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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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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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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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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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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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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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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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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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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