SAP的生成式AI優(yōu)勢(shì)The+SAP+Advantage+for+Generative+AI

IBMInstituteforBusinessValue|ResearchInsights

TheSAPadvantage

forgenerativeAI

Creatingacross-enterpriseedge

HowIBMandSAPcanhelp

IBMandSAPpartnertohelpenterprisesaccelerateAI

adoptionatscaleforgreaterproductivityandROI.Both

companiesofferawidearrayofSAP-specificgenerativeAIsolutions,includingembeddedAIandgenerativeAI

capabilitiesthatcanbeimplementedacrossbusiness

processesandfunctions,aswellassolutionsandapproachesthathelporganizationsdevelopandimplementtheirown

customAIandgenerativeAIcapabilities.Ourcollective

approachtoAIandgenerativeAIistobuildcapabilitiesinanopenecosystemonafoundationofmutualtrust.Withdeep

SAPconsultingexpertise,IBMpartnerswithSAPtoaddclientvaluethroughouttheAIjourney.Formoreinformation,visit

/consulting/sap

and

.

3

Key

takeaways

56%ofexecutivessay

theyplantodivert

spendingfromotherbudgetareasto

SAP-specificgenAI.

Cloud-basedSAPsystems

accelerategenerativeAIprogress.

44%oforganizationssayhavingacloudarchitecturefortheirSAPsystemshashelpedthemmovefasterwiththeirSAP-specificgenAIinitiatives.

Ethicschallengesmay

behinderingadoption,especiallyfororganizationswithinadequateAIgovernance.

65%ofexecutivessaytheywillforegothebenefitsofSAP-specificgenAIbecauseofethicsconcerns.TheseethicsconcernsarenotspecifictotheSAPplatformorSAPdata,bothofwhichareatrusted

startingpointformanygenerativeAIprograms.

SAP-specificgenAIisalreadyboostingoperatingmargins.

ThoseorganizationswiththemostmatureSAP-specificgenAIbusinessandtechnicalcapabilitiesexperienceanaverageof20%profitmarginscomparedtoan

averageof16%fortheirpeers.

4

DrivinggenAIsuccesswithSAPsystems

OrganizationsseekgenerativeAIinitiativesthatcanlearn,adapt,andrevolutionizeoperations,products,andservicesatanunprecedentedscale.EnterSAPsystems,anidealresourcebecause:

—Theydigdeep.SAPsystemsyieldahighvolumeandvarietyofdata.

—They’rewellorganized.TheinherentstructureofSAPsystemsempowersgenAI

modelstoprocessinformationmoreefficientlyandextractvaluableinsights.—They’retrusted.SAPdataisaccurate,wellmaintained,andsecure.

—They’reconnected.Well-architectedSAPplatformsenabledatasharing.

NewresearchfromtheIBMInstituteforBusinessValue(IBMIBV)andtheSAP

ResearchInsightsCenter(SAPRIC)showsthatSAPdataisagoldmineforgenerativeAIinitiatives.Weconductedthreesurveysofmorethan1,200executivesovera

seven-monthspantounderstandhowtheirorganizationsareimplementinggenAI

solutionsacrosstheirSAPplatformsanddata(see“Studyapproachandmethodology”onpage20).

OurresultsrevealadistinctiveadvantageforthoseorganizationswiththemostmaturecapabilitiesinSAP-specificgenerativeAI.Theyexperienceaboostinprofitability,

outpacingtheirpeers.OrganizationsintegratinggenAIstrategicallyacrossbusinessareas—versususingapiecemealapproach—areparticularlyfarahead.

ExecutivesincreasinglyrecognizethevalueinlinkingSAPsystemstoAI.MorethanhalfofgenerativeAIspendisbeingdirectedtoSAP-specificinitiatives,ourresearchshows.Infact,56%ofexecutivessaytheyplantodivertspendingfromotherbudgetareastoSAP-specificgenAI,withone-thirdsayingthatSAPsystemsholdthemostdatacriticaltotheirsuccess.TheseencouragingfindingssuggestAIinnovationleveragingSAP

systemswillbearfruitforthosewhoadoptandadaptmostquickly(seecasestudy,“PoweringFormulaOneperformance”).

Whatfollowsisaroadmaponhowbesttoleverage

SAP-specificgenAIinitiatives.Inpartoneweexplorekeyprerequisites,fromcloudinfrastructuretoskillstogovernance.Inparttwowedelveintostrategic

investments,includingspecificbusinessareasthatareexperiencingearlysuccess.Bothpartoneandparttwoarepunctuatedbyexamplesthatbring

SAP-specificgenerativeAItolife.Finally,weoffer

anactionguidethatspanstech,talent,andstrategytohelpdrivethemostvaluefromSAP-specific

genAIimplementation.

Organizationswith

themostmaturecapabilitiesinSAP-specificgenerativeAIoutpacepeersinprofitability.

Casestudy

PoweringFormulaOneperformanceatMercedes-AMG1

Mercedes-AMGhasarichhistoryofsuccessin

FormulaOneracing:sevenconsecutiveWorldDrivers’ChampionshipsandeightconsecutiveWorld

Constructors’Championships.Thislegacyisbuiltontheteam’sabilitytooptimizeeveryaspectofits

racingstrategyandoperations.WithSAP-specific

generativeAI,teamsnowleveragereal-timeinsightsincarperformance,driverbehavior,andtrack

conditions.Analyzingdatafromsensors,cameras,andotherinternalSAPdatasources,genAIhelpsoptimizeracingstrategy,accountingfordiverse

factorssuchastirewear,fuelconsumption,crewconditions,andaerodynamics.

Mercedes-AMGalsousesgenAItohelpkeep

financialandphysicalresourceswithintheF1cost

cap,balancinghighperformanceandcostefficiency.

WithintheAI-enrichedSAPS/4HANAFinance

module,teamsallocate,save,andapplyresourcesbyforecastingcosts,predictingfinalbudget

requirements,andoptimizingessentialinputsinseconds.

5

Partone

EssentialingredientsforgenAIsuccess

Theadvantageofcloudinfrastructure

GenAIdemandsanarchitecturethatcanhandlevastvolumesofcomplexdatawhiledeliveringsignificant,scalablecomputingpowerandadvancedsecurity.2Cloud

environmentsareanaturalcomplement,servingasafoundationforasecurity-rich,centralizedplatformfordatamanagementandcollaboration.AhybridcloudSAP

architectureprovidesaccesstoexpensiveGPUsonlywhenneeded,aswellastheflexibilityandscalabilitytoswitchbetweenmodelsandservices.

WhileorganizationstypicallydeploytheirSAPsystemsinmultipleenvironments,

manyareincreasinglyoptingforacloudorhybriddeploymenttogainscalabilityandintegrationcapabilities.3ExecutivesreporttheirSAPsystemsareeitherhosted

inahybridenvironmentcomprisingcloudandon-premisesresources(41%)orarefullyhostedinthecloud(42%).

OrganizationsleveragingcloudforSAPsystemsreportpositiveresults:44%

saythearchitecturehashelpedthemmovefasterwiththeirgenAIinitiativesversus12%whosayitisslowingthemdown;therestreportnoimpact(seeFigure1).

Nearlytwo-thirds(60%)saytheirSAPinfrastructureisnowoptimizedtosupport

theirSAP-specificgenAIgoals.ThoseorganizationswiththemostadvancedSAPcloudarchitectures—includingRISEwithSAPandSAPS/4HANA—areexperiencing10%higherrevenuegrowththanthosewithlessmaturearchitectures.

Forthosenotfullyoncloud,theurgencyisreal.Manyorganizations(67%)runningSAPareacceleratingthatprocessspecificallytocapturethebenefitsofSAP-specificgen

AI.Thisisupfrom59%inMarch2024,suggestingthatexecutivesseetheneedforgenAI-readycloudinfrastructuretounlockSAPsystempotential(seecasestudy,“‘Speaking’financewithgenerativeAI”).

6

7

FIGURE1

Cloudarchitectures

arehelpingaccelerate

SAP-specificgenerativeAIadoption.

44%

Accelerating

adoptionof

SAP-speci?cgenerativeAI

12%

Impeding

adoptionof

SAP-speci?cgenerativeAI

OurSAParchitectureis...

Q.WhatimpactisyourSAPcloudarchitecturehavingonadoptionofSAP-specificgenerativeAIinyourenterprise?

8

Perspective

“Speaking”financewithgenerativeAI4

Financespeaksitsownlanguage.Withoutpropercontext,common

financetermssuchasforecast,revenue,sales,andvolumehavevariousmeaningsacrosstheenterprise.Foralargeenergycompany,the

compoundterm“forecastedvolume”means58differentthingswithintheorganization.So,usingnaturallanguagemodelsintheSAPfinancedomainwasnotgoingtowork.GenerativeAIneededatranslatorto

sensiblyrespondtofinance-specificqueries.

Enterexplicitlanguagemodels(ELMs)—anapplieduseoffinanceprocessesandgenAItechnologiestoenablenaturallanguage

processingoffinancedata.IBMisbuildingthisnovelapproachsothat

theenergycompany’semployeescanusebusiness-specifictermssuchas“CostofGoodsSold(COGS)”tointeractwithSAPdata.Inearly

testing,thisinnovationisprovingeffectiveatstreamliningstandard,

oftenlabor-intensivefinanceprocessesandreports.Similarfinance-

specificgenerativeAIapplicationsenabledthroughSAPHRcapabilitiesmoreefficientlytranslaterequirementsfromstatementsofworktojobandworkforcerequirements.

WhenSAP-specificgenerativeAItoolsspeakthelanguageoffinance,

manyofthemosttime-intensiveprocessesinthefinancedomaincanbeautomated,orpartiallyautomated.Thisallowsfinanceprofessionalstofocusonwhatmattersmost:themeaningbehindthemessagesandthelarger-pictureimplicationsfortheorganization.

Similarprocessimprovementsareplayingoutinotherfinance-adjacentareas.IBMandSAPhaveretailsolutionsthatleveragereal-timedata

processingandAI-assisteddecision-makingthatintegratedistributionneedswithinstructionsgiventotransportationmanagementproviders.ThesesolutionsrelyonAImodelsthatcontinuouslyassesstime-series

datarelatedtoweather,traffic,andotherrelevantconstraintstodynamicallyadjustshipmentplans.

WhenSAP-specificgenerativeAItoolsspeak

thelanguageoffinance,manyofthemost

time-intensiveprocessesinthefinancedomaincanbeautomated,orpartiallyautomated.

9

FIGURE2

Organizationsthat

strategicallyapply

SAP-specificgenAIaremoreconfidentintheirworkforceskillsets.

BasedonIBMIBVanalysis.

Q.Myorganizationhastheright

skillstoextractimmediatevalue

fromSAP-specificgenerativeAI.

Percentagerepresentsexecutives

answeringagreeandstronglyagree.

Identifyingskills,buildingtalent

ForgenerativeAIinitiativestosucceed,havingtherighttalentcanbeasimportant

asthetechnologyitself.WhilegenAIcanamplifyhumancapabilities,itoftenrequiresrefreshedskillsets.

PreviousresearchfromtheIBMIBVfoundthatexecutivesincreasinglyvaluesoftskillsovertechnicalskills.Dataliteracyandmachinelearningfundamentalssuchasmodeltrainingandpromptengineeringare,ofcourse,corecapabilities.Butexecutivesrankproblemsolving/crisisresolutionastheskillaffectedthemostbytheemergenceof

generativeAI.Businesscommunicationandagilityarenextonthelist.5

Inournewsurvey,69%ofexecutivessaytheirorganizationhastherightskillsto

extractvaluequicklyfromtheirSAP-specificgenerativeAIinitiatives,up14

percentagepointsfromfourmonthsearlier.Similarly,58%considertheirAItalentandskillstobeexceptionalorbest-in-class.AmongthosethathavesuccessfullyembeddedorintegratedSAP-specificgenAIacrossmultiplebusinessfunctions,92%saytheyhavethenecessarygenAItalentandskills(seeFigure2).

OrganizationsofalltypescanfilltheAIskillsgapsthroughfocusedreskilling,hiring,andworkingwithbusinesspartners.GenAIcanhelpHRleadersmoreefficiently

identifyandquicklypreparefordiscussionswithpotentialrecruits.What’smore,genAIitselfcanhelprampupskillsbyacceleratingadaptive,personalizedlearning.Forexample,itisalreadyrevolutionizingcorporatefinancetrainingbyenabling

personalizedlearningexperiencesthroughtutorspoweredbylargelanguagemodels

(LLMs)thatadapttoeachlearner’space,style,andcomprehensionlevel(seePerspective,“AIreshapesfinancework”).Andthisapproachcanbeappliedtovirtuallyanybusinessarea,includingtechnology.

Organizationsshouldalsofocusonalleviatingemployees’concernsaboutbeing

replacedbyAI,emphasizingthatAIisintendedtohelpthemworkfasterandsmarter,nottaketheirjobs.6OfferingemployeeswaystoexperimentwithSAPdataandgenAItools—withpropersecurityprecautionsandgovernanceinplace—cansparkcreativityandconfidenceaswellasgreaterbuy-inandultimatelygreatersuccess.

oforganizations

thatarestrategicallyintegratingSAP-speci?cgenAIacross

multiplebusinessfunctionssaytheyhavethenecessarygenAItalentandskills

92%

10

Perspective

RecentresearchcommissionedbySAPInsightshighlightshowAIischangingthewayworkgetsdoneinthefinancefunction.Accounting,datamanagement,planningand

strategy,controlling,andanalysisarethemostimpactedareas,whereAItoolsare

helpingtoautomateroutinetasks,improvespeedandaccuracy,andprovideanalyticalsupport.Bytakingcareofmundanetasks,AIfreesthefinanceteamtoperformthe

next-levelanalysisontransactionsandreportsforstrategicdecision-making.

AIreshapesfinancework7

Theresearchconfirmsthathumanskillsarestillneededforcriticalthinkingandethics,problem-solving,andcreativity.ButitalsorevealswhereAIislikelytotakeovertasksthatpeoplecurrentlyperform,suchasassetvaluation.AreaswherehumanjudgmentisnotrequiredtoaslargeadegreewillexperiencetheimpactofAIsooner.

Gettingaheadongovernance

GenAIintroducesanentirelynewrealmofethicalandtrustconsiderations—whichmeansorganizationsneedupdatedgovernance,risk,andcompliancemeasures.

Leaderscan’tfocusononlywhatgenAIcando.Theymusttalkaboutwhatitshoulddo.Issensitivedataprotected?Doestrainingdatarespectcopyrights?Areoutputsbiasedorjustwrong?8

GenerativeAIgovernancechallengestranscendtheentireenterprise.Buteven

high-qualityERPdatamayhavehiddenbiases—ortheAImodelitselfcanintroduce

biasesbasedonhowit’strained.Organizationsneedasolidunderstandingofhowthemodelarrivesatthecontentitcreates.Meanwhile,thedataandthemodelsmustbe

protectedfromemergingcyberthreatsthatcanalterbothinputsandoutputsformaliciousintent.9

Thesechallengesmaybehinderingadoption:thepercentageofexecutiveswhosaidtheywillforegothebenefitsofSAP-specificgenAIbecauseofethicsconcernssurgedfrom26%inMarch2024to65%inJuly2024(seeFigure3).Thispivotsuggestsan

urgentneedfortightergenAIgovernanceandexplainswidespreadadoptionbySAPandothersofUNESCO’s10guidingprinciplesforethicsinAI.10

Toincreaseenterpriseawarenessofethicalandregulatoryissuesandestablish

actionsforhowtoaddresstheirimpacts,organizationsneedtoestablisha

comprehensivegenAIgovernanceframework.EmergingAIregulationssuchastheEUAIActoffermoreclarityarounddegreesofriskandcorrespondingresponsibleAIrequirements.11EnterprisesthatalreadyfacedynamicregulatoryenvironmentsarebetterpositionedtounderstandthetaskofSAP-specificgenAIgovernance.

11

AIgovernanceshouldenablebroadoversightandcontroloverAIsystems.

AIgovernancebestpracticesmustextendbeyondsimplycomplyingwithregulationstoencompassingamorerobustsystemformonitoringandmanagingAIapplications.ForenterprisesusingSAPsystems,thatcanmeanupdatingfunctionalworkflowstoaccountforthenewguidanceandbuildinginflexibilitytoadaptasregulationsunfold.

AIgovernanceshouldalsoenablebroadoversightandcontroloverAIsystems.

Examplesofelementstoincludearevisualdashboardsthatprovidereal-timeupdatesonthehealthandstatusofAIsystems,automatedmonitoringandperformancealerts

formodelbiasanddrift,andaudittrails.12

Mostexecutives(70%)saytheirorganizationshaveclearpoliciesabouttheproperuseofgenAI.ThatincludesnotallowingSAPdatatobeusedinpubliclyavailablegenAI

tools.Thesearepositivefirststeps,butpoliciesanddirectionarenotasstrongasformalgovernancestructures.OrganizationsmustbuildaninternalculturefocusedonresponsibleAI,embracingemployeeeducation,championingethicsteamsandpolicies,andeagerlyrespondingasregulatoryrequirementsevolve.13

FIGURE3

Executivesrecognize

thattheirAIgovernancecapabilitiesarenotuptotheemerginggenerativeAIchallenge.

65%

26%

March2024July2024

PercentagesrepresentexecutiveswhoagreedorstronglyagreedthattheywillforegothebenefitsofSAP-specificgenAIbecauseofethicsconcern.

Parttwo

12

SettinggenAIinmotion

Investinthesweetspots

OrganizationsarebettingongenAItounleashtheimmense,transformational

potentialoftheirSAPsystems.Theyareconsideringatreasuretroveofchoicesfor

SAP-specificgenerativeAIusecasesacrossbusinessareas—fromcustomerservice

tofinancetoHRtomarketing—andarenarrowingthelistbasedonfeasibilityandvalue(seeFigure4).

ExecutivessaygenAIusecaseswiththehighestvaluefallinareaswiththelargest

employeepopulations,suchascustomerservice(53%),supplychain(51%),andsales

andmarketing(47%).Similarly,theyconsiderusecasesinthesesamebusinessfunctionstobethemostfeasible.

GenAIcanhavesignificantimpactonproductivityintheseareas.Forexample,

anAI-poweredassistantforautomotivewarrantyclaimscanacceleratethewarrantyprocessforbothconsumersanddealersbypre-fillingformsandschedulingthe

inspectionsatthenearestdealership.Likewise,embeddinggenAIintosupplychainplanningtoolscanequipemployeeswithapersonalassistantthatanswersqueries

bypullingdatafromtheSAPplatformandothersources,expeditingdecision-making.

Insalesandmarketing,genAIcanstreamlinecreationofpersonalizedcommunicationsandothercontent.

13

FIGURE4

Organizationsare

evaluatingSAPgenAIusecasesbasedon

feasibilityandvalue.

90

80

70

60

50

40

30

20

10

High

Customerservice

Supplychain

sibility

Sales&marketing

Risk&compliance

Finance

Procurement

Humanresources

Fea

Low

Manufacturing

Va

lueHigh

102030405060708090

Q.EvaluatethevalueofthegenerativeAIusecaseinthefunction.Evaluatethefeasibilityofthe

generativeAIusecaseinthefunction.Percentagesrepresentthosewhoansweredhighorveryhigh.

Amongthesehigh-value,high-feasibilityareas,

organizationsreportmakingthemostprogressin

marketing,where18%areeitheroperationalizing

oroptimizingtheirAIusecases.Aslightlysmaller

cohortreportsgainsinresearchandinnovation(16%)andinformationtechnology(16%),wheregenAIcouldbehelpingemployeesconvertdatatodesignsmore

quicklyoracceleratingsoftwaredevelopment(seePerspective,“Acceleratingappdevelopment”).

Overthenextthreeyears,executivessaythey

plantoexpandAIusecasesintophysicaldomainssuchasmanufacturing.Forinstance,industrial

manufacturerscancombinetheirvastdataandSAPdigitalmanufacturinganalyticswithmachineand

equipmentmodelinginanAI-augmenteddata

retrievalapproachtodetectmaintenanceissuesandretrieveresolutionrecommendationsfaster(seePerspective,“Improvingmilitary-equipmentreadiness”).Organizationscouldalsooptimize

productionandinventoryorgeneratedemandforecasting.

Organizationsreport

makingthemostprogresswithSAP-specificgenAIusecasesinmarketing.

14

Perspectives

Acceleratingappdevelopment14

Writingcodeishardandrequiresadvanced

learning.Evenexperienceddevelopersregularly

needtoconsultdocumentation,slowingdownthedevelopmentprocess.WithgenAI,developers

cancreateapplicationsbysimplyprovidingtextual

descriptions.ThroughAI-poweredcodegeneration,testscriptcreation,andthelike,application

developmenteffortcanbereducedby30%,

enablingdeveloperstoconcentrateonthemoreintricateaspectsoftheirtasks.

Improving

military-equipmentreadiness15

Militaryequipmentfailurescancosttimeand

evenlives.GenerativeAIcombinedwithadefenseorganization’sSAPdatacanelevatepredictive

maintenancecapabilitiestoenhancereadinessandefficiencyofassetsandequipment.

SAPmasterdatacanbeleveragedtoprovide

areal-timeviewofindividualequipmenthealth

andtheoperationalreadinessofassetsdown

tothecomponent-partlevel.GenAIcananalyze

thousandsofmaintenance-relateddocuments

topredictwhichassetsarelikelytoneedrepair

orreplacements—fromthesmallestpiecesof

equipmenttofleetsofplanes,vehicles,andships.MaintenanceandprocurementplanningprocessescanbeautomaticallyinitiatedinSAPsystemsto

acceleraterepairandminimizedowntime.

Currentclientsanticipatethatthesecapabilitiescanimprovethereadinessofsomemilitary

equipmentbyupto25%.

15

Frombettoboom

WhilegenAIsolutionsarestillintheearlydaysofimplementation,theuseofSAP

systemsisalreadyboostingoperatingmargins(seeFigure5).Wedevelopedanindexthatassessesthestrengthoforganizations’SAP-specificgenAIbusinessand

technicalcapabilities,includingtheirAIstrategyandvision,dataandtechnology,

talentandskills,engineeringandoperations,operatingmodel,andorganization.

Wefoundthemostmatureorganizationsexperienceanaverageof20%profitmarginscomparedtoanaverageof16%fortheirpeers.Weprojectthatpatternwillcontinue

through2026withanaverageof23%profitmarginformorematureorganizations

versusanaverageof19%fortherest.(Weobservedasimilardifferenceinprofit

marginsinthepre-generative-AIdays,whichsuggeststhatearlyAIgainshavebeenusedtofuelgenerativeAIinvestments.)

TheresultsonROIaremorenuanced.Executivesreport6.8%ROIonSAP-specific

genAIinitiatives.Ourdatashowsanaverageof48%oforganizationsaretestingusecasesacross11businessareas.GiventhecostandcomplexityofgenAIsolutions,

organizationsshouldrefinetheirinvestmentsandtakeamorestrategicapproachthatintegratesgenerativeAIintotheirSAPplatformacrossfunctionalareasratherthan

limitingittosmall,siloedareas.OrganizationsprojectmakinggenAIanintegralpartoftheiroperationsandexpecttonearlydoubletheirROIto12.2%fromgenerativeAIinvestmentsin2025.

WhileenterprisesmaybetemptedtotrytocustomizeeachfacetoftheirgenerativeAIsolutions,theyalsounderstandtheinherentadvantagesassociatedwithamore

homogeneousapproach.SAPandIBMhavedeeplyembeddedAIandgenerativeAIintobusinessprocesses,enterpriseanalytics,anddevelopmentoffutureAI-enabledsolutionsacrosstheSAPplatform.CollectivelythesesolutionsenableSAPusers

tointeractwithenterprisesystemsinmorenaturalways,askingquestionsof

andinteractingwithenterprisedatatoimprovetheirproductivity.Thegenerative

AIHubinSAPAICoreallowsAIsolutionstobedeveloped,deployed,andmanaged

inastandardized,scalablewaywithfulllifecyclemanagement,allowingorganizationstoconfidentlymakedata-drivendecisions.

OrganizationsmakinggenAIanintegralpartoftheiroperationscouldexpecttonearlydoubletheirROI

fromallgenerativeAIinvestmentsin2025.

FIGURE5

MoreadvancedSAP-specificgenerativeAI

capabilitiestranslatetogreaterprofitability.

AllothersThosewiththemostmatureSAP-speci?cgenerativeAIcapabilities

Averageannualoperatingmargins

202220232024

23%

20%

19%

16%

16%

12%

AverageannualoperatingmarginsbasedonIBMIBVanalysisoforganizations’maturityinSAP-specificgenAI.

16

17

Two-thirdsofexecutivessaydataintheirSAPsystemsshouldserveasthestartingpointformost

genAIendeavors.

18

Actionguide

SAPsystemsareanincrediblyvaluabletoolfor

bringinggenerativeAIinitiativestolife.Two-thirds

ofexecutivessaydataprocessedbyandcontained

intheirSAPsystemsshouldserveasthestarting

pointformostgenAIendeavors,and56%report

theirorganizationbegantheirgenAIjourneywithSAPdata.HowdoyouoptimizegenAIinvestmentsand

outcomes?Byputtingtheproperbaseinplaceandstrategicallyinvestinginanintegratedapproach.

Herearethreepriorities—focusedondata,talent,andstrategy—thatcanputthosegoalsintoaction.

Planlikeaseasoned

ChiefDataOfficer(CDO)

EmbracethatSAP-specificgenAIsuccessdemandstrusteddataatscaleacrossalldepartmentsandSAPfunctionalareas.

–AudityourSAPdatalandscape.Identifythedataavailable,itsquality,andaccessibility.

–EvaluatewhetheryourexistinginfrastructurecansupportgenAIinitiatives.Intentionallydesigna

cloudarchitecturethatsupportsgenAIinnovation.

–ExamineyourcybersecuritycapabilitiestoseeiftheyarestrongenoughtoprotectyourgenAI

applications,data,andmodels.

–IntegrateandharmonizeSAPdataacross

enterprisesilostoensurethatSAP-specificgenAIsolutionsareenabledbytherealsourcesof

enterprisetruth.

19

Actionguide

Prioritizelikeaneffective

ChiefExecutiveOfficer(CEO)

AcceptthatnewandemergingSAP-specificgenAI

toolswillenablenew,andasyet,unknownenterprisesolutions.

–Identifybusinessproblemsthatcanbesolved

withgenAIsolutionstodayandintotheunknownfuture.Clearlydefineexpectedoutcomesineachareaovertime.

–AlignavailableSAPdatatothebusiness

problemsanddefinethemostfeasibleandvaluableusecases.

–EncourageandrewardSAP-specificgenAI

experimentationtoincreaseenterpriselearninganddrivenear-termwins.

–Empowerfunctionalowners,processteams,

andindividualemployeestouseSAP-specificgenAIoutputsasinputstobusinessoutcomestheywillcontinuetoown.

Personalizelikeanastute

ChiefHumanResourcesOfficer(CHRO)

Embodyinyourorganizationthenotionthatonlytrustintheenterprise—itsmission,itsdata,itspeople—willenablefuturesuccess.

–EstablishorupdateyourAIgovernanceframework.Outlineethicalconsiderations,dataprivacy

practices,andaccountabilitymechanisms.

–Offertrainingorworkshopstoallemployeeson

basicAIconcepts,dataliteracy,andresponsibleAIpractices.

–MapgenAIskillsetstoroles.Sharetheroleswith

employeesanddeveloptrainingplanstohelpthemdevelopintheircurrentjobsormoveintonew

positions.

–Fosteranexperiment-friendlyculturethatequallycelebratessuccess—andfailuresthatleadtofuturesuccess.Enco