数据战略：构建人工智能的可信数据基础 [LRN3301].pdf

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1、LRN3301 Data Strategy:Building a trusted data foundation for AISr.Director Data Strategy and ArchitectureMike BlackmoreVice President AI&Data Platform StrategyMassimo CastelliCopyright 2025,Oracle and/or its affiliates2Todays agenda Introductions What is a Data Strategy?How does AI influence the Dat

2、a Strategy Deep Dive:AI and People,Process,and Technology Bringing it all together Q&ALet us set up the discussion frameworkWhats the vision of AI-enhanced outcomes in your organization?What do you want to do with your data?Are your AI projects held back by a lack of data?Can you find the data you n

3、eed in time to use it?Do you trust your data enough e.g.to RAG with it?Do you get more business value from your data than the costs to manage it?Is your data secure and adhering to regulations?3Copyright 2025,Oracle and/or its affiliates Not just detecting but predicting fraudulent card activity and

4、 lowering false positives by 200%,protecting customers and reducing crime.Let us start with real-world outcomes Copyright 2025,Oracle and/or its affiliates4AI Improved early disease detection by 44%,leading to earlier interventions and reduced hospital readmission rates.Enables micro segmentation of

5、 product placement,increasing conversion by 33%.Predict network congestion,automate routing and improve performance by 20%reducing churn.Reduces unplanned downtime by 80%by using sensor data to anticipate equipment failure.Crowd density analysis at public events turning estimated guesses into precis

6、e numbers,improving public safety.Data StrategyA systematic Approach to transform a Vision into a RealityCopyright 2025,Oracle and/or its affiliates5Data StrategyApplicationsApplicationsDataDataOutcomesOutcomesRealityVision Built on three domainsPeople,Processes,Technology Copyright 2025,Oracle and/