Capgemini-打造成功的Gen AI數(shù)據(jù)驅(qū)動(dòng)型企業(yè)（英）

Buildsuccessasa

GenAIdata-powered

enterprise

Here’swhyandhowtomakeithappen

2

Dataisanassetthatrequiresinvestment,management,andgovernanceasGenAIapplicationsneedasolid

foundationofclean,accurate,andusabledatatodelivermeaningfulresults.Adata-poweredenterprisehasa

strongfoundationthatreducesthecomplexityofthe

ecosystem,u∩deΓsta∩dsthedi阡eΓe∩cebetwee∩pΓoof

ofconceptandscaledprojects,connectsdataprocessesandpolicy,andsupportstheagilityneededtomove

quickly.

BusinessleadersareincreasinglyrecognizinggenerativeAI’svalueasanacceleratorfordrivinginnovationand

revenuegrowth.Anamazing

91percentoforganizations

areexperimentingwithorinvestinginGenAI,and

88per

centoforganizations

plantofocusonAI–includingGenAI–inthenext12to18months.

ButthemajorityoforganizationsthatmanagetoscaleuptheirGenAIinitiativessubsequentlystruggleto

extΓactsi9∩i?ca∩tvaluefΓomtheiΓi∩vestme∩ts.A∩d

oftenthat’sbecauseofissueswiththeirdataanddata-managementpractices.

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3

Data-powered

defned

WeidentifedninekeyattributesintheCapgeminireport

Data-poweredenterprises:Thepathtodatamastery.

These

dimensionscollectivelyempowerorganizationstocreate,process,andleveragedatatoachievebusinessobjectives,increaseoperationalexcellence,improvecustomer

experience,anddriveinnovation.

BuildsuccessasaGenAIdata-poweredenterprise

4

Defningthedata-poweredenterprise

Data-poweredenterprises:Thepathtodatamastery,CapgeminiResearchInstitute2024

BuildsuccessasaGenAIdata-poweredenterprise

Thesamereportfoundthat,overthepastfouryears,

almosttwo-thirdsofexecutivesstatetheirorganizationsuseactivateddata,whichisinformationthathasbeen

embeddedwithincorebusinessprocesses.However,thedatamaturityprogressmadetounlockthevalueofdatainthesenineareasindicatesotherwise.

While80percentofglobalorganizations

increasedtheirGenAIinvestmentthisyear,only54percentof

Only

54%

ofdataexecutivesareawareofthedatafoundationsrequiredtowinintheAIera

dataexecutivesareawareofthedatatrustandguidingprinciplesrequiredtosucceedwithAIadoption.That

meansthemajorityoforganizationsthatmanageto

scaleuptheirGenAIinitiativessubsequentlystruggleto

extractsignifcantvaluefromtheirinvestments.That’s

oftenbecauseissueswithdataanddata-managementpracticesimpedesuccess.

In2024,

80%

ofglobalorganizationsincreasedtheirinvestmentinGenAIfromlastyear

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6

Theirrefutablevalueofdata

E∩teΓpΓisebusi∩essesalΓeadyu∩deΓsta∩dthevalueofi∩foΓmatio∩,asleadeΓswhosaytheiΓoΓ9a∩izatio∩iscashi∩9i∩o∩datahasdoubledsi∩ce2020一uptotwo-thiΓdsi∩2024.Butdataqualityisofte∩a∩issuei∩achievi∩9AIatscale,asmuchofittypicallyco∩sistsofu∩stΓuctuΓed

emails,videos,ima9es,socialmediaposts,

a∩dHTMLco∩te∩t.Thesedatatypesmake

ide∩tifyi∩9,collati∩9,a∩alyzi∩9,a∩dextΓacti∩9i∩si9htsachalle∩9e.Ifa∩oΓ9a∩izatio∩’sdataislowquality,pooΓly9ove?！蒭d,siloedi∩dispaΓatesystems,oΓlade∩withsecuΓityissues,oΓifa∩

oΓ9a∩izatio∩ishampeΓedbylimitedaccess

totherighttechnologyskillstoefectively

leveΓa9eit,theywo∩’tbeableextΓactthemostvaluefΓomGe∩AI.

BuildsuccessasaGenAIdata-poweredenterprise

7

Here’showorganizationscanefectivelyunlockandsuperchargetheirdata.

1

3

Startstrong

Buildadatafoundationthatcanunlocktimely,accurate,

andrelevantinsightstodriverealoutcomes.Thisisthefrst

steptowardbecomingadata-poweredenterprise.

Createtheabilitytoscale

Companiesoftenseesuccesswithproof-of-conceptGen

AIproductsbutsuccessratescandropdramaticallywhentheymovetoproduction.Thekeyisqualitydataandthecapacitytocreateaclear,sharedenterprise-widedata

taxonomy.Engineeringteamsneedstrong,coordinateddatasecurityandcompliancepoliciesandprocedures

aswellasthecapacitytoorchestrateamultiple-vendorpurchasingstrategy.

2

Avoidexcessivelycomplexecosystem

Dataisoftensiloedintodisparatetechnologiesand

softwareproducts.Muchofthedataisunstructuredorlowquality,andvettingitandrestructuringittoanalyze,compare,andgenerateinsightsrequirestime,skill,andbudget.

4

Removeobstaclestoefcientdelivery

Organizationsmustmovefastandkeepcostsdown

todeliverontheircommitment.Withoutmanaging

complexityandscalability,thisbecomeschallengingandcostly.

Ultimately,drivingresultsandreturnsmeansdatamustbeaccessible,structured,trustworthy,andmature.

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Workingtogetheron

dataenablementtocreate

anadvantage

MostGenAImaturityjourneysstartinthesameplace:

businesseswantChatGPT-likeexperiencesandthey

encounterthousandsofopen-andclosed-sourcedGenAImodels.Accessingtrust,cost,andscalecontrolsinasingletoolkitisthereforeinvaluable.

That’swhyCapgeminiisworkingwithDatabricks

andInformaticatoprovideasolutionforenterprise

organizationsthatenablesthemtomatureandleverage

datamoreefectivelytodrivebusinessresults.Our

approachlooksatdataasaproducthub.Bycombiningthebestcapabilitiesofenterprisedatamanagement

platformsonthecloud,alongwiththecapabilities

ofthebestGenAIsolutionsandcapabilitiesfrom

the

DatabricksDataIntelligencePlatform

,andwith

Informatica’sIntelligentDataManagementCloud,

we’resimplifyingthedata-managementprocesswithinone

toolasanefcient,interoperable,andscalableGenAI

developmentplatformandframework.

Capgemini

RAISE,

ourReliableAISolutionEngineeringsolution,includeskeycapabilitiesfromDatabricks:

trainingandserving(MosaicAIandAI/BI),data

warehousingDatabricksSQLandUniForm)andmachinelearning(MLfow)capabilities,allusingopenstandards

andcomplementedbykeyInformaticacapabilitiesincludingdataintegration,dataquality,no-codeAIapplicationdevelopmentandtrustedmasterdata;comprehensivedatagovernanceisprovidedbythe

combinedsolutionofDatabricksUnityCatalogand

Informatica’sCloudDataGovernanceandCatalog.This

makesdatausableonmultiplecloudsacrosshybrid

environmentsandreducesthecomplexityofmanaginganend-to-endplatform.Andit’savailabletobedeployedonexistingdataplatformsincludingMicrosoftAzure,

AWS,andGoogleCloudPlatform.

BuildsuccessasaGenAIdata-poweredenterprise

CapgeminiRAISEworksonmultipleplatformsincludingMicrosoftAzure,AWS,andGoogleCloudPlatform.

AsaGenAIvaluecasesoperationalaccelerator,Capgemini

RAISEdeliverstangiblebusinessresults,enabling

organizationstoindustrializecustomGenAIprojectswiththerightguardrails,andaddressestheissuesofdata

complexity,trustreadiness,andscalabilitybycreatingthe

unifeddatagovernanceandAIriskframeworkrequired

forGenAIdatapilots.ItequipsorganizationsforGenAIscalingwithafocusonbusinesspriorities.

CapgeminiRAISEisnotaone-size-fts-allproduct.Itcanbebuiltinmodules,withthefexibilitytomeetuniqueneeds

whiledeliveringanend-to-endvaluechainforenterprise-widedatamanagementforGenAI.

Pilot,scale,andindustrialize

GenAItodeliverbusiness

benefts.

Workingseamlesslywithexistinginfrastructure,Capgemini

RAISEalsoenhancesdatasynergyanddemocratization

acrossthebusinesswiththedatafoundationnecessarytoimplementandscaleGenAIandotherinnovations

poweredbydata.Theacceleratorcanidentifyand

industrializedataproductsforAImodelsconsumption,

andensuredemocratizationofdatathroughadatamesh,

whichisadecentralizeddataarchitecturedesignedto

improvedataaccess,security,andscalabilitybydistributingownershipandmanagementacrossbusinessdomains.

Thisefectivelygivesdata-poweredorganizationsan

advantage,andtheabilitytopilot,scale,andindustrializetheirGenAIapplicationsandservicestoachievethe

desiredresults.

GenerativeAIholdsgreatpromiseforenterprisesinanysectorbuttherearesubstantialchallengestobuildingefectivesystemsatscale.Capgemini

RA/SE

andour

partnershipwith

DatabΓicks

and

/∩foΓmatica

solvethose

issuestoday.Contactustolearnmore.

9

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Authors

Pleasereachoutwithquestionsortoschedulea

conversationaboutthispaper’scontentandourcapabilitiestoassistyourorganization.

RikTamm-Daniels

GVPEcosystems&AlliancesInformatica

EricReich

OferLeaderandGlobalHeadof

AI&DataEngineering,Insights&

Data,Capgemini

10

RyanSimpson

ManagingTechnicalAllianceLead,Databricks

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AboutDatabricks

DatabΓicksistheDataa∩dAIcompa∩y.MoΓetha∩10,000

organisationsworldwide—includingBlock,Comcast,

CondéNast,Rivian,Shellandover60%oftheFortune500—relyontheDatabricksDataIntelligencePlatform

totakeco∩tΓoloftheiΓdataa∩dputittowoΓkwithAI.

DatabricksisheadquarteredinSanFrancisco,withofces

aΓou∩dthe9lobe,a∩dwasfou∩dedbytheoΓi9i∩alcΓeatoΓs

ofLakehouse,ApacheSpark?,DeltaLakeandMLfow.To

lea?！蒻oΓe,followDatabΓickso∩

LinkedIn

,

X

a∩d

Facebook.

AboutInformatica

Informatica(NYSE:INFA),aleaderinenterpriseAI-powered

clouddatama∩a9eme∩t,bΓi∩9sdataa∩dAItolifebyempoweΓi∩9busi∩essestoΓealizethetΓa∩sfoΓmativepoweΓoftheiΓmostcΓiticalassets.WehavecΓeateda∩ewcate9oΓyofsoftwaΓe,theI∩foΓmaticaI∩telli9e∩t

DataManagementCloud?(IDMC).IDMCisanend-to-

enddatamanagementplatform,poweredbyCLAIRE?AI,thatconnects,managesandunifesdataacrossanymulti-

cloudoΓhybΓidsystem,democΓatizi∩9dataa∩de∩abli∩9e∩teΓpΓises