赞助方：Acceldata Agentic Data Management：Databricks 上企业 AI 的可信数据.pdf

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1、Agentic Data Management:Trusted Data for Enterprise AI on DatabricksJoe MurphyJune 2025AgendaWhy Data Pipelines Arent EnoughThe reliability gap in modern AI deliveryWhat Is Agentic Data Management?Faster ML models,fewer incidents,smarter cost optimizationDatabricks Integration+Real-World Impact Enha

2、ncing DLTs,Unity Catalog,MLflow,SQL Warehouses Live Demo:Agentic Intelligence in ActionEnhancing trust,insight,and action for Databricks pipelines#1Why Data Pipelines Arent EnoughData Management EvolutionQA Cycle:16 DaysGovernance Policy:6 WeeksRoot Cause:7 Weeks5AI DemandsData Delivery RealityModel

3、 Build:DailyFeature Tuning:WeeklyPredictions:EverySecondvs#2What Is Agentic Data Management?Supports Native and Third Party AgentsGreat Pipelines Need Greater VisibilityAgentic Data Management(ADM)Agentic Data Management(ADM)Converging the Business&Technology PersonasDataPipeline&InfraUsers&CostsCom

4、prehensiveInterconnectedMetadataOperational DataData Scale and Change FrequencyComprehensive Operational Data+MetadataData Observability is the Foundation for Agentic DMThe inaccuracy in financial queries on Perplexity Deep Research is being addressed.Examples of current failures include using old b

5、itcoin prices or old market caps of the companies for a task like make me an investment case for Palantir or Bitcoin.Were fixing this.For finance specifically,data accuracy is a must and high stakes.Were also working on bringing a more trustworthy data source to this.Appreciate the folks who flagged

6、 these bugs.-Arvind Srinivas,Founder&CEO,PerplexityData Quality Matters in Gen AI Era#3Databricks Integration+Real-World ImpactBlind Spots Across the LakehouseFor Delta Lake and Unity Catalog,complex pipelines create issues across jobs,tables,and models.Quality&Drift Go Undetecte