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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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