在整个公司拥有单一的数据真实来源有什么价值？.pdf

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1、What Is the Value of Having One Source of Data Truth Across the Company?Kobi NissanChief Product Officer and co-founder,MineJanine McKelveyGeneral Counsel Data and BT Group Data Protection&Ethics Officer,BT GroupWELCOME AND INTRODUCTIONSRobert BatemanFreelance Privacy ProfessionalI.Session OutlineII

2、.Welcome and Introductions(3 Mins Max)III.The Need for a Data Map(25 Mins Max)i.A Single Source of Data Truthii.Guiding Principles:Granularity and Pragmatismiii.Actual Use Cases and IntegrationsIV.AI Asset Discovery(20 Mins Max)V.Takeaways and summary(2 Mins Max)VI.Questions and Answers(10 Mins Max)

3、AGENDA OUTLINEThe Need for a Data MapThe Need for a Data MapDefinePolicies and documentation of activitiesObservePerformance against policies Identify gapsThe Need for a Data MapThe Need for a Data MapDefinePolicies and documentation of activitiesObservePerformance against policies Identify gapsCont

4、rolSet the relevant controls and enforcement to maintain compliance and reduce risksCross functional use casesacross multiple disciplinesGovernance layer for enterprise dataData ClassificationSystem DiscoveryEmployee inventory Context-based AnalysisData flowsA Single Source of Data TruthGuiding Prin

5、ciples:Granularity and PragmatismDiscovery Methods and ConsiderationsActual Use Cases and IntegrationsThe evolution of data protection toward AI governance“While required in several areas of law and grounded in responsible AI principles,explainability,fairness,security and accountability are also re

6、quirements in privacy regulations.”-IAPP Privacy and AI Governance Report Executive SummaryAI GovernanceAssessing long-term impacts of use at scaleSecuritySafeguarding from external threatsPrivacyEnsuring validity of internal usesData Protection has evolved as technology advances