在整個公司擁有單一的數據真實來源有什么價值？.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 advancesEU AI Act adopts a r

7、isk-based approach,classifying AI systems into four different risk categories with corresponding management responsibilities.Source:https:/www.adalovelaceinstitute.org/resource/eu-ai-act-explainer/Most common use cases for ML are not significantly impacted.Although extra consideration might be given

8、 for internal use cases.Source:https:/www.adalovelaceinstitute.org/resource/eu-ai-act-explainer/Governance Frameworks around AIStart by cataloging AI related assetsCustomer Support BotsMarketing Asset GeneratorsAmazon BedrockHomebrew AI ModelsOpenAI APIAzure AI BotRelevant use casesAssetWhere to fin

9、d themDeveloperDeployerUserStakeholders:Data scientists and researchersR&D,Directory,Communication platformsvvvTraining/data setsStorage systems,databasesvvCode packages,AlgorithmsLegal,EngineeringvSaaSProcurement,Security,SSO,Data mapping platformsvvvML Ops ServicesCloud platform,EngineeringvvStart

10、 by cataloging AI related assetsFragmented SolutionsQ&A*Meet Kobi for one on one follow ups and see MineOS in action at Booth#2HOW DID THINGS GO?(WE REALLY WANT TO KNOW)Did you enjoy this session?Is there any way we could make it better?Let us know by filling out a speaker evaluation.1.Open the Cvent Events app.2.Enter IAPP DPIUK24(case and space sensitive)in search bar.3.Tap“Schedule”on the bottom navigation bar.4.Find this session.Click“Rate this Session”within the description.5.Once youve answered all three questions,tap“Done”.Thank you!