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Roadmap
AI-ReadyDataEssentials
Howtogovern,qualifyandaligndatatodelivervaluewithAI
WhatisAI-readydata?Whyisitimportantnow?
OrganizationsthatfailtorealizethevastdifferencesbetweenAI-readydatarequirementsandtraditionaldatamanagementwillendangerthesuccessoftheirAIefforts.WithoutAI-readydata,thepromiseofAIwillfail
tomaterialize.RobustdatamanagementandgovernanceareessentialforsuccessandcanthemselvesbeenhancedthroughAI-drivenapproaches.LearnthecriticalstepsandstrategiesforpreparingdatatoharnessthepowerofAI.
AI-ready
MakeyourdatareadyforAI.MakeyourAIreadyfordata.
Dataquality
AIdatabiasmitigation
AIsyntheticPrompt
dataengineering
Chunking
vector
embedding
AIdata
enrichment
Source:Gartner
Traditional
data
management
AI-readydata
Business-
driven
workflow
Scalabilityperformance
Governmentpolicies
Data
engineering
Data
cataloging
AIdatalabeling
Data
product
Visualization
Semantics
Lineage
Through2025,
30
%
ofgenerativeAI(GenAI)projectswillbeabandonedafterproofofconceptduetopoordataquality,inadequate
riskcontrols,escalatingcostsorunclearbusinessvalue.
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WhatmakesdataAI-ready?
AI-readydatameansthatyourdatamustberepresentativeoftheusecase,ofeverypattern,errors,outliers
andunexpectedemergencethatisneededtotrainorruntheAImodelforthespecificuse.DatareadinessforAIisnotsomethingyoucanbuildonceandforall,northatyoucanbuildaheadoftimeforallyourdata.Itisaprocessandapracticebasedonavailabilityofmetadatatoalign,qualifyandgovernthedata.
Alignment
Qualification
Governance
?Quantification
?Semantics
?Quality
?Trustandfairness
?Diversity
?Lineage
?Consistencyassessment
?Validationandverification
?OperationalSLAs
?Versioning
?Continuous
regressiontesting
?Observabilitymetrics
?Datastewardship
?Inferenceandderivation
?Regulatoryandcompliance
?AIstandardssupport
?Datasharing
AI-readydata
Source:Gartner
Align
data
AI-readydata
Qualify
continuously
Govern
contextually
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Roadmap:AI-ReadyDataEssentials3
3keyquestionstoaskasyoudevelopandprioritizeyourAI-readydatainitiatives
1
Doesyourorganization’sdataalignwithuse-caserequirements?
2
HowdoyouqualifydatausetomeetAI-expectedconfidencerequirements?
3
HowdoyougovernAI-readydatainthecontextoftheusecase?
Whatarethekeystages?
Thisroadmapshowsthesequenceofobjectivesanddesiredoutcomesandisusefulforaligningall
stakeholders.ItisdistilledfrominteractionswithclientswhohavesuccessfullyimplementedAI-readydatainitiatives.AfewkeymilestonesandassociatedGartnerresourcesarehighlighted,butourfullroadmap
includescompletedetailsofallmilestonesandresourcesforeachstageoftheinitiative.
Assessdata
Gainbuy-infrom
Evolvedata
Extendthedata
managementreadiness
theboard
managementpractices
managementecosystem
Scaleandgovern
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Roadmap:AI-ReadyDataEssentials4
Assessdata
Gainbuy-infrom
Evolvedata
Extendthedata
managementreadiness
theboard
managementpractices
managementecosystem
Scaleandgovern
Stage1
AssessyourdataneedsdependingontheAIusecases.
Actionstotake
SampleresourcesavailabletoGartnerclients
Defineongoingdata
governancerequirementsthedatamustmeetinsupportoftheAIusecase,suchasdatastewardship,anddataandAIstandardsandregulations.
?Checklist:AssessYourDataManagementReadinessforAIInitiatives
?QuickAnswer:WhatMakesDataAI-Ready?
?Research:AGenerativeAIPlaybookforCDAOs
?Video:HowAI-ReadyDataDrivesGenerativeAIInnovation
EnsureyourdatameetsAI
use-caseexpectations,suchasquantification,semantics,quality,andtrustanddiversity.
Ensurethatthedatameetsexpectedconfidence
requirementsforAIuse
cases,suchasvalidationandverification,performance,
cost,andnonfunctionalrequirements.
Learnmore:
DownloadyourguidetodefiningAIambitionswiththeAIOpportunityRadar.
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Roadmap:AI-ReadyDataEssentials5
Assessdata
Gainbuy-infrom
Evolvedata
Extendthedata
managementreadiness
theboard
managementpractices
managementecosystem
Scaleandgovern
Stage2
Presentrequirementsfortheevolvingdatamanagementpractice,andgainbuy-inandsupportfromtheboard.
SampleresourcesavailabletoGartnerclients
?Research:Gartner’sExecutiveLeaderBoardPresentationLibrary
?Research:HowCDAOsShouldPresentTheirD&AInitiativetotheBoard
?ExpertInquiry:EngagewithanexpertonGartner’sFrameworkforAI-ReadyData
?ExecutivePartnerInquiry:EngagewithyourExecutivePartnertobenefitfromtheirpastexperiences
Actionstotake
Definecleargoalsandprovidemultiplewaystoreachthem.
EducatetheboardontheimportanceofinvestinginAI-readydataandmappingtheusecasesitenablestobusinessgoals.
BespecificaboutthevalueofAI-readydatatooverallAIsuccessandwhatisrequired;presentanoutside-in
perspective.
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Roadmap:AI-ReadyDataEssentials6
Assessdata
Gainbuy-infrom
Evolvedata
Extendthedata
managementreadiness
theboard
managementpractices
managementecosystem
Scaleandgovern
Stage3
Evolvedatamanagementpractices.
SampleresourcesavailabletoGartnerclients
Actionstotake
Assesstheknowledge
source:Categorizing
theunderlyingdataas
structured,semistructuredorunstructuredwillenableyoutoassesshandling
proceduresoridentifypotentialrisks.
Ensureenrichment:Metadataprovidescriticalcontextfor
yourcurrentRAGdeploymentandwillunderpintheenablingtechnologies.
Focusthescope:Centertheuniquecapabilitiesofretrieval-augmentedgeneration(RAG)aroundaspecificusecase
anddemonstratesuccessbyprovidingbusinessvalue.
?QuickAnswer:OptionsforUsingYourDataWithGenerativeAIModels
?Research:SuccessfulGenerativeAIProjectsRequireBetterMetadataManagement
?Research:ExploreData-CentricAISolutionstoStreamlineAIDevelopment
?DataandAnalyticsconferences:DiscovertheDataManagementtrack
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Roadmap:AI-ReadyDataEssentials7
Assessdata
Gainbuy-infrom
Evolvedata
Extendthedata
managementreadiness
theboard
managementpractices
managementecosystem
Scaleandgovern
Stage4
Extendthedatamanagementecosystem.
SampleresourcesavailabletoGartnerclients
EvaluateandtesttheGenAI-enableddatamanagementcapabilitiesprovidedby
vendors,andonlydeployifthelevelsofaccuracy,quality,securityandprivacyare
sufficient.
BuilddataliteracyandGenAIskillstosafelyusethese
emergingdatamanagementtechnologiesanddetect
potentialpitfalls.
Actionstotake
Buildastrongmetadata
practice,includingrich
semantics,toimprovetheaccuracyofGenAIontopofenterprisedata.
?Research:HowtoBoostGenAIImpactonDataQualityInitiatives
?Research:HowWillLLMsImpactDataQualityInitiatives?
?Research:ChoosingtheOptimalVectorDatabaseforYourGenAIProduct
?InnovationInsight:HowGenerativeAIIsTransformingDataManagementSolutions
?Phoneconsultation:Discussmethods,toolsandcharacteristicsofadatamanagementecosystem
?Tool:GartnerBuySmart?capabilitiesfordatamanagementecosystems
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Roadmap:AI-ReadyDataEssentials8
Assessdata
Gainbuy-infrom
Evolvedata
Extendthedata
managementreadiness
theboard
managementpractices
managementecosystem
Scaleandgovern
Stage5
Scaleandgovern.
SampleresourcesavailabletoGartnerclients
?Research:ArtificialIntelligenceRequiresanExtendedGovernanceFramework
?Research:HowtoDesignanEffectiveDataandAnalyticsGovernanceOperatingModel
?Tool:IdentifyandMitigateTopGenAIRisks
Actionstotake
Assesscurrentdataand
AIliteracylevels,devisea
curriculumandbuildaplantodevelopstaffasacriticalpartofchangemanagementtosupportgovernanceandvaluerealizationgoals.
Setupgovernanceinitiativeswithassociatedstructure,
roles,processesandpracticesdrivenbyoutcomes;expand
existingD&Agovernanceprograms,including
establishinganAIboard.
Identifyandtrackregulatorychanges,assessimpact
ontheenterpriseandbuildplanstoaccelerateandaligninitiativessuchasAIethicsandresponsibleuse.
Learnmore:
DownloadyourCustomizableRoadmapforDataGovernance
.
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Roadmap:AI-ReadyDataEssentials9
Whoneedstobeinvolved?
Themostsuccessfulcompaniesestablishcross-functionalteamsfortheirAI-readydatainitiatives.Wehaveoutlinedtherecommendedfunctionstoinvolveandtheirrolestoensurethebestsuccessinhittingthemilestones.
CDAOandTeam
Buildthefoundationforthe
management,measurementand
monetizationofD&Aassetsfor
AI-driveninnovationandbusinesstransformation.Theyensurevaluerealizationbybuildingadata-drivenanddata-andAI-literatecultureandbyleadingdata,analyticsandAI
governanceinitiativestomitigateriskandensuretrust.
CISOandTeam
EngagewiththeCDAOand
governanceleaderstoensurethatriskmanagementandinformation
securityimplicationsare
understoodandaddressedinthedata,analyticsandAIgovernanceinitiative.TheCISOalsoguides
planningactivitiesfordataassetmanagementandgovernance,
andriskandcomplianceactivities.
CFO
WorkswiththeCDAOto
modernizevaluemeasurementandrealizationapproachesandD&Abudgetprocessestoensureoptimalallocationofresourcesandimpactonenterprisevalue.
DataManagementLeader
Createsbusinessimpactby
investinginamodernD&A
ecosystemtodeliverreusable
dataproductsthataddress
enterprisewideD&Arequirementsanddata-driveninnovation
opportunities.
DataEngineers
TheyworkcloselywiththeCDAOandtheirteamstodeliveranAI-readydatafoundation.
Sourcing,Procurement
andVendorManagementLeader
WorkswiththeCDAOtoidentify,assessandselecttechnology
vendorsandexternalserviceproviders.
DataManagementArchitects
PlantheD&Atechnicalroadmap;designandimplementmaster
datamanagementpolicies,datapipelinesanddatastores;selectD&Atoolsandvendors;architectandimplementD&Asolutionsthatspanapplication,infrastructure
andsecurity;andarchitectanddesigndatagovernancetoolsandprocedures.
AITeam
TheyrelyontheCDAOandtheirteamtodelivertheAI-readydataandgovernancenecessaryforAIapplications.
Mission-criticalteammembers
CIO
Createsacollaborativeworking
structurewiththeCDAOwithclearresponsibilitiesforeach.TheCIOneedstopartnerontechnology
trends,architecture,infrastructure,platformsandtools.
EnterpriseApplicationLeaders
CollaboratewiththeCDAOandenterprisearchitecttoimplementmoderndatamanagement,
analyticalapplicationsand
composablesolutions.They
supportandmanageapplicationstoachieveD&Astrategyand
governanceobjectives.
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Roadmap:AI-ReadyDataEssentials10
HowGartnersupportsyourpriorities
Discoverthe
PotentialofData,AnalyticsandAIfortheBusiness
Engage
Stakeholders
andAlign
Expectations
Demonstrate
ROIandMeasure
BusinessValueof
Data,Analyticsand
AIInitiatives
ExecuteandEmbed
Data,Analytics
andAIInitiatives
Effectively
Createan
Actionable
Data,Analyticsand
AIStrategy
Establish
andEvolvean
OperatingModel
DriveCulture
ChangetoSupport
Data-Driven
Decisions
ManageData,
Analyticsand
AIGovernance
andAssets
BecomeaSuccessfulD&ALeader
ScaleData,
AnalyticsandAI
Platformsand
Ecosystems
Architectand
Optimizethe
Technology
Landscape
IdentifyBusiness
andEmerging
TechnologyTrends
Organize
andDevelop
Data,Analyticsand
AITalent
ManageRisk
AspectsofData,AnalyticsandAI
EvolveTechnologyandProcess
CapabilitiestoSupportD&A
LeadaWorld-ClassD&AOrganization
GartnerPrioritiesNavigator?
forChiefData&AnalyticsOfficers
BuildTrustandMatureD&ACulture
DriveQuantifiableValueWith
D&ASolutionsfortheBusiness
AsyouareworkingongettingyourdataAIready,GartnercoversthedepthandbreadthofCIOandCDAOpriorities.
Digital
Performance
CIOImpactonDigitalBusinessStrategy&Execution
EnableDigital
BusinessStrategy
&Design
DriveEnterprise
Governanceof
Technology
SupportDigital
Products&
Services
DistributeTechnologyLeadership
DevelopExecutiveLeadership
CIOExecutiveLeadershipDevelopment
Assess&
ImproveDigital
Performance
Create&ExecuteITStrategy
EvolveOperatingModels
GartnerPrioritiesNavigator?
forChiefInformationOfficers
CIOLeadershipofCulture&People
EvolveITOrgStructure
LeadOrgChange&ShapeCulture
BuildanAdaptiveTechnology
Workforce
ModernizeI&OandCloud
BuildSoftware
&Deliver
Applications
DeliverD&A,
AIandDigital
Platforms
DigitalFoundations
Foster
Technology-
Enabled
Innovation
Track&AssessDisruptiveTrends
EvaluateEmergingTechnologies
2024
Manage
Technology
Risk
Demonstrate
theBusiness
ValueofIT
Manage
Technology
Financials
TechnologyFinance,Risk&ValueManagement
CIOInnovationLeadership
GartnerforChiefInformationOfficers
Gartnerprovidesinsight,toolsandguidancetosupportinitiativesfromimprovingdigitaldeliveryandevolvingITorganizationalstructuretomodernizingI&Oandcloudwhile
upskillingandretainingtalent.ByworkingwithGartner,CIOscanmeasurablyimpactthebottomline,demonstratethevalueofITanddriveorganizationalobjectives.
GartnerforChiefData&AnalyticsOfficers
Gartneroffersinsight,toolsandguidancetohelpCDAOsaddressfouressentialneeds:leadaworld-classD&Aorganization,drivequantifiablevaluewithD&Asolutionsforthebusiness,buildtrustandmatureD&Aculture,andevolvetechnologyandprocess
capabilitiestosupportD&A.
Source:Gartner
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Roadmap:AI-ReadyDataEssential
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