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GENUINEINTELLIGENCETM

THEFUTUREOF

HUMAN-MACHINECOLLABORATION

Introduction

Anewera

ofcontent

transformation

Noturningback

OurworldstandsatanAIinflectionpoint1.GenerativeAI(GenAI)–especiallyLargeLanguageModels(LLMs)–

havehitthemainstream,givingpeopleandorganizationsapowertheycouldonlydreamofayearago.Associetyconsiderswherethispathwilllead,thedebateisbuzzingwiththenoiseofsomanyunansweredquestions.

Ifanewsuperintelligenceemerges,willitbefriendorfoe?WillAIreplacehumancognitiveandcreativecapabilities,destroyingjobsandincomes–orcreatethem?CouldAIgorogue,enslavinghumanityorevenwipingouttheplanetinpursuitofmorepaperclips2?

Alltoooften,thesedebatespresenta

binary,zero-sum,either-orproposition:it’seitherArtificialIntelligenceorHumanIntelligence.

Thisapproachisn’tjustunhelpful.

It’swrong.

Unhelpfulbecauseofthenegativesocialimpacts,

spreadingasenseofprecariousnessanddistrustinAIsystems.WrongbecauseitfailstorecognizethatAIisaprofoundlyhumanachievement:apowerfulexampleofwhat’spossiblewhenwecombinehumanintelligenceandcreativitywiththedesignandengineeringskillsittakestobuildmachineintelligence.

1

AIisataninflectionpoint

2

AIandthepaperclipproblem

Historyshowsthatenterpriseinnovationhasalways

beendrivenbytheessentialpartnershipbetween

humansandtechnology.Weusetechnologytocreate

toolstoperformtasksforusortohelpusperform

tasksmoreeffectively,efficientlyandsafely.Weusepilot

projectsandproofsofconcepttotestandimprovehow

theywork.Thenweintegratethemintonewproduction

processes.

DespitewhatmanyGenAIheadlinessuggest,ittakes

timeforanyinnovativetechnologytofinditsuseful

placeintheenterprise.Thiswasastrueofelectricityat

thebeginningofthe20thcenturyasitisofinformation

communicationtechnologiesandAIinthe21st:ittakes

humaninsighttounlockanewtechnology’spotential.

GENUINEINTELLIGENCE2

GenuineIntelligenceis

thekeytodeliveringthis

contentconfidenceatscale

andspeed.Thisreport

showsyouwhy.

Introduction

theemergenceofopen-sourcemodels,democratizesaccesstoAI.Butthisalsobringsnewopportunitiesforbadactorstoexploitthetechnology’scapabilities.Alreadywe’reseeingrapidgrowthinfakecontent–whetheraudio,image,textorvideo.

Thentherearethesignificantchallengesforbusiness

andsociety.GenAIenablescontenttobeproducedwithunprecedentedvariety,velocityandvolume(thethreecoredimensionsofBigData)whilequestionssurroundvalueandveracityinthisnewcontentuniverse.

AswithBigDatamining,thechallengeforallcontentconsumerswillbetoseparatethesignalfromthenoise–toidentifywhat’strueandvaluablefromwhat’sfalse,fraudulent,inaccurateormisleading.

GenuineIntelligence:

twointellects,onemind

Aswesettleintothefifthindustrialrevolution–the

emergingageofAI–thishistoricpartnershiphas

anewname.GenuineIntelligenceembodiesthe

uniquestrengthsofbothartificialintelligenceand

humanintelligence,recognizingthatthetwoare

morepowerfulcombinedthaneitherarealone.

GenuineIntelligenceisalivetoboththeweaknesses

ofartificialintelligenceandthelimitsofhuman

capabilities.

Ourpreviousreport,

UnlockingGlobalUnderstanding

,

exploredhowpeoplearoundtheworldfeelconflicted

ForBartMaczynski,VPMachine

Learning,LanguageWeaver,RWS,“InaworldofGenAIcontent,the‘noise-to-signal’ratiomaybecomeunbearable.”

abouttechnology.Theylovethebenefits,buttheyworry

aboutthepaceofchange,thepaceoflife,andthelossof

humanconnectionsandtraditions.GenuineIntelligence

allowsustoholdthesetensionswithsensitivityand

empathy.

Ourworldisbeingreshapedbyanexplosionof

LLM-fuelledAIsolutionsfromstart-upsandBigTech

Languageisafundamentalfeatureofhuman

intelligence.Whilewemaytakeitforgranted,it’s

incrediblycomplexandhardtoauthenticallyreplicate.It’sculturallyandcontextuallynuanced,ever-evolving,subtle,multi-layeredandenhancedbynon-verbalsignals.As

such,languageholdsthekeytoidentifyingauthenticcontent.

alike,eachracingtooutdothelast.Theinflectionpoint

highlightedbyrenownedAIresearcher,FeiFeiLi3,signals

howimportantthechoiceswemaketodayareinterms

ofAIresponsibilityandsafety,aswellasthechallengesof

democratizingthetechnologyforpublicgood.

WhiletheemergenceofGenAIis

anexcitingopportunity,Melanie

Asatechnology-ledcompanyfocusedonlanguage,contentandunlockingglobalunderstanding,weseethisastheheartoftheGenAIchallenge–andtheopportunity.Successwillbemeasuredbythelevelsofconfidenceandtrustthatcontentproducersandconsumersplaceinouroutputs.

Peterson,ProgrammeDirector,TrainAI,

is“concernedthatenterprisesareso

keentojumpaboardtheGenAItrain

thattheywillexposethemselvesto

hugerisks”.

Forenterprisesthatwanttogetitright,Genuine

IntelligencepositionsGenAIandLLMswithinthe

evolutionarysweepofinformationcommunication

technologies,pragmaticallyevaluatingtheirpotential,

reliability,andrisks,withoutthehypeofinflated

expectationsorthegloomofnegativity.

Thekeytocontentconfidence

TheexplosionofGenAIstart-ups,combinedwiththe

radicallysimplechatinterfacepioneeredbyOpenAIand

3

AIisaninflectionpoint

RWSGENUINEINTELLIGENCE3

GenuineIntelligence

WHATIS

GENUINE

INTELLIGENCE?

4

GENUINEINTELLIGENCE

Inclusive

GenuineIntelligence

GenuineIntelligenceistheseamlessfusionofArtificialIntelligenceandHumanIntelligencetooptimizethe

waycontentanddataaretransformedforaudiencesworldwide.

GenuineIntelligenceenablesustoworkconfidently

withAI,tomitigatetherisksofna?veAIimplementation,andtounlockthetruepotentialofAIforbusinessandsociety.

Incontrasttothe‘either-or’approach,westartwitha

‘both-and’approachtoAIinnovation.Thepaceofgrowthinthevolumeandvarietyofenterprisecontentdemandmakesitpossible–andnecessary–tointegrateAIwithhumanintelligence.

AsMatthewHardy,SVPLinguisticAI,

RWS,argues,“We’reseeingexponentialgrowthincontentproductionthat’s

notmatchedbygrowthinhumanorfinancialresources.ThereforetechandAIareessential.”

Inthisapproach,AIdoesnotreplacehumanlinguistsandtranslators.Instead,AIcomplementsspecializedhumanskills–vastlyincreasingthespeedandvolumeofdelivery,andmakingitpossibletomanagetoday’senterprisecontentdemands.

ForBartMaczynski,“Human

intelligenceistoopreciousanduniquearesourcetobewastedonbanal

tasks.Byfocusingourmachinesonthetediousandrepetitive,weallowhumanstoshine.”

GenuineIntelligencerepresentstheuniquerealityofourbusinessatRWS.Ourin-houseteamof1,700+languagespecialistsworkscloselywithateamof600AIresearchanddevelopmentspecialiststooptimizethewaywe

transformcontentandachievebusinessobjectives.

WebuildourapproachtoGenuineIntelligenceonthreepillars:

ResponsibleCreative

Inclusive

InthewordsofMelaniePeterson,ProgrammeDirector,TrainAI,RWS,GenuineIntelligencerepresentsan

‘a(chǎn)uthenticpartnership’betweenhumansandmachines.It’sacommitmenttohigh-value,high-quality,human-in-the-loopprocesses.DevelopingspecializedlanguageandGenAImodelstakesspecializeddomainexpertise.TheTrainAIcommunityatRWSprovidesadeeppoolofsuchexpertise,includingnichedomainssuchasoperasingingandprofessionalathletics.

TrainAIoffersclientsaccesstothisTrainAIcommunityatRWS–anextensive,activepoolof100,000+annotatorsandlinguists,whoprovideskilledAIdatatrainingservicesin400+languagevariantsacross175+countries.The

communitycreates,collects,annotatesandvalidatesalltypesofAIdata–fromtext,audio,imagesandvideostomultilingualandsyntheticdata.

Thisethical,fairanddiversesourcingofhumantalent,integratedintotheproductionprocess,isaworldawayfromtheancillaryroletypicallyplayedbyhumansintheAIsupplychain.Tooofteninalow-value,commoditizedmarket,lessresponsibletechcompanieshavebeen

implicatedinglobalsupplychainabusesenabledbygigeconomyplatformsandemploymentdynamics.

Today,we’repushing

opentheboundariesof

inclusivitybecausewe

recognizetherearestilltoo

manybarrierstobringing

diversehumanintelligence

intothecontent

transformationmarket.

RWSGENUINEINTELLIGENCE5

Thediversityofour100,000+

TrainAIcommunity,ourin-

houseteamof1,700+languagespecialistsandourglobalnetwork

GenuineIntelligence

OurTradostranslationplatformhasalreadyachieved

thehighestWCAG(WebContentAccessibilityGuidelines)accessibilitystandard.Butwe’renotstoppingthere.

That’swhywe’redoingacomprehensiveaccessibility

reviewoftheentiretranslatorjourney–fromapplicationtooperation.Thisisbeingcompletedbya100%blindtranslatorasaPhDprojectandwillinvolveupdating

thesourcecodefortheentireplatform.Ourobjective

istoensureaccessibilityforalllevelsandtypesofvisualimpairment.We’realsocommittedtoworkingwith1,000visually-impairedtranslatorsin2024.

Responsible

“Thereistoolittleacknowledgementthatsomuchisstillunknownabout

theseverynewsystems.Weneeda

muchgreatersenseofresponsibilitywithafocusongovernance,guardrailsandethics.”

VasagiKothandapani,President,EnterpriseServices,RWS

Ouruniqueapproachtosourcingdiversehuman

intelligencereflectstheneedtoemphasizeethicsandgovernanceasthefieldofAIdevelops.

MariaSchnell,ChiefLanguageOfficer,RWS,stresseshowimportantitisto“establishbasicvaluesthatwraparoundourapproachtoAI.IncontrasttotheexplosivegrowthofGenAIstart-ups,weneedtostepbackandrecognizethatjustbecausewecandosomething,it

doesn’tmeanthatweshoulddoit”.

Anyenterpriselookingtoadopttechnologyresponsiblymusthaveanon-negotiablecommitmenttoinformationsecurityanddataprotection.We’vebeenmanaging

contenttransformationforenterpriseclientsforover

50years,includingtheworkofourRegulatedIndustriesandIntellectualPropertyspecialistbusinessareas.We

understandthecomplexitiesofenterpriseneedsandthecriticalimportanceofconfidentiality,privacyandsecurity.

That’swhyourin-housetechnologyisbackedupbyasecurity-firstcultureandourISO27001accreditation.ThisisespeciallyimportantwiththeriskssurroundingGenAI’sconversationalinterfaces,suchasprompt

injectionattacks,andalsoattheupstreamleveloffine-

tuningmodelsthroughintegratingnewtrainingdata.AresponsibleapproachtoAImeansbeingabletoidentifyandmitigatetherisksarisingfromnewtechnologiesandtechniques.

Proprietaryfoundationmodelshavecomeunderscrutinybecausethetrainingdatatheyusecompoundthe

biases,prejudicesandinjusticesoftheworldwelivein(inasmuchastheyaremanifestacrosstheinternet).

Responsiblepractitioners,likeRWS,knowbetter

thantoblindlydisseminatesuchbiases.Theyworktounderstandthelimitationsofindividualdatasetsandmodelsandfindsolutionstotheseproblems.

of30,000+linguists,togetherwith

establishedprocessesfortesting,

identifyingandmitigatingbias,are

criticaltoaddressingtheserisks

successfully.

Asexploredinour2021digitalcontenttrendsreport,roguealgorithmsmustn’tbeallowedtoruleifwearetobuildandsustaintrustintechnologyandincontent.Rigorousandrobustprocessesareakeydefence.In

thewordsofBenMiddleton,PrincipalArchitect,RWS,“toomuchtrustinAIcreatessignificantrisks.Robustprocessesmitigaterisksandensurequality”.

ThisisevenmoreimportanttodaywhenmanyLarge

LanguageModels(LLMs)areeffectivelyinscrutable,andhallucinationsarerecognizedasarecurringfeatureofGenAI.

GENUINEINTELLIGENCE6

GenuineIntelligence

Creative

“There’sanopportunityhereforbrandstostandoutbystandingupforqualityinformationandinvestinginoriginalityandcreativity.”

FrankClosset,HeadofProduct,Tridion,RWS

GenuineIntelligenceaffordsbrandstheopportunityto

standoutinacontentmarketthatwillbeincreasingly

dominatedbyGenAI.There’saveryrealdistinction

betweenhumancreativityandmachinegeneration.And

thereareveryrealfearsthatthegrowthofGenAIwill

meanthatthecontentuniverserapidlybecomes“flat,

standardized,derivativeandsafe”.

Theauthentichuman-machinepartnershipunderpinning

GenuineIntelligencemeanswecanguardagainst

therisk,highlightedbyMarinaPantcheva,Director,

LinguisticAIServices,RWS,“thatwewillloseourcreativity

inlightofGenAI”.Thisactivepartnershipisalsovitalto

makesure“peopledon’tstopthinkingandsimplydefault

tothemachine”–withallthenegativeimplicationsthat

brings.

It’simportantthatbrandsretainthecapacitytoproduce

originalandcompellingcontenttotrulyengage

audiences.Thisrequirestheabilitytosegmentcontent,

toappreciatethatnotallcontentiscreatedequally,and

totargetscarceresourcesaccordingly4.

Thinkingthiswayabouthigh-qualitycontentproduction

canalsohelpbrandsovercomecurrentchallengeswith

customerexperienceacrosstheworld.Manyconsumers

areturnedoffbyanover-relianceonautomationand

machinecontent.They’recravinghumanconnectionsand

empathyandtheywanttofeelthelovefrombrands5.

Withbudgetsunderpressure,thisisahugechallenge

forbrandsandenterprisesofalltypes.Fortunately,

integratingLLMsintocontentauthoringand

transformationprocessesequipsthemforsuccess.

TakeourapproachtoeLearning6,forexample.

Recognizingthatonesizedoesn’tfitall,oureLearning

practicetailorsthelearningexperiencearoundindividual

learners,theirpreferredformatsandstyles,andtheir

culturalsettings,tomakesurethecontentisrightfor

everyone,everywhere,everytime.

4

5

6

2024GlobalConsumerTrends

AccentureLifeTrends2024

RWSlaunchesglobaleLearningpractice

GENUINEINTELLIGENCE7

GenuineIntelligence

AIlessons

fromachess

worldchampion

WhileGenuineIntelligenceoffersafreshapproachtohuman-machinepartnershipforenterprisestoday,it’srootedinabackstory7decadesbeforeitstime.

Inthe1990s,theworld’smostprominentAIdeveloperswereonamission:tocreateamachinecapableof

beatingtheworld’sbestchessplayerattheirowngame.In1997,theysucceeded,withIBM’sDeepBluefamouslybeatingthechessworldchampion,GarryKasparov.

Recognizingthefutilityoffightingthemachineonhisown,Kasparovbecameinterestedinthepotentialfor

humanandAIcollaborationtooutperformAIalone.Hisvisionwasrealizedina2005chesscompetitionwiththehuman-plus-machinecombinationbeatingbothasolehumanandasolemachine.

Whatmadethisinterestingwasthespecificcombinationthatwonthetournament.RatherthanaGrandMaster

boostingtheirskillswithapowerfulmachine,thewinningteamcombinedtwoamateurhumanchessplayers

playingwiththreeweakcomputers(nosupercomputers).AsKasparovhimselfputit:

7

。

TheFutureOfCommunicationInTheAgeOfArtificialIntelligence

HowToBecomeACentaur

“Weakhuman+machine+better

processwassuperiortoastrong

computeraloneand,moreremarkably,superiortoastronghuman+machine+inferiorprocess.”。

Withthepassageoftime,andtoday’sinflated

expectationsandexistentialfearssurroundingGenAI,

thismessagehasbeensomewhatlost.Yetforusit’sa

NorthStar,guidingourapproachtoGenuineIntelligence.

Inthispartnership,thehardpartisthe‘a(chǎn)nd’–howdowe

efficientlyandeffectivelyintegratehumanandmachine

intelligenceintoourprocesseswhileplayingtothe

strengthsofeach?

FrankClosset,echoingthethoughtsofKasparov,

believesthatinthenot-too-distantfuture,acrossmost

domainsandaspectsoflife,“humanswithoutAIwillbe

redundant”.

GENUINEINTELLIGENCE。

GenuineIntelligence

WhyGenuine

Intelligence?

Thistrustisevidencedbyconsumerwillingnessto

engagewithGenAIsystemsinhighlypersonalaspectsoftheirlives.CapgeminialsofoundthatawarenessoftherisksrelatedtoGenAIsystemsisrelativelylow.

Thesetrendsmakethecurrentoperatingenvironmentachallengingone.NegativitycanstifleAIinnovationwhilena?veadoptionwillexposeconsumers,likebusinesses,tonewrisksanddangers.

GenuineIntelligence,builtonyearsofexperience

withnewtechnologiesandAI,canchartamiddlewaybetweenthesepoles.Here’show.

WhyisGenuineIntelligencesovitaltosustainedsuccess

inthecontenttransformationmarket?Publicattitudes

towardtechnology,AIandLLMsholdsomeofthe

answers.

Forexample,manypeopletodayseeAIasathreatto

humanity9,andonly50%ofglobalrespondentsbelieve

thatAIbenefitsoutweightherisks.10

Thesesentimentscouldbeadirectconsequenceof

popularcoverageovermanyyearsframingAIasa

substituteforhumanintelligence.Suchfearshaveonly

beenstokedbythedebatesurroundingtheemergence

ofGenAI,includingforecastsaboutAItakingaway

people’sjobs.

Bycontrast,recentresearchfromCapgemini11shows

thatconsumerconfidenceinGenAIisrelativelyhigh.

Theheadlinefindingisthat73%ofglobal

consumerstrustcontentgeneratedbyAI.

9

AIthreatenshumanity’sfuture

10

Buildingtrustinartificialintelligence

11

73%ofconsumersgloballysaytheytrustcontentcreatedbygenerative

AI

GENUINEINTELLIGENCE

9

ContentconfidenceInnovatelikeyoumeanitNoshortcutsBettertogether

Content

confidence

ContentconfidenceInnovatelikeyoumeanitNoshortcutsBettertogether

TheMisinformationMachine*

AI-generatedcontentcomesloadedwithaprofound

question:howdoyouknowwhat’sreal?Astheuseof

GenAIandLLMsexplodesexponentially,sotoodoesthechallengeofmisinformation.

NowanyonecanuseGenAItoproducefaketext,image,audioorvideocontent.Manyexamplesmightseem

likeharmlessfuntoday,buttheyseedthepotentialformoreseriousfraudulentimpersonations,especiallyas

thetechnologycontinuestodevelop.Forexample,thereareveryrealandimmediateconcernsaboutthepossibleimpactonkeyglobalelectionsin2024,includinginIndiatheUKandtheUSA.

Surroundingthisisageneralclimateofdistrust.Asweexploredinour2023UnlockingGlobalUnderstandingreport,findingsfromthelong-runningEdelmanTrust

Barometersuggestthatdistrustisnowsociety’sdefaultposition.Edelmanarguesthatthewaytobreakthis‘cycleofdistrust’12isforbrands,enterprisesandgovernmentstofocusonprovidingqualityinformation.

Misinformationmaynotbedeliberate,butaninherentissuewithLLMsistheproblemofhallucinations:

presentingfalseorillogicalinformationasfact.Contentproducersmustnotover-relyonAIandriskinadvertentlyfuellingdistrustincontent.Instead,theyshouldbe

confidentthattheircontentwillstandapartasauthentic,accurateandreliable.

Contentconfidence

GenuineIntelligenceisfundamentallyaboutprovidingcontentproducerswiththeassurancethatcontent

transformationwillnotcompromisetheaccuracy,

reliabilityandauthenticityoftheircommunications.Thisisthefoundationofcontentconfidence.

Deliveringcontentconfidenceatthescaleandspeedrequiredbyglobalenterprisesisacomplexchallenge.Itrequiresdeepexperienceandexpertisewithdifferenttechnologies.Our47technologypatentsand100+

publishedpeer-reviewedarticlesdemonstrateourdeepcommitmenttothis.

We’vebuiltproven,enterprise-gradeproductsin

Trados,TridionandLanguageWeaver.We’reinvestingtensofmillionsinR&D,includingasignificantshare

12

13

Breakingtheviciouscycleofdistrust

Whatisretrieval-augmentedgeneration?

*Asfirstreferencedin‘TheComingWave’byMustafaSuleyman

indevelopingMachineTranslationQualityEstimation

(MTQE)standards.

MTQEisavitaltoolinthismix.AsweintegrateLLMsinto

ourprocessesandworkflows,we’reincreasinglyusing

AItotargethumanexpertiseasefficientlyaspossible.

Insimpleterms,we’recontrollingthehumanimpulse

toreviewallmachinecontent.Insteadwe’relearning

totrustMTQEtoprioritizeandsustainefficiencies

throughoutthetransformationlifecycle.

Anotherkeymethodfordeliveringcontentconfidence

isRetrievalAugmentedGeneration(RAG)13.RAGisa

defenceagainsthallucinationsandinaccurateoutputs

thatTomá?Burkert,SolutionsConsultant,TrainAI,RWS,

sayswillbecriticaltoensuringAIoutputsaregrounded

inobjectiverealityandareverifiable.

Thesearejustsomeofthereasonswe’rerespectedasa

responsibleplayerintheindustry,workingwithmanyof

thelargestglobaltechnologycompaniestodevelopand

improvetheirAIapproachesandprocesses.

Increasingly,weprovidehigh-valueconsultancyservices

toourclientsandpartners,helpingthemdevelop

theirunderstandingofAItechnologiesandbuilding

bespokeAIsolutionsaroundtheirspecificneeds.As

BenMiddletonputsit,“TheRWSheritageissuchthat

wecanadviseandeducateclientsastothebestway

toworkwithAI.Ourhistoryinsulatesusfromthehype,

frothandexcitablestart-upsonthemarket.”

GENUINEINTELLIGENCE11

ContentconfidenceInnovatelikeyoumeanitNoshortcutsBettertogether

Keycomponentsfordeliveringcontent

confidenceonaglobalscale:

Accuracyin

translation

Culturalsensitivity

andrelevance

Consistency

acrosslanguages

Expertisein

localnuances

Compliancewith

localregulations

Targetedcommunications

fordiverseaudiences

Qualitycontrol

andfactchecking

Adaptingtodynamic

linguistictrends

GENUINEINTELLIGENCE12

ContentconfidenceInnovatelikeyoumeanitNoshortcutsBettertogether

Innovate

likeyou

meanit

ContentconfidenceInnovatelikeyoumeanitNoshortcutsBettertogether

Hyper-acceleration

Somuchoftoday’stechrhetoricisfocusedonurgencyandspeedtomarket.Thehype-cyclesurroundingnewtechnologiesisacceleratingasstart-upsandsolutionscontinuetoemerge.

Thiscanleadorganizationstoadoptnewtechnologiesinanuncoordinatedway,inmanycasessimplybecause

theywanttobeseenasamodern,progressive

organizationthat’sactiveinthesenewspaces.Butwhenenterprisefunctionsaremovingatdifferentspeeds

andenterprisearchitectureisnotkeepingpacewithdevelopments,thisexposesorganizationstonewrisks.

Weunderstandthemarketdynamics–theneedfor

vendorstopromotenewproductsandsolutionsto

generatereturnsonoftensignificantinvestments.

Butwealsounderstandtheimplicationsofbloated

technologystacks,obsoleteapplicationsandfractureddataflows–leadingdirectlytodisappointingcustomerexperiences(reflectedinresearchfromAccenture,forexample14).

ThelaunchofChatGPTandsubsequentinfluxof

proprietaryandopen-sourceLLMshasbeensurroundedbyhugehype,creatingexpectationsandpressuresforenterpriseadoptionthatareyettobefulfilled.No-one

canaffordtostandstilltoday.Butwithoutastrategic

approachtoGenAI,manyenterprisesareexposedto

therisksofshadow(undeclaredandunauthorized)useofthesenewsystemsandofexposingtheircustomerstoimmaturesolutions.

Eachwaveoftechnologicalinnovationbuildsonthelast,creatingaladdereffect.Everystepontheladderbenefitsfromrobusttestinganddevelopmentbeforeintegration.Inthisway,we’retodayintegratingLLMsintoprocessesthathavealreadybeenoptimizedforstatisticalandthenneuralmachinetranslation.ThistechnologymaturityisvitaltoourAIapproach.

Forus,innovationisnotforaperformance–it’sforapurpose.AsBenMiddletonsays,incontrasttothehyper-accelerationproblem,

“It’sreallyimportantthatwe’renotusingAIforAI’ssake.WeneedtobeveryclearonthebestusecasesandapplicationsforAI.”

We’realsopurposefulaboutthewayourAIexperts

worktogetherwithourlanguagespecialists,withthelatterabletoinformandinfluencethedirectionofourtechnologies.Thisintegrated,iterativeapproach,isafundamentalpartoftheGenuineIntelligenceDNAandhowweenrichinnovationthroughhuman-machine

collaboration.

Purposefulinnovation

Bycontrast,purposefulinnovationflowsfromaclear

understandingofthetechnologyspace,anopennessto

newtechnologies,andarigorousapproachtotesting

andevaluation.

Ourowninnovationjourneyspansdecades–from

developingelectronicdictionariesandtranslation

memoryandmanagementsystems,tofirstlaunching

statisticalmachinetranslationin2003,tolater

developingtheworld’smostadvancedneuralmachine

translationplatform.OurpatentsandAIpapershighlight

thewaysourlanguagespecialistsandelitescientists

continuetoredefinethelimitsofmachinetranslation.

14

AccentureLifeTrends2024

GENUINEINTELLIGENCE14

ContentconfidenceInnovatelikeyoumeanitNoshortcutsBettertogether

Language

Weaver

Evolve

WeannouncedthebetalaunchofEvolveinNovember2023.A

pioneeringlinguisticAIinnovationbyLanguageWeaver,Evolve

harnessesthepowerofsecureneuralmachinetranslation,

linguist-verifiedqualityestimationandLLMs.Thisunique

combinationofhumanandartificialintelligencehasthepotential

torevolutionizetranslationprocessesbysignificantlyreducingthe

timeittakestoachievenearhuman-likequalityoutput.

Thepatent-pendingcapabilityofEvolvefirstanalysesLanguage

Weaver’sinitialtranslationofthecontent,checksthequality,and

suggestsareaswherethetranslationcanbefurtherimproved.

ItthenusesanLLM,fine-tunedbyLanguageWeaver’slinguistic

experts,totargetthosepartsofthecontentthatrequirefurther

editsandautomaticallydeliverabettertranslationofthatcontent

–innearreal-time.Designedwithsecurityinmind,Language

Weaverensuresthatclientcontentandinformationareprotected

throughouttheprocess.

Ourin-houselanguagespecialistsanddatascientistshavebeen

involvedineverystepofEvolve’sdev

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