生成式人工智能市場現(xiàn)狀（英文版）

StateoftheGenerativeAIMarket

September2024

1SG

Introduction

StateoftheMarket

GenAIImplementationRoadmap

DifferentiationinaWorldofGenAI

2024StateoftheGenerativeAIMarket|2

TableofContents

17BuyingfortheEnterprise

17

BuyingAIImplementationServices

19

KeyConsiderationswhenBuyingAIToolsorPlatforms

21DataMatters

21

DataPlatformstoSupportGenAI

23

DataGovernanceandDataEngineering

25NavigatingToughTerrain

25RisksofGenAIfortheEnterprise

26AICompliance:AGlobalPerspective

27NewFrontiersofAIGovernance

29EthicalApproachestoGenAI

30DifferentiationinaWorldofGenAI

3Introduction

4StateoftheMarket

5MarketAdoptionbytheNumbers

6KeyUseCases:TodayandTomorrow

8What’sNext

9ThePilot-to-ProductionDilemma

10TransformingSoftwareDevelopment

11

GenAIImplementationRoadmap

12ImpactsonBothBusinessandIT

13

GenAIfortheBusiness

32KeyContributors

14

GenAIforIT–AILandingZones

16

GenAIforIT–AIOps

?2024InformationServicesGroup,Inc.AllRightsReserved.

1SG

Introduction

StateoftheMarket

GenAIImplementationRoadmap

DifferentiationinaWorldofGenAI

Introduction

IthasbeenalmosttwoyearssincegenerativeAI(GenAI)

emergedwithforceontothetechnologylandscape,andtwothingsarenowclear.First,GenAIwillsignificantlyimpact

andtransformeveryindustry—itisjustamatteroftime.

Second,wearestillintheearlystagesofadoptionandtherearesignificantchallengestoharnessingthepowerofGenAIduringthistransition.Whilethereisclearlyanabundanceofhype,itisalsoclearthatthistrulywilldrivedramaticchange,presentingopportunitiesandrisksforeveryenterprise.In

manyways,itissimilartothelate1990swhentheinternetwasyoungandtherewasmuchweedingoutandgrowingneeded.This2024StateoftheGenAIMarketreportwill

guideyouandyourenterpriseonthekeythemesand

developmentsthatareshapingthelandscape,highlightingboththesuccessesandtheobstaclesforsuccessfully

navigatingthiscrucialnewtechnology.

OneofthemostnotabletrendsintheGenAImarketis

theincreasingsophisticationandaccessibilityofGenAI

models.Whileadvancementsindeeplearningalgorithmsandcomputationalresourceshaveenabledthesemodelstobetterunderstandandgeneratecomplexcontent

acrossvariousdomains,therealityisthatleveragingthesecapabilitieseffectivelyisfarfromstraightforward.

Fromnaturallanguageprocessingandimagesynthesistoautomatedcodegeneration,enterprisesfacechallengesinintegratingGenAIsolutionsintotheirexistingworkflows,ensuringdataqualityandmanagingthecostsassociatedwiththesetechnologies.

Tohelpaddressthecostissue,morethanhalfofthe

softwareprovidersevaluatedinourGenAIBuyersGuide

haveimplementedsomeformofcostcontrolandmosthaveinformedusoffurtherplansinthisarea.

TherapidadoptionofGenAIalsobringsothernew

challengestotheforefront.Itisprovingverydifficultfor

enterprisestohireordeveloptheAIskillstheyneedamongtheirteams.Concernssuchasdataprivacy,algorithmic

fairnessandthepotentialformisusehavebecomemore

prominent,promptingtheneedforrobustgovernance

frameworksandexplicitethicalguidelines.Manyenterprisesfindthemselvesill-equippedtonavigatethesecomplexities,riskingunintendedconsequencesandnegativeimpacts.Byacknowledgingandaddressingthesechallenges,enterprisescanmakemoreinformeddecisionsanddrivemeaningful

progressinanevolvinglandscape.

?2024InformationServicesGroup,Inc.AllRightsReserved.

2024StateoftheGenerativeAIMarket|3

ItisimperativeforbusinessestoapproachGenAIprojectswitharealisticunderstandingofthepotentialpitfalls,investinginthe

necessaryexpertiseandinfrastructuretorealizeitsbenefitsresponsibly.

Bringyourquestionstothetableasyousitdownwiththisreport.What’sactuallyhappeningouttherewithGenAI—

beyondthehype?Whattypesofusecasesarehavingan

impact?Shouldwebuildorbuy?Whatkeyriskisinourblindspot?Andifeveryonekeepspacewithadoptionanyway,isitevenpossibletoachievedifferentiation?

ThisreportisdesignedtobeakeyresourceasyounavigateyourAIplanningandevaluationoverthenextsixmonths.

Readitstraightthroughorjumptothesectionyoucare

mostabout.Haveanunansweredquestion?Wanttovalidate

yournextsteps?

Dropusalineandlet’stalk.

Introduction

StateoftheMarket

GenAIImplementationRoadmap

DifferentiationinaWorldofGenAI

2024StateoftheGenerativeAIMarket|4

StateoftheMarket

?2024InformationServicesGroup,Inc.AllRightsReserved.

1SG

Introduction

StateoftheMarket

GenAIImplementationRoadmap

DifferentiationinaWorldofGenAI

2024StateoftheGenerativeAIMarket|5

MarketAdoptionbytheNumbers

SpendingonGenAIinitiatives

willincreaseby

50%

in2025comparedwith2024.

4.3%

of2024ITspendingisonGenAI,andenterprisesexpectthattogrowto

6.5%

bytheendof2025.

DataSource:ISG2024MarketLens??GenAIUseCaseStudy

EnterprisesexpecttocaptureasignificantshareoftheanticipatedROIfromtheircurrentGenAIinitiativesin2025.Howdoyoucompare?

ExpectedROICapture

2024Firsthalfof2025Secondhalfof202520262027orlater

Efficiency·

Innovation·

CustomerService·

CostSavings·

BusinessGrowth·

ExpectROI

tofallshortof

expectations

23%

27%

22%

22%

27%

26%

22%

21%

29%

25%

31%

10%

10%

18%

17%

17%

17%

14%

27%

31%

17%

16%

3%

3%

7%

7%

1%

1%

4%

5%

?2024InformationServicesGroup,Inc.AllRightsReserved.

1SG

Introduction

StateoftheMarket

KeyUseCases:Todayand

Tomorrow

OurISGGenAIUseCaseStudy,conductedin

August2024,focusedonwhichusecasesglobal2000companieshaveinvestedintodate,andwhichhavereceivedthemostfunding.While

GenAIusecasesspanabroadrangeofbusinessdomains,threeofthetopfivemostwell-fundedareasarefocusedoncontactcenter,efficiencygainsandcontentgeneration.

Theusecasesgettingthemostfundingtodayareaimedatefficiencyandprofitability,notrevenue.AndAItoolscontinuetobeprimarilydeployedinprocessesthathavea“humanintheloop”(HITL)tointermediateandvalidatetheoutputbeforeitisdeliveredtocustomers.

DataSource:ISG2024MarketLens??GenAIUseCaseStudy

?2024InformationServicesGroup,Inc.AllRightsReserved.

GenAIImplementationRoadmap

DifferentiationinaWorldofGenAI

2024StateoftheGenerativeAIMarket|6

MostcommonusecaseHighestinvestmentusecase

GenAIUseCasesin2024

53%

Customerservicechatbots

43%

AutomatedITtesting

41%

41%

Audio/visualcontentgeneration

Customerservicesupport

35%

HRsupport

33%

Customercommunications

32%

Businessprocesswork?owmanagement

31%

Documentationcreation

30%

30%

ITsecurity

Marketingtext/graphicgeneration

29%

29%

29%

Billingandinvoicing

Marketingresearch/customerinsights

Marketingcontentmanagement

28%

Frauddetection

27%

Softwarecodegeneration/translation

26%

Contactcentermanagement/monitoring

1SG

Introduction

StateoftheMarket

GenAIImplementationRoadmap

Thepracticaloutcomesofcurrentinvestmentsareimprovedquality(e.g.,betterresponsestocustomerinquiries,betterprocessmanagement)and,tosome

extent,increasedefficiency(reducedresponsetimes,fasterresolutions).Butaslongastheusecasesservetoaugmenthumans,thehuman’sabilitytooperatetheprocesswillultimatelybethelimitingfactorforhowdramaticallytheAI

toolsandprocessescanscale.

ThisfocusonqualityimprovementsandHITLprocessesrevealsthat

enterprisesaretakingafairlysafe,liability-limitingapproachtoGenAI,for

now.Intheseusecases,AIresultsarereviewedbeforetheyaretrustedwith

thegoalofimprovingthequalityofoutputovertime.GiventheconcernsaboutAIhallucinationsandunclearIPrestrictionsrelatedtomanylargeAItraining

sets,thisconservativeapproachisreasonablefornear-termusecases.

12%

Innovation

32%

Efficiency

GenAI

InitiativePrimary

Motivation

17%

CustomerService

21%

BusinessGrowth

18%

CostSavings

DataSource:ISG2024MarketLens??AIStudy

?2024InformationServicesGroup,Inc.AllRightsReserved.

DifferentiationinaWorldofGenAI

2024StateoftheGenerativeAIMarket|7

AsGenAIcapabilitiesandusecasesprogress,twoneedscometothefrontforenterprisesandtheirGenAIinitiatives:

1.TheabilitytooperateGenAIwithouttheconstraintsofHITL

processes,soenterprisescanbeginachievingreturnsthatscaleinanon-linearway.

2.Aprogressionfrominvestmentsthatfocusonqualityand

efficiencyimprovementstowardinvestmentsthatfocusongrowthandnewproducts.

Atthispoint,weexpectenterpriseswillcontinuetodiversifyGenAIusageacrossHITLusecasesandembraceAI-drivenservicesthatincorporateefficiencyimprovements.

Overthelongerterm,enterpriseswillneedtoobservefurthertechnicalprogressandgainforthemselvesabetterunderstandingof

associatedrisksbeforetheybegintryingusecaseswithgreaterscaleandROI.

1SG

Introduction

StateoftheMarket

What’sNext?

Giventhatpastresearchhashighlighted

theimportanceofrevenuegrowthasatop

enterpriseobjectivefortheadoptionofAI,

higher-valueusecasesinthefuturewillbe

thosethatdonotinvolveHITLprocesssothatenterprisescanachievemoredramaticscaling.WepredicttwowavesofAIadoption:

1

Wave1:Themajorusecasesfrom2024willstilldrivesignificantvaluein2025.

TheseareHTILprocessesrelatedtothecontactcenterandcustomerexperience,whereGenAIprovidesinputinreal-timetodrivefasterresolutionsandmore

accuratesolutions.GenAIisstilllimitedbythecapacityofthecontactcenterorcustomerserviceagent.

2

Wave2:Emergingusecasesin2025willprimarilyfocusonaugmentingexpertise.Supportingcompliance,forecasting,

marketresearch,supplychainplanningandsoftwaredevelopmentareall

domainsinwhichhumanexpertise—ratherthanhumantime—canbethelimitingfactors.

?2024InformationServicesGroup,Inc.AllRightsReserved.

GenAIImplementationRoadmap

DifferentiationinaWorldofGenAI

2024StateoftheGenerativeAIMarket|8

HighestAnticipatedGenAIUseCasesfor2025

Emergingusecasefor2025

Topusecasein2024

28%

Customerservicechatbots

21%

Businessprocesswork?owmanagement

19%

Customerservicesupport

18%

Marketingresearch/customerinsights

18%

Customercommunications

18%

Softwarecodegeneration/translation

17%

Planning,budgetingandforecasting

16%

Supplychainoptimization

16%

Regulatorydocumentation/compliance

15%

Contactcentermanagement/monitoring

DataSource:ISG2024MarketLens??GenAIUseCaseStudy

1SG

Introduction

StateoftheMarket

GenAIImplementationRoadmap

DifferentiationinaWorldofGenAI

2024StateoftheGenerativeAIMarket|9

ThePilot-to-ProductionDilemma

ScalingGenAIfrompilotprojectstofull-scaleproduction

deploymentsremainsfraughtforenterprises.Presently,

neitherenterprisesnorsoftwareorserviceprovidershaveestablishedarepeatableandreliablepathfrominitialpilotusecasestolarge-scale,production-readyworkloads.Theresultinglackofmarketevidenceofsuccessfuloutcomes

meansthatenterprisesremainhesitanttoinvestatthe

levelslikelyneededtogeneratethoseoutcomesinthefirstplace.Consequently,wedonotyetseetheamountofvaluecreationneededtodriveamarketchainreaction.

Enterprisesexpressastrongdesiretouseandbenefit

fromAI,buttheywantsignificant,large-scalewinsratherthannumerousminorvictories.Despitepromisingresultsfrompilotprojects,thesizeoftheseeffortsoftenremainsmarginalrelativetoenterprisegoals.Insteadofsuccessfulnoveltyprojects,enterprisesarekeentoidentifyaclearpaththatleadstosubstantialmaterialgains.

TherealityisthattraditionalITorganizationsarenotalwaysalignedwiththenext-generationopportunitiesthatAIcanpresent.TheaverageITorganizationtendstowardbeing

atechnology“fastfollower,”andtypicallyrealizesnew

?2024InformationServicesGroup,Inc.AllRightsReserved.

capabilitiesroughlyonpacewiththemarketasawhole.Doesthatdescribehowyourenterpriseoperates?

Thissuggeststhatwhilewaitingandwatchingfor

evidenceofdramaticoutcomes,enterpriseswilldowelltostrategicallypartnerwithsoftwareandserviceproviders

thatcandemonstratesolidwinsagainstspecific,well-

definedbusinessgoals.Partneringcanreducetheriskofwastinginternaleffortonunsuccessfulprojects,provideaccesstoexpertisethatimprovesthelikelihoodofpositiveoutcomesandallowenterprisestoharnesscutting-edgetools,frameworksandtechnologiesthatmaynotbe

availableinhouse.

CurrentStatusofGenAIInitiatives

8%

Evaluationoftools/providers

7%

Notlive,

testingphase

43%

Livepilot/trialwithoneormoredepartments

27%

Movingtowardsfullproduction

15%

Fullyinproduction

DataSource:ISG2024MarketLens??GenAIUseCaseStudy

1SG

Introduction

StateoftheMarket

GenAIImplementationRoadmap

DifferentiationinaWorldofGenAI

2024StateoftheGenerativeAIMarket|10

TransformingSoftwareDevelopment

Thefastestrisingusecaseoutsideofcustomerserviceverywellmaybethekillerappenterpriseshavebeenlookingfor:GenAIinsoftwaredevelopment.

ITdepartmentsarebeginningtoharnessthepowerofGenAItostreamlineoperations,enhanceinnovationandoptimizeworkflowswithinITinfrastructure.Asaresult,software

developmentisemergingasaleadingapplicationforGenAI,drivingsubstantialbenefitsandrevolutionizingthewayIT

departmentsoperate.70%ofourrespondentsreportusingChatGPTforsoftwaredevelopmentactivities,with33%usingGitHubCoPilot.

IntegratingGenAIintothesoftwaredevelopmentprocess

cansignificantlyenhanceproductivity,efficiencyandquality.

AI-drivenanalyticsstreamlinestakeholderinterviewsand

requirementsgathering,whileautomatedtoolsimprovesystemarchitecturesandthedesignofuserinterfaces.AIassistants

supportcodegenerationandbugfixing,reducingmanualeffortsandimprovingoverallcodequality.AIcangenerateandexecutesoftwaretestcasesandimproveregressiontesting.Additionally,AItoolsoptimizethedeploymentprocessesandproactively

managesystemmaintenance,reducingerrorsanddowntime.

Overall,GenAIdeliverssubstantialproductivitygains,estimatedat

30–42%,byautomatingpredictiveinsights,facilitatingrobustand

andsecurity.

7%

4%4%

2%

PlanningandDesignCodingTestingDeploymentMaintenance

Requirements

error-resistantcodingpractices,andenhancingsoftwarequality

%ImprovementwithIntroductionofGenAI

3%

3%

.

18%

●

.

31%

.

7%

25%

27%

11%

3

4

Comprehensivetesting

Continuous

improvement

Automatedand

AI-driventesting

coversawiderrangeofscenariosandusecases,ensuringmorethoroughvalidationofsoftware

beforedeployment.

AIsystemslearn

frompastdata

andcontinuously

optimizeprocesses,leadingtoongoing

improvementsin

qualityandefficiency.

KeybenefitsyoushouldberealizingwithGenAIinthesoftwaredevelopmentprocess

1

Earlydetectionofissues

AI-drivencodereviewsandtestingidentify

potentialissuesearlyinthedevelopmentcycle,preventingdefects

fromprogressingtolaterstages.

2

Consistentapplicationofbestpractices

AItoolsenforcecodingstandardsandbest

practices,ensuring

consistencyand

reducingthelikelihoodoferrors.

DataSource:ISG2024MarketLens??GenAIUseCaseStudy;ISG2024GenAISoftwareDevelopmentStudy

?2024InformationServicesGroup,Inc.AllRightsReserved.

SG

IntroductionStateoftheMarket

2024StateoftheGenerativeAIMarket|11

GenAIImplementationRoadmapDifferentiationinaWorldofGenAI

GenAIImplementationRoadmap

?2024InformationServicesGroup,Inc.AllRightsReserved.

HowisGenAImoneybeingspent?

36%

Applications/software

(incl.softwareasaservice)

21%

Infrastructure

(e.g.,storageandcompute)

25%

Personnel

(incl.contractorsandstaffaugmentation)

18%

Outsourced

(managedservices)

?2024InformationServicesGroup,Inc.AllRightsReserved.

1SG

Introduction

StateoftheMarket

GenAIImplementationRoadmap

DifferentiationinaWorldofGenAI

2024StateoftheGenerativeAIMarket|12

ImpactsonBothBusinessandIT

WhereisGenAImakinganimpact?

IT

Facilities

16%

65%

HR/recruitment

Customerservice/contactcenter

28%

59%

Production/manufacturing/engineering

31%

Product/servicedevelopment

GenAIImpactedFunctions

54%

Finance/

31%

accounting

Sales/businessdevelopment

Procurement/

53%

36%

purchasing

44%

48%

Sharedservices/operations

45%

Marketing/PR/media

Compliance/legal/riskmanagement

DataSource:ISG2024MarketLens??GenAIUseCaseStudy

1SG

Introduction

StateoftheMarket

GenAIImplementationRoadmap

DifferentiationinaWorldofGenAI

GenAIfortheBusiness

BusinesssoftwarevendorsacrossvarioussectorsarerapidlyenhancingtheircorefunctionalitybyincorporatingGenAI

features.Whilesomecapabilitiesarealreadyavailable,

productroadmapsindicateasignificantaccelerationin

theintegrationofGenAIoverthenext18months.CertainGenAIfunctionalitieswillbeofferedatnoadditionalcharge,butotherswillrequireextrainvestment,enablingproductproviderstocreateandmaintainAI-enabledapplicationsasconsumableoptionsforcustomers.

Wemeasurethatenterprisesarewilling

tospend6%–9%moreonaper-userbasis

forAIfunctionalityacrossawiderangeofbusinessapplications.

Theseadvancementsaddressthepressingissues

enterprisesfaceinformingtheirAIstrategies.ByleveragingAIandGenAI,softwaredevelopersaimtoempoweruserstoworkfaster,smarter,moreeconomicallyandwithgreatersafety.AI-enabledapplicationsspecificallytargetenterprise

challenges,suchasalackofAIexpertiseandtheneedforacohesive,company-widevisionforAIimplementation.

TheadvantagesofAIcanbetailoredtodomain-specific

needs.Forinstance,incustomerexperience(CX),AI

enhancescustomerinsightsatscale,transformsself-

servicechatbotsandaugmentstheagents’abilitytoservecustomersinrealtime.Infinanceandaccounting,AI

improvesprocesses,suchaspredictiveanalytics-driven

forecasting,errordetectionandtheever-importantmonth-endclosecycle.Meanwhile,humancapitalmanagement

(HCM)benefitsfromAIthroughenhancedemployeeself-service,onboarding,andskillsassessments.Inrevenue

management,AIelevatesforecasting,real-timemonitoring,planningandoptimization.

DuringGenAIinvestmentplanning,enterprisesmust

notoverlookthedevelopmentroadmapsoftheirthird-

partyvendors.Ignoringtheplansofthesevendorscan

meanredundantinvestmentandinefficientallocationof

resources.Afteraccountingforvendorplans,enterprisescanthendeveloptheirowndynamicAIstrategiesthat

clearlydelineateareasdesignatedforinternaldevelopmentversusthosethatwillusethird-partyapplicationsor

serviceproviders.

DataSource:ISG2024MarketLens??GenAIUseCaseStudy;ISG2024MarketLens??AIStudy

?2024InformationServicesGroup,Inc.AllRightsReserved.

2024StateoftheGenerativeAIMarket|13

Onaverage,enterpriseshaveimplemented

151

GenAI-enabledapplications.And,theyestimateitwill

increaseto

356

GenAIapplicationsbytheendof2025.

1SG

Introduction

StateoftheMarket

GenAIImplementationRoadmap

DifferentiationinaWorldofGenAI

GenAIforIT–AILandingZones

ManyenterpriseslookingtoadoptAIatscalestruggletounderstandtheinfrastructurerequiredtopowertheirownAIusecasesthatwilldrivethemajorityofAIvalue.The

globalsupplyofcomputeisnowtryingtokeepupwiththedemandofAI.WhileGPUsandthepublicclouddominatethemarkettorunAIworkloads,neitherwerenatively

builttorunthemwiththeappropriateperformanceandcostconsiderations.

EnterprisesshouldexploreseveralkeyconsiderationsforwhereandhowtohosttheirAIworkloads.

WheretoHostAI:On-premvs.PublicCloud

Thepubliccloud(i.e.,AWS,Azure,GoogleCloud,etc.)hasbeenthedefactolandingzoneforAIworkloadsover

thelasttwoyears,andwhilemostenterpriseslookingtoexpandtheirAIcapabilitieswillcontinuetoincreasetheircloudfootprint,manyarelookingatalternativestothepubliccloud.

28%

ofenterprises

expecttotrain

theirLLMsin

privatecloudsor

on-prem

21%

ofenterprises

expectto

purchaseGPUs

foron-premiseAI

development

Publiccloudprovidershavespentbillionsincapital

investmentsinanticipationofmassiveAIadoption,and

theeaseofaccesshasmadeprovisioningthisAI-ready

infrastructureinthepubliccloudtheeasychoiceforproofofconcepts(POCs).Morerecently,privatecloudprovidersandnicheAIcloudprovidersareenteringthemarketto

provideenterprisesmoreoptionsforadditionalsecurityorperformance.

DataSource:ISG2024MarketLens??AIStudy

?2024InformationServicesGroup,Inc.AllRightsReserved.

2024StateoftheGenerativeAIMarket|14

AI-ReadyInfrastructureComponents

WhethertheAI-readyinfrastructureisdeployedina

publiccloud,on-premiseorelsewhere,enterprises

faceadditionalconsiderationsfortheirAIdeployments,whicharedescribedtotheright.

Choosewhatisbestforyourenterprise

Ultimately,enterprisesmustmaketheirinfrastructuredecisionsbasedontheirownrequirementsfor

performance,availability,budget,fungibility,

integrationandsecurity.Theserequirements,and

theunderlyinginfrastructure,mayvarywidely

basedontheselectedusecaseandthestageofAI

development,suchastrainingversusinference.In

2024,enterpriseshavemanychoicesandevenmoreconsiderationsfordeployingtheirAIworkloadsontheappropriateinfrastructure.

EnterprisesshouldallowtheirusecasestoguidetheirAIinfrastructureinvestments,understandingthat

infrastructuremodernizationisadeliberatejourneyratherthanaproblemthatdemandsimmediate

resolution.AIinfrastructureisadvancingatarate

rarelyseeninhardwaremarkets,soenterprisesmustevaluatetheirinvestmentsbasedonthepoint-in-timecapabilitiesandpriceoftheinfrastructureagainstthevalueitwilldeliver.

1SG

Introduction

StateoftheMarket

GenAIImplementationRoadmap

DifferentiationinaWorldofGenAI

2024StateoftheGenerativeAIMarket|15

Compute

AIaccelerators,orspecializedhardwareforimprovedAI/MLprocessing,arecriticaltoeffectivelytrainandrunAIworkloads.GPUscontinuetodominateAIacceleratordiscussionsduetotheinherentsuperiorityofparallelprocessingoverCPU-basedserialcomputingforhandlingAI.However,newentrantsintothesiliconmarketlikeCerebras,Groqandbignameslike

Google,MicrosoftandApplearebuildingperformantAIcomputingforspecificusecasesliketraining,inferenceorend-usercomputingplatforms.AIacceleratorsareincrediblyexpensiveandmaybecost-prohibitiveformanyenterprisesatscale.

Storage

AIexcelsatmanaginglargenumbersofparametersandlarger,morevariedstructuredandunstructureddatasets.

Enterprisesmustleveragehighlyscalable,performant,availableandresilientstoragesolutionstoload,storeandaccesstherequireddataandmodels.Thesesolutionsmustbeveryusabletofindandorganizethedatastoredwithinthem.

Enterprisesareincreasinglylookingtowardsoftware-definedobjectstoragesolutionsfortheirAIstorageinfrastructureovertraditionalNASorSANsolutions.

Network

ThedistributednatureofAItrainingacrossthousandsofnodesresultsinasignificantportionoftheAItrainingtimespentinthenetwork.TrainingAIworkloadsefficientlyrequiresveryhigh-bandwidthnetworks(100Gbps+)thatcanperformattherequiredthroughputandlatency.Enterprisesmustensurethattheirdatacentershavetheappropriatenetworking

setuptomanagethetrafficrequiredfortraining.

Facilities

Theseinfrastructurecomponentsmustresidewithinafacilitythatiscapableofhandlingtheadditionalenergyandcooling

requirementsofAIworkloads.TrainingandrunningAIworkloadsdemandstremendousamountsofenergy,andthechipsrequiresubstantialcooling.Manyenterprisesarelookingtoliquidsolutionssuchasimmersioncoolingordirect-to-chip

coolingtoaugmenttraditionalmethods.Companieswith“green”initiativesmustbecogniz