簡化數據處理方法.pdf

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1、From Obstacles to OpportunitiesMastering Data Governance for AI SuccessEmma McGrattanChief Technology OfficerThe GenAI MirageImpressive demos mask operational complexityWhat works in a sandbox often fails in the enterprise.Model-centric thinking ignoresthe data ecosystemGovernance,lineage,quality,an

2、d context are afterthoughts.Everyone wants theoutcome,but few investin the foundationModel outputs are only as good as the data feeding them.“Hallucinations”arent just model issuestheyre metadata failuresMissing context leadsto misleading results.Value is promised at the UI layer,but trust is built

3、at the data layerInsight without provenance is just guesswork.The DataGovernance ParadoxSuccessful AI demands governance thats flexible and easy to useGovernance frameworks canbe cumbersome and are often ignored or bypassedData access is restricted in the name of control,but shadow systems emerge in

4、steadGovernance is treated as a one-time project,not a living,evolving processGovernancemust be built-in,not bolted onBuilt into dataproducts,notwrappedaround themPolicyenforcementaligned withbusiness contextAutomated,transparent,andscalable bydefaultEmpowers usersto trust,access,and act withconfide

5、nceGovernanceby DesignTreat datalike a product,Governance like UXGovernancemust be built-in,not bolted onBuilt into dataproducts,notwrappedaround themPolicyenforcementaligned withbusiness contextAutomated,transparent,andscalable bydefaultEmpowers usersto trust,access,and act withconfidenceWhat Good

6、Governance EnablesAI readinessTrustworthy data at scaleFaster time to insightData and analytics self-service with safeguardsData productization and reuseOperational efficiencyData ContractsData ObservabilityData Quality DashboardFederated Data CatalogData Lineage TrackingSemantic Layer and Business

7、GlossaryData MarketplacePractical Toolsfor AI-Ready DataTurning GovernanceInto a Competitive AdvantageFaster AI innovation with trusted dataStronger customer trust through data and AI transparencyProactive compliance reduces risk and costReusable,certified data products fuel scaleStreamlined data ac

8、cess without sacrificing controlBetter decisions,backed by quality and contextFrom Compliance Burden to Innovation EnablerGovernance can be automated,auditable,and flexibleBusiness-aligned governance creates momentum and a sense of ownershipGovernance builds the foundation for successful and scalabl

9、e AIYour Governance Checklistfor AI ReadyDataData contracts for accountabilityFederated policy enforcementTransparent data quality and lineageObservability of usage and driftContext-rich metadata catalogYourTakeawaysData governance isnt just about controlits strategic enablement1Govern by design,not by accident2Trust,transparency,and usability are key to AI success3In the age of AI,governance isnt a burdenits essential for