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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.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Craig WileySr.Director,Product Management,DatabricksNicolas PelaezStaff Technical Marketing Manage
2、r,DatabricksVikram PalicherlaSVP Engineering Conde NastYour AI Agent Is Expensive and Wrong(Lets Fix Both)A I M 2 6 4-SMarcos CasalVP Data Engineering Conde NastYour Agent is Expensive and Wrong(Lets fix both)Craig Wiley,Sr.Director,Product Management,DatabricksNicolas Pelaez,Staff Technical Marketi
3、ng Manager,DatabricksVikram Palicherla,SVP Engineering Conde NastMarcos Casal,VP Data Engineering Conde NastAgendaAgenda1.Introduction:why a different approach to AI Agents is needed 2.Demo3.Conde Nast4.Q&AIntroductionAnalyst:Afraz Jaffri et.al,|LINK|May 2025Gartner Magic Quadrant:Data Science and M
4、achine LearningDATAAIOur mission is to democratizeAI/BIAgentic business intelligenceData Intelligence PlatformLakeflowIngest,ETL,streamingLakehouseData warehousingAppsSecure data&AI appsLakebaseServerless PostgresAgent BricksAgentic AI&Machine LearningAI/BIAgentic business intelligenceData Intellige
5、nce PlatformLakeflowIngest,ETL,streamingLakehouseData warehousingAppsSecure data&AI appsLakebaseServerless PostgresAI/BIAgentic business intelligenceAgent BricksAgentic AI&Machine LearningAgent BricksAgentic AI&Machine LearningSimplifying creation of high quality AI apps and agents on your data2024
6、Databricks Inc.All rights reservedAccurate and secure AI to implement in areas of financial and reputational riskAI OpportunityGovernance2024 Databricks Inc.All rights reservedEvaluationAI OpportunityAI/BIAgentic business intelligenceData Intelligence PlatformLakeflowIngest,ETL,streamingLakehouseDat