2025年科技趋势报告：塑造2025年及未来的五大趋势 tech trends 2025 -5 Trends Shaping 2025 and beyond-Globant

b

5TrendsShaping

Globant>2

ASWELOOK

TOWARDS2025.

thetechnologicallandscapeisonthebrinkoftransformativeadvancementsthatwill

fundamentallyreshapeourworld.

Whileflashypredictionsoftenstealthespotlightandcandistractusfromwhat’strulyunfolding,weaimtoclarifythe

pathahead.

Thisreportdelvesintothepivotaltrendsthatwillredefineourinteractionswithtechnologyandeachother.Asweapproachthisturningpoint,letusguideyouthroughthefivetrendssettorevolutionizeindustriesandeveryday

life,ensuringyouarepreparedfortheunprecedentedchangesonthehorizon.

01

SpeedingUptheFutureBeyondtheBinary

Globant3

Globant4

Future-ProofingwithQuantum:

Technology’sNextBigLeap

Getreadyforatechrevolution!Quantumcomputingandquantumnetworksareabouttochangeeverythingweknowaboutdataanddigitalinnovation.

Startups(

40%

)and

universities(33%)

arepushingtheboundariesofwhat’spossible,alongwithtechgiantssuchasIBMandMicrosoft.

Theglobalquantumcomputing

marketissettoexplodefrom

$412

million

in2020toanincredible

$8.6billionby2027.

Diveintotheexcitingworldofquantumtech,exploringthebreakthroughs,challenges,andkeyplayersdrivingthisgame-changingleapintothefuture.

Globant>5

TechgiantslikeIBMandGoogleareleadingthecharge

What’sNewand

What’sNextinQuantum?

Themagicofquantumcomputinghasalreadybeensimplifiedandexplainedincountlessways:itcomesfromqubitsholdingtwo

statesatonce,breakingthelimitsofclassicallogic.Butwhat’snextinquantumtech?Here’saglimpseintothelatestbreakthroughs:

withgroundbreakingresearchanddevelopment.

IBM’s

Qiskit,

awidelyusedquantumsoftware,hasevolved

fromabasictoolintoapowerfulsoftwarestackthat

enablesmoreefficientquantumexperiments.Meanwhile,Googlehasmadesignificantstrideswith

error-

correctedqubits

,acrucialstepinmakingquantumcomputingpracticalandreliable.

AWSdoesn’tlagbehind.Thecompanylaunched

Amazon

Braket,

aservicethatsimplifiesaccesstoquantum

hardwarebyofferingaunifiedplatformforvarious

quantumtechnologies.WithBraket,youcandesignandtestquantumalgorithms,runthemondifferentquantumcomputersandsimulators,anddevelopproof-of-

conceptapplications—allfromasingleservice.Moreover,companieslike

Pasqal,DWave,

and

Rigetti

have

developedtheirownversionofquantumprocessors.

BreakingNewGround:

IndustryLeadersand

Real-WorldApplications

Thepotentialofquantumcomputingisalreadybeingrealizedinvariousindustries:

Boeing

and

Airbus

areleveragingquantum

computingtooptimizelogisticsandoperations,

addinggreatinnovationtotheaerospaceindustry.

BoeingandIBMQuantum

partneredtotacklethe

trickytaskofdesigningsuper-strongmaterialsfor

airplanes.Theteamfoundacleversolutionbymakingeachquantumbit(qubit)handlemultiplevariablesatonce,boostingefficiency.

Thisbreakthroughallowedthemtosolvethebiggestproblemevertackledbyaquantum

computer,bringingusclosertousingquantumtechinaerospacedesign.

Meanwhile,

ClevelandClinic,

IBM,andtheUK’s HartreeCentrehavejoinedforcestousequantumcomputingtoidentifybiomarkersforpersonalizedepilepsytreatment.Thiscollaborationhighlightsthepotentialofcutting-edgecomputationin

transforminghealthcare.

6

Globant>7

QuantumComputingMeetsAI:

APerfectPairing

Quantumcomputingisn’tjustanewkindofspeed—it’sa

newkindofthinking.

Byharnessingtheprinciplesofquantumentanglementandsuperposition,quantumcomputerscantransformhowweapproachAI,pushingtoday’sinnovationstothenextlevelandbeyond.

Twoquantumalgorithms,in

particular,aregame-changersforAI:

Grover’sAlgorithm:Providesasignificant

speedboostinsearchingdatabases,and

enhancesAI’sabilitytoidentifypatterns.Thisiscrucialinfieldslikehealthcarediagnosticsandfinancialfrauddetection.

QuantumFourierTransform(QFT):Analyzestime-seriesdata,andboostsmachinelearningbyextractingfeaturesfromcomplexdatasets.Thisiskeyinmarkettrendanalysis,weather

forecasting,andspeechrecognition.

Google’sT

ensorFlowQuantum(TFQ)

isaperfect

exampleofthissynergy,addingquantumlayersto

machinelearning.Asquantumcomputingcontinuestoevolve,itsintegrationwithAIwillunlocknew

possibilitiesindataanalysis,patternrecognition,andproblem-solving.

Globant>8

LookingAhead:

SpookyConnectionsWillShapeCommunication

HaveyoueverheardofwhatEinsteincalled“spookyactionata

distance?”It’sthemind-blowingquantumpropertywherequbitsstay

inasharedstate,meaningmeasuringoneinstantlytellsyouthestateoftheother,nomatterhowfaraparttheyare.Thisphenomenoncouldleadtoaquantuminternetpoweredbyquantumcomputing,enablingsecure,ultra-fastglobalcommunication.Significantprogressisbeingmade

whilestillinitsinfancy,pavingthewayforthisrevolutionarytechnology.

02

AgenticAISystems

TransformingtheFutureofIntelligentSystems

Aswelookaheadto2025,

AgenticAISystemsareemergingasatransformativeforceintherealmofartificialintelligence,emphasizing

acollaborativeapproachtoproblem-solving.

WhileLargeLanguageModels(LLMs)operatelikeasolitary

expert,relyingoncontinuousinputandintervention,AgenticAISystemscanemulateasomewhatcollaborative

environmentwheremultiplespecializedagentsworkin

concert.Imagineawriter,researcher,editor,andfact-checkercollaboratingtoproduceahigh-qualityarticle.Eachrolebringsuniqueexpertise,resultinginamorecomprehensiveand

accuratefinalproduct.ThiscollaborativemodelisnowbeingappliedtoAI,leadingtobreakthroughsinhowsystemsaredesigned,operated,anddeveloped.

AccordingtoGartner,by2028,one-third

ofinteractionswithgenerativeAIwill

involveactionmodelsandautonomous

agents,capableofcompletingtaskswithoutconstanthumanintervention.

Thistrendhighlightsthegrowingshifttowardsmoresophisticatedandself-sufficientAIsystems.

Supportingthisevolution,a

recentIDCreportshowsthat

enterprisespendingonAIissettogrow27%year-over-year,

from$166billionin2023toa

staggering$423billionby2027.

ThissurgeininvestmentunderscorestheincreasingrecognitionofAI’spotentialtorevolutionizeindustriesthroughmoreadvancedandintegratedsolutions.Aswemoveforward,theAgenticAISystems

modelpromisestobeattheforefrontofthistransformativejourney.

Globant>10

Globant>11

KeyDifferencesBetween

OtherSolutionsandAgenticAISystems

Intraditionalsoftwaredevelopment,LLMsfunctionlikeasolodeveloper,managingtasksfromrequirementsgatheringtodeploymentthatcanresultinoverlookeddetails,lacklusterdesign,andreactivemaintenance.

Incontrast,thesesystemsmirroramultidisciplinaryteam

approach.Forexample,let’sseehowitcouldbeapplied

throughoutalltheSoftwareDevelopmentLifeCycle(SDLC):

RequirementsGatheringandAnalysis:AgenticAISystemsinvolvesabusinessanalystconsultingstakeholdersandsharingfindingswiththeteam,ensuringathoroughunderstandingofuserneeds.

Design:Collaborativedesignsessionsbringtogethersystemarchitects,developers,andUX/UIdesignerstocreatescalableanduser-friendlyarchitectures.

Implementation:Developersfocusontheirspecialties,withcodeundergoingpeerreviewstoadhereto

standardsandmaintainability.

Testing:QAspecialistsandautomatedtoolsworktogethertodesigntestcases,identifydefects,andensurecompliancewithrequirements.

DeploymentandMaintenance:ADevOpsteamhandlesautomateddeployments,monitorssoftware,and

proactivelyaddressesissues,ensuringarobustandresponsivesystem.

TheRiseof

AgenticAISystems

TheriseofAgenticAISystemssignifiesamajoradvancementinAI,embodying“agency”—theabilitytoactindependentlyandcontrolactionsandprocesses.Unliketraditionalstandalone

systems,whichoftenrequirecontinuoushumanintervention,

AgenticAIsystemsexhibitvaryinglevelsofindependence.

ThesesystemsarecategorizedbyAgencyLevel,indicatingtheirindependenceinmanagingprocesses,fromfullyautonomoustosemi-autonomousorhuman-in-the-loop,basedon

complexityandoversightneeds.

TheInteractivityModalityofAgenticAIdefineshow

systemsengagewiththeirenvironmentandusers—throughtext,speech,visual,orphysicalinteractions.ItsArchitecturalDesigndistinguishessingle-agentarchitectures,suitedforwell-definedtasks,frommulti-agentsystems,whichexcelincollaborative,dynamicenvironments.

12

Globant>13

Singlevs.Multi-

AgenticAISystems

Innovation-Oriented

Lifecycle-Oriented

Task

Task

Task

Ensurelifelongsurvival

Findthebooks

Createanewmedicine

Task-Oriented

LeaderLeader

Equi-levelstructure

Hierarchicalstructure

Nested

structure

Multi-agentarchitecturestendtothrivemorewhencollaboration(e.g.,throughdebateandreflection)andmultipledistinct

executionpathsarerequired.

WhatanAgenticAISystemCanDo

Memory&KnowledgeManagement:Theabilitytostore,

retrieve,andmanageknowledge,suchasmaintaining

contextualmemoryandadaptingthroughuserpreferences.

Communication:Abilitytointeractandcommunicate

effectivelywithusersandothersystems.Thisincludes

handlingdifferentformats,managingconversations,

understandingcontext,andconnectingwithothersystems.

Perception:Theabilitytoperceiveandprocessinputsfromtheenvironmentthroughtextprocessing,speechrecognition,imageandvideoanalysis.

ToolUse:Theabilitytoperformactionsandutilizetoolsandresourcestoaccomplishtasks.E.g.,UsetheUSNational

WeatherServiceAPIforSFOandaFahrenheittoCelsius

convertertochecktheweatherforecastforSFOinCelsius.

Reasoning&Planning:Theabilitytomakedecisions,planactions,andsolveproblemsiteratively(e.g.,logicaland

mathematicalreasoning,probabilisticinference,strategicplanning).

Learning&Adaptability:Theabilitytolearnfromdataandexperiences,andadaptbehavioraccordingly(e.g.,updatingstrategiesbasedonfeedback).

14

Globant>15

AgenticAIvs.

StandaloneLarge

LanguageModels(LLMs)

AgenticAIsystemsarerevolutionizingthefieldbysurpassing

standaloneLargeLanguageModels(LLMs)inseveralcriticalways.UnlikeLLMs,whichofferstaticresponsesbasedoninitialinput,

thistechnologyutilizesiterativefeedbackloopstocontinuously

refineandenhanceresults.Thisdynamicapproachenables

Agentstobreakdowncomplextasksintosubtasks,strategize

execution,andintegratetoolsanddataautonomously,offeringamorerobustsolutionthanthelinearprocessingofLLMs.

AgenticAISystemRefundExample:

TopMedia&Entertainment

Company

Howistheworkflow?

1.

2.

3.

4.

5.

6.

Thecustomerclaimsarefundrelatedtoacurrentpromotion.

TheVirtualAgentasksforthepurchasedetailstovalidateifthepurchasewasindeedmade.

Withthedetails,anAgenticAISystemchecksthesystemtoseeiftheinvoiceexists.Ifitdoes,itmovestothenextAgenticAISystem.

Oncethepurchaseisvalidated,thesecondAgenticAISystemchecksthecommercialpoliciestoseeifthecasequalifiesforarefund.Ifitdoes,itmovestothenextAgenticAISystem.

ThethirdAgenticAISystemissuesthecreditnoteintheoperatingsystemandhandsitovertotheVirtualAgenthandlingthecustomerinteraction.

TheVirtualAgentsendsthecreditnotewiththerefundtothecustomer.

TestingAssistant

Welcometotheproductrefundservice!I’myourvirtualassistant.HowcanIhelpyoutoday?

RefundAgent

NowyouaretalkingwiththeRefundAgent

WhatcanIdoforyou?

IboughtaplushtoyyesterdayandIseeitismarkeddowntoday

I’msorryfortheinconvenience.Couldyoupleaseprovidemewithyour8-digitordernumberandtheemailaddressyouusedforthepurchase?Thiswillhelpmetofetchyourorderdetails.

12345678bob@

Ihavesuccessfullyissuedapriceadjustmentforyour

ordernumber12345678.Youwillreceiveaone-timeuse

promotionalcodeforthepricedifferenceof$2.00.Pleasecheckyouremailforthepromotionalcode.Ifyouhaveanyotherquestionsorneedfurtherassistance,feelfreetoask.

Thanks!

You’rewelcome!Ifyouhaveanyotherquestionsorneedfurtherassistance,feelfreetoask.Enjoyyourday!

Globant>16

17

Fromenhancinguserexperiences

throughpersonalizedandresponsiveinteractionstoreshapingeducationwithadaptivelearningtools,AgenticAIwillimpactnumeroussectors.

TheFutureof

AgenticAISystems

AgenticAISystemsmarksamajorleapinAI,focusingoncollaboration,adaptability,andproblem-solving.

Asweapproach2025,theintegrationofAgentsissettorevolutionizevariousfieldsbytransforminghowweinteractwithtechnology.

Inmanufacturing,thesesystemscanoptimize

productionlinesandboostefficiencythrough

collaboration.Theconvergenceofthesesystemswithemergingtechnologieswillusherinaneweraofinnovationandcreativity,drivingunprecedentedimprovementsacrossindustries.

Ultimately,thedawnof2025heraldsatransformativeperiod,expandingtheboundariesofartificial

intelligenceandredefiningourrelationshipwith

technology,thusunlockingavastpotentialtoimprovethehumanexperienceandsocietyatlarge.

03

Robotics

SculptingaNewWorld,OneInnovationataTime

Globant18

Globant>19

2025signalsanewtimeforrobotics,wherewe’reapproachinganeraofdemocratizationofrobots.

Andrightlyso:wecannolongerimaginelifewithoutRoombaorAlexa,which

notonlyhelpuswithrepetitivetasksbutaregraduallymakingmoreautonomousdecisions.DigitizationandtheincreasinguseofgenerativeAIaresomeofthe

factorsthatarepushingthisgrowth,andinthefollowingyearswewillseealot

morerobotsincontrolledsectors–suchashealthcare–andexpensiveanddifficultsectors–suchasmanufacturingandconstruction–.

Currently:

Over

$4.2billion

hasbeenraisedbyroboticsstartupsinseedfundingthisyear,advancingtothegrowthstage.

TheUnionBankof

Switzerland(UBS)

predictsthemarketsizewillgrowto

$346billion

,upfrom$262billionin2023.

Let’stakeacloserlookattheboundariesbeingredefinedandtheupcomingtrendsthatwillmarkanewwaveofinnovation.

Globant>20

•By2026,morethan30%ofintelligentrobotswillreach

level3intelligence(ahighdegreeofautonomyandcognitive

AIisn’tjustanunderlyingtechnologyinRoboticsbuttheenginethatisboosting itsexistence

AIistransformingeveryaspectofrobotics.Recently,wehaveseenasignificantpushfortrainingpoweredbylargelanguagemodelsandsimulationspaces.Now,AIisprovidingrobotswithgreaterprecisiontomake

independentdecisions.

capability,enablingindependentdecision-makingincomplexandvariableenvironments),upfromlessthan2%in2022,accordingtoEmergingTechnologiesAIRoadmapforSmartRobots-

JourneytoaSuperIntelligentHumanoidRobot,byGartner.

•

Nvidia’somniverse

helpstrainrobotswithhuman-like

movementsatscalebypracticingcontrolandmanipulationinavirtualobstaclecourse.

•

BostonDynamics

’newall-electrichumanoidrobot,Atlas,

featuresadvancedAIandmachinelearning,boostingenergy

efficiencyandattractingB2CinterestfrominvestorslikeHyundai.

In2024Globant’sTechTrends,westatedthatrobotstookontheroleofservice(robots-as-a-service),optimizingandautomatingmanytasks.WithoptimizationprocesseslikeRetrieval-

AugmentedGeneration(RAG)extendingthecapabilitiesofAIinLLMs,robotswillnotonlycontinuetoperformtheseactionsbutwillaugmenthumancapabilities.

Globant>21

“Therewillbeatimewhennooneisgoingtoconceivetheirlifewithoutarobot.”

-JuanPabloPizarro,

SoftwareDevelopmentSpecialistatGlobant.

Humansenses

arebeingdigitallyandartificiallyenhanced

sothatrobotscanreplicatethem.By2025,thisabilitywillbe

transferredtoindustrialorsmall-industryrobotsinpursuitofcostsavings.AccordingtoEmergingTechnologiesAIRoadmapforSmartRobots-JourneytoaSuperIntelligentHumanoid

Robot,byGartner:

By2030,80%ofhumanswillengagewithsmartrobots

onadailybasisduetoinnovativerobotadvancementsinintelligence,socialinteractions,andhumanaugmentationcapabilities,upfromlessthan10%today.

Through2026,assetinspectionandhumanaugmentationwithexoskeletonswillbethefastest-growingusecases

forroboticsolutions,initiatingnewadoptionopportunitiesinenergyandutilities,construction,andmanufacturing.

Globant>22

RoboticsOperations(RobOps)

WillRevolutionizeBusinessEfficiency

Theriseofroboticsisexciting,butoperational

challengesstemfrominefficientcommunication

betweendifferentsuppliers’codes.Forinstance,

robotsfromvariousbrandsmaycollidedue

tounrecognizedtelemetry,complicatingthe

managementofhundredsofrobotsacrossmultipleindustriallocations.

Toscaleandoperationalizerobottasks,

InOrbit

,

abestpracticeguideformanufacturersand

customersinthedesignanduseofrobots,wasborn.

Thisyear,theylaunchedInOrbitRobOpsCopilot™,aproductthatworkswithmixedanddistributedrobotfleetstotransformdatafromroboticoperationsintoactionableinformation.ThisAI-poweredinnovation,aimedatoptimizingrobotautonomy,centralizes

datafromdifferentsuppliersinasimpleandintuitiveecosystem.Inotherwords,wecannowrefineand

understandourrobots’dataregardlessoftheirbrands.

2025,wewillseerobotsworkingtogetheratscale,

havingsolvedthecompatibilityandcontrolhurdles.

TheInternetofRobotics

IsSmoothingtheWaytoa

SeamlessJourney

IoThasadvancedroboticsthroughseamlessconnectivityandnewprogramminglanguages,mergingwithAI

tocreateAIoT.Thisallowsrobotstomeetdiverse

industryneedsandenhanceinteractions.Robots

assistwithsurgeriesanddiagnosticsintelemedicine,

whileprecisionfarmingsupportseco-friendlypractices.

IoTinsmartcitiesreducescarbonemissionsand

improveswastemanagementthroughefficient

transportandenergy-savingbuildings.AkeyexampleisSaudiArabia’sNeomproject,a10,200sqmimegacityusingrobotsforsecurity,logistics,homedelivery,and

care,poweredentirelybywindandsolarenergy.

Globant>23

TheRobotsoftheFutureAren’tJustonTheirWay—

They’reAlreadyHere

Withgroundbreakinginnovationsacrossbothemergingand

establishedtechnologies,we’reenteringatimewhenroboticswillseamlesslyoperateinourhomesandtheworld’smost

remotecorners.Aswestandonthethresholdofthisexciting

reality,theadvancementswe’rewitnessingtodaypavetheway

forafuturewherethedistinctionbetweenimaginationandrealitybecomesincreasinglyblurred.

Globant>24

04

SyntheticHumans

BlurringtheLineBetweenFictionandRealityinDigitalInteraction

Globant25

Globant>26

BeyondSci-Fi:

SyntheticHumansareOurElectrifyingNewFriends

Sayhelloto

Charlie

,avirtualcareercoachforHeinekenfans,orthe

digitalfriend

atDallas-FortWorthAirportguidingtravelers.These“digitalhumans”from

SoulMachines

aretransformingdigitalinteractionsby

creatingemotionalconnectionsandboostingcustomersatisfaction,givingAIahumanface,literally,andredefiningdigitalengagement.

Theystandoutinthetechworldforgivinganentirelyfuturistictone.Theycanbecustomizedwithover100traitstomatchhumanbehavior,

includinglong-termmemory,vision,andhearing.Theyareused

fortaskslikeuserresearchandteamsupport,offeringasophisticatedimitationofhumanpsychology.Thesearesynthetichumans,AI-drivenentitiesresemblinghumansinappearance,personality,behavior,andintelligence,andtheirdevelopmentisgrowingexponentially.

TheDigitalHumanmarket,AIAvatars,isforeseen

togrowfrom

USD5.59billion

by2023toUSD

67.54billionby2032ataCAGRof31.9%.

AccordingtoMaverickResearchRiseoftheDigitalHumans,byGartner:

•By2026,50%ofB2Bbuyerswillinteractwithadigitalhumaninabuyingcycle.

•By2035,mostdocumentaryandjournalisticmedia(representationsofnewsandhistoricalevents)willbecreatedbydigitalhumans.

•By2030,morethan5millionfrontlineandmiddlemanagersinmidsizeandlargeenterpriseswillbereplacedbydigital

humanmanagers,adevelopmentthatwillraiseemployeeproductivityandengagement.

“Synthetichumanswillbeyourdigitalfriendsinthe

digitalecosystem.Afriendyouwouldwanttotalktoagainandagain,whounderstandsyou,doesn’tjudge,withwhomyoudon’tgetbored,andwhomyoucan

confidein.Thesesynthetichumans—representing

businesses—willbeyourdigitalfriendineverykindofexperiencewitheverybusinessyoudealwith.”

-RiteshMenon,

VPTechnologyatGlobant.

27

GettingPersonalwithTech,a

NewDigital-HumanRelationship

TheconceptofsynthetichumansisrootedinNass

andReeves’

mediaequationtheory

,whichsuggeststhatpeopleunconsciouslyrespondtocomputers

andmediaasiftheywererealsocialactorstriggered

bymediacues.TheshiftfromtheMediaEquationtheorytoAI-poweredavatarshasledtomore

natural,human-likecomputerinteractions,

transforminghowwework,shop,learn,and

communicate.Forinstance,AI-poweredpersonalshopperscombinedigitalefficiencywiththehumantouchofasalesperson.

Unlikedigitaltwins,replicasofreal-worldobjects

usedinsimulationfordifferentindustries,synthetic

humansembodyanewfrontierintheevolutionoflargelanguagemodels.Withtheirhandlingthroughfacial

expressions,bodylanguage,andemotionalresponses,suchadvancedinterfacescanassimilatethewhole

rangeofhumancommunicationtoredefinethe

relationshipbetweenhumansandmachinesfurther.

Whenweinteractwithachatbot,weexpectitto

respondlikeahuman.Communicatingwithamorehuman-likeAIthatunderstandscontextenhancesefficiencyandfosterstrust.

Globant>28

“Today’skeyevolutionisdevelopingnaturalcommunicationmethodsbeyondkeyboards,suchasvoiceandgestures.Thesemethodscanhelpunderstandemotionsand,tosomeextent,externalrealityandcontext.Thegoalistomakeoralinteractionsmoreintuitive,direct,

andhuman-like,enhancingengagementandrelatability.”

-JaydeepSheth,

SubjectMatterExpertatGlobant.

Globanthasbeendivingintosynthetichumantechnologysince2018,

leveragingAIandgenerativeAItechnologies.WithmajorbrandslikeNvidiaandApplefocusingonfacialtechnologies,synthetic

humansareexpectedtobecomemoremainstreamsoon.Despitethis,theadoptionofsynthetichumansisstillcautiousdueto

concernsaboutgenerativeAI’seffectiveness,cost,andsecurity.However,asAIethicsgainclearguidelinesandcompanies

likeNvidiaandMicrosoftimplementstrongsafeguards,these

concernsshoulddiminish,pavingthewayforbroaderacceptance.

29

BehindtheScenesofthe

NewFaceofTechnology

TheypresentauniquechallengebeyondgenerativeAIandtext,particularlyinintegratingemotionaldepthforthecharactersandusers.Thisiswheresentimentanalysisbecomescrucial,highlightingtheessentialroleoftraditionalAIalongsidegenerativeAI.Thetechnologyusedforsynthetichumansincludes:

AdvancedAIand

MachineLearning:

ComputerGraphicswith3DModeling:

NaturalLanguageProcessing(NLP):

MotionCaptureandAnimation:

•Enableshuman-likebehavior.

•Allowslearningfrominteractionsandtoevolveovertime.

•Facilitateslifelikepersonality

development,decision-making

processes,andemotionalresponses.

•Createshighlyrealistic,human-likevoices.

•Enhancesauthenticity.

•Createsrealistichumanappearances.

•Includesdetailedfacialfeatures,expressions,bodylanguage,andskintextures.

•Combinesvisual,auditory,andsometimestactileinputs.

•Createsamoreimmersiveandinteractiveexperience.

•Empowersunderstandingandproductionofhumanlanguages.

•Supportsnaturalandintuitiveconversations.

•Supportstheimmense

computationalpowerrequiredforrendering,animation,anddata

processing.

•Enablesreal-timeinteractionsandupdates.

•Capturesnaturalhumanmovement.

•Provideslifelikegesturesandexpressions.

•Processesdataclosertotheuser,

enablingfaster,real-timeinteractions.

•EnhancedReal-TimeProcessing

•Reducesrelianceoncloudservers.

•Context-awareinteractionsprocesslocaldatatoprovidepersonalizedandcontextuallyrelevantresponses.

AI-DrivenVoiceSynthesis:

Multi-ModalIntegration:

CloudComputing:

EdgeComputing

Additionally,visioncomputingwillsignificantlyenhancetheirabilitytointeractnaturallybyusingcamerastounderstandusers’environmentsandrespondintuitively.Theycouldmakeeyecontact,recognizefacialexpressions,andadjusttheirownmovements,creatingamoreimmersiveandengagingexperience.

an

Globant>30

Industry-Wide

Transformation

Theyareidealforrunningrealisticsimulationsto

trainusersincustomerservice,crisismanagement,andinterviewing.Theyofferasafe,feedback-drivenlearningenvironmentwithouthumaninvolvement.Inthecomingyears,theywillbewidelyadoptedacrossindustries,especiallyretailandcustomerservice.

HeyGen

isacompanyenteringthespacewiththecreationofAI-drivensolutionstodesign

hyper-realisticdigitalavatarsandvirtual

humansforaspectrumofapplications,rangingfromcustomerserviceandentertainmentto

personalinteractions.

Customerservicere-imagined

Theywillrevolutionizecustomerservicebyoffering

ultra-personalizedinteractionsbasedonpastbehaviorsandpreferences.Imagineadigitalpersonalshopper

whounderstandsyourtastesandcommunicates

throughtext,voice,orvideo.Unliketraditionalchatbotsoremail,synthetichumansemulatehumanemotions

andempathy,creatingamoreengagingandtrustworthycustomerexperience.

31

ATeacherWhoWants

HippocraticAI

hasdevelopedsynthetichumancharactersthatworkashealthcarevirtualassistants.Theseassistantsoffer

patientsmedicalguidance,answertreatment-relatedquestions,andmonitorsymptoms,especiallywhenonecan’thavedirect

contactwithadoctor.

YoutoAskasMany

QuestionsasYouNeed

Pictureateacherwho’syourmath