【会议演讲PPPT】Gartner+生成式+AI：改变业务创新和运营方式

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GenerativeAI:ChangingHow

BusinessInnovatesandOperates

ConnectwithGartner

EricGoodness

VPAnalyst

AnnetteJump

Sr.DirectorAnalyst

VibhaChitkara

Specialist,Research

GenerativeAIOffersUsMuchMoreThanUnique

VisualsandtheBestWords

ThisPerson

DoesNotExist

Text-to-Image:StableDiffusion

StableDiffusion2-1-aHuggingFaceSpacebystabilityai

Source:WikimediaCommons

4©2023Gartner,Inc.and/oritsaffiliates.Allrightsreserved.GartnerisaregisteredtrademarkofGartner,Inc.anditsaffiliates.

GenerativeAIDefinition

GenerativeAIGenerativeAIreferstoAItechniquesthatlearna

representationofartifactsfromdata,anduseittogenerate

brand-new,uniqueartifactsthatresemblebutdon’trepeatthe

originaldata.

GenerativeAIcanproducetotallynovelcontent(includingtext,

images,video,audio,structures),computercode,synthetic

data,workflowsandmodelsofphysicalobjects.

GenerativeAIalsocanbeusedinart,drugdiscoveryormaterial

design.

5

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S&PGlobal1200CompanyCEOs

2%ofCEOsdiscussedGenAIintheirearningcalls

1%ofCEOsdiscussed

deployingGenAI

(FromJanuarytoApril2023)

GenerativeAIBegantoQuicklyEmergeasaTopic

onEarningsCallsinEarly2023

Company

Genpact

Etsy

Accenture

MetaPlatforms

CadenceDesignSystems

LeidosHoldings

CEO

NallicheriVaidyanathan

Tyagarajan

President,CEOandDirector

JoshuaG.Silverman

CEO,PresidentandDirector

JulieT.SpellmanSweet

CEOandChairman

MarkElliotZuckerbergFounder,ChairmanandCEO

AnirudhDevgan

CEO

RogerA.Krone

ChairmanandCEO

EmergingTechImpactRadar:Artificial

Intelligence

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Learning

Methods

Programming&DataAssets

•Trainingdata—e.g.,events,POS,behavior

•Testandsyntheticdata

•Code

•Contextdata—e.g.,marketconditions

Natural

Language

•Questions/answers

•Summaries/roundups

•Stories/narratives

•Documents

•Joblistings

Audio/Visual

•2D/3Dfaces/bodies

•Drawings/photographs

•Art

•Voice/visualcharacters

•Music

Designs

•Productdesigns

•Materials

•3Dmodels

•Gameworlds

•Processflows

•Schematics/specifications—e.g.,drugs,infrastructureand

buildings,filmedits

Strategies

•Unprogrammedgamestrategies

•Unanticipatedstrategicscenarios

BusinessArtifactsThatGenAICanGenerateToday

GenerativeAI

Artifacts

Tactics

•Rules/inferences

•Reinforcementlearningmodels

•Alternativelearningmechanisms

PossibleScenariosandTrajectoriesforGenAI

2024202520262027

Useofsynthetic

30%ofoutbound

•GenerativeAIwillautomate60%

By2027,nearly15%

datacreatedwith

marketingmessages

ofthedesigneffortfornew

ofnewapplications

generativeAIwill

fromlarge

websitesandmobileapps.

willbeautomatically

reducethevolume

organizationswillbe

•Over100millionhumanswill

generatedbyAI

ofrealdataneeded

synthetically

engagerobocolleagues(synthetic

withoutahumanin

formachinelearningby50%.

generated.

virtualcolleagues)tocontributetoenterprisework.

theloop,upfrom0%today.

Source:

Predicts2022:GenerativeAIIsPoisedtoRevolutionizeDigitalProductDevelopment

11January2022-IDG00757883

ByBrentStewart,VanBaker,JoachimHerschmann

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Tech&ServiceProviderResponsetothe

GenerativeAIOpportunity

ISVs

Newapplications,wavesofnew‘AI-Natives,Growingneedformodernization

Service

Providers

Business&ITConsulting,FMs-as-a-Service

Tech

Stack

FMs-as-a-Service,AIChips,

vectordatabase,HPC

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ETTCaseBasedResearch(CBR)

•Astructuredfieldstudyseekingtorevealongoingtechnologyandbusinessdemandsforemergingtechnologies.

•Interviewed(30)vendorsofferingsoftware/platformsenabledbygenerativeAI.

•Collectednearly100casestudiesandrelatedusecases.

•FieldsurveyprocessspannedQ4-22throughQ1-23(withafewadditionalengagementinQ2-23).

•PublishedresearchfromtheCBRstudyiscurrentlyavailablewithseveraldocumentsinprocess.

AIAvatars

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AIAvatarsAreComplexTechnologicalCreations

SampleVendors:Amelia;DAVI;Openstream.ai(Eva);Klleon,NVIDIA(OmniverseAvatarCloudEngine);Rephrase.ai,Soul

Machines;Synthesia,UneeQ

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AdvancedinGenerativeAISpeedUpCreationof

AIAvatarsandOpenUpNewUseCases

UseCaseexamples:

•Customersupportrepresentatives

•Virtualsalespersonorfinancialadvisor

•Supportinghybridorvirtualcoworkingandcollaboration.

•Customerassistantinakioskinanairportorasocialvenue.

•Trainingassistant(possiblyinametaverse)foremployeesorstudents.

•Virtualpresenceatentertainmentevents,likeavirtualconcertorgallery.

By2025,AIavatarsleveragingtext-to-videousinggenerativeAItechnologywillsupport70%ofdigitalandmarketingcommunicationsfromlessthan5%in2022.

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AIAvatarImplications&Recommendations

•Implications

➢AIavatarsleveragingtext-to-videowillenhancethecreativityandhumanizeinternalandcustomercommunications,enablinghyperpersonalization.

➢Twobiggesttechnicalchallengesarecombiningvariousemergingtechnologiestoenablerealistic,human-centeredandsuperresponsiveAIavatarsandapplyingthisatscale.

➢Concernsaboutdeepfakes,nascentbutlagginglegalprotectionforusersandcontent,andresponsibleapplicationofAIprinciplesarechallengestoscalingfutureAIavatardeployments.

•Recommendations

➢IdentifyusecaseswhereAIavatarscanaddquantifiablebusinessvaluetoyoursoftwareproducts,asbrandambassadors,digitalcustomercarerepsoreveninthemetaverse.

➢FurtherenhanceVAofferingsbyintegratingsyntheticvoiceandemotionAItechnologyintovoiceinterfaces,likeAIavatarsinkiosks,virtualtrainingorimmersiveenvironments.

➢CreatevisuallyrealisticAIavatarsbydeterminingwhichtechnologicalelementscanbedevelopedinternally,suchasavatarCGIshells,andbycollaboratingwithpertinentNLTprovidersforfeatureslikesyntheticvoice,multimodalAIoremotionAI.

AI-GeneratedContent

16

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AI-GeneratedContent–MarketLandscape

Output

Video

Image

Text

AI-generatedtrailers

AIforMarketing

Content

Domain

Content

AIWriting

Assistants

AIAvatars

Videoanalytics

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Text

Image

Input

Video

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UseCaseForTextAutomation

•General–Q&A,Translation,Summarization

•Domainspecific

–SummarizationandTranslationofLegalDocument

–AutomatedReportWritingfromClinicalTrialDatainPharma

–BusinessModel,MarketSizing,SWOTAnalysis,PESTAnalysis,BrandNaming

–MediabyConvertingSportsDataIntoNews

–SportsPlayerPerformanceReportFromVideoAnalytics

–RealTimeMarketInsightsFromFinancialMarketData

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UseCase:AutomatedClinicalTrialReports

BusinessChallenge

•Toreducethirdpartydependencytobuildreportsfromclinicaltrialdata.

•Toreducetime,costandeffortrequiredtobuildonereport.

•Toreducehumanerrorandoperationalefficiency.

BusinessValueAchieved

•65%reductionintimespentondocumentationgenerationhencefasterapprovals.

•40%expectedcostreductiononmedicalwriting.

•50%reductioninreviewsrequired.

•Increaseoperationalefficiencieswithmorestandardizedandstreamlinedprocess.

Source

/4-benefits-of-automating-clinical-study-reports-csrs/

,

/narrativa-lls-bring-ai-generated-reporting-to-the-clinical-trial-process/

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UseCasesForImageandVideoAutomation

•PersonalizedandCustomizedAdvertisementContentbasedonGeography,Race,AgeGroup,Profession

•CreativeAdvertisementforMarketingAcrossDifferentChannels

•AI-generatedcustomizedvideotrailerbasedonpreferencetowardsemotions,thriller,actionetc.

UseCase:CreativeAdsUsingGenerativeAI

BusinessChallenge

•Toreducecostperacquisitionby50%andfindthebestperformingcreativesadsforadogfoodbrand.

BusinessValueAchieved

•16adstestedtofindthebestperformingads.

•Average15%reductionincostperacquisition.

•Max56%reductionincostperacquisition.

Source

/mini-case-studies

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AI-GeneratedContentImplications&

Recommendations

•Implications

–By2027,Nearly50%ofoutboundmarketingmessagesfromlargeorganizationswillbesyntheticallygenerated;upfromlessthan5%today.

–Broadspectrummarketingandadvertisingsupport:copy,images,videodrivingmassivedisruptiontointernalandthird-partymarketingecosystems.

–Sametechnologycanbeputtomisuseandcanleadtocreationoffakenewsandpropaganda.

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AI-GeneratedContentImplications&

Recommendations

•Recommendations

–BuildtransformationalgenerativeAIdomain-specificsolutionsbyapplyinggenerativeAItoinformation-drivenprocesses.

–Includeveracityandvalidationaspartofyourofferingsinlinewiththeriskprofileofyourkeybusinessusecases.

–EnsureresponsibleandethicaluseofAIbybeingtransparent.Amendprivacydisclosurestoincludeinformationabouttherolethesetoolsplayinshapingdigitalexperience.

NovelMolecule&

CompoundDiscovery

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GenerativeAIforNovelMoleculesandCompounds

Deepgenerativemodels,suchas:

•Generativeadversarialnetworks(GANs)

•Variationalautoencoders(VAEs),and,

•Deepreinforcementlearningalgorithms,

areutilizedtogeneratenovelmolecules,

optimizeexistingcompounds,andpredict

propertiesandactivitiesofpotential

drugs,chemicalsandmaterials.

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NovelMoleculeandCompoundsUseCases

Drugdiscovery

Food&Beverage

Materialscience

ConsumerPackedGoods

Representativevendors

•Standigm

•Iktos

•Chempass

•IBM

•Insilico

NovelMoleculeandCompoundsImplications&

Recommendations

•Implications

•Faster,cheaperandexpandeddiscoverypotentialtomassivelyadvancehumanhealth;Lowercostsmeanpharmaandbiotechmakemorebets

•Massivefundraisingandlesscost-intensiveinvitroworkareloweringcapitalbarriersforstartupdiscoveryefforts.

•Afast-growingbodyoftreatmentsenteringpreclinicaltrialsoverthelastfiveyears.

•Recommendations

•Sellingpicksandshovelsforthegoldrush,isthenewgoldrush.Technologystacks,consultingandmanagedservicesforFoundationModels(as-a-Service).

•CapitalizeonthevalueofIPgeneratedandsecurecontingentrevenuefromroyalties,out-licensing,JVsorbecomingasset-owning.

•Pursuespecific,high-valueusecasesthataredirectlyalignedwithspecificdiscovery

programs.

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Recommendations

•Focusonpotentialusecasesthataremostimportanttoyourinstalledbase,andprioritizespecializedindustryanddomainsolutionswhenincorporatinggenerativeAIinyourproducts.

•Thekeytosuccessistoquantifyvalueandimpactforyourprospects.

•DevelopnewproductandservicecatalogsfocusedonexistingcustomerdataassetstooperationalizeFoundationModel-basedvalue.

•Aggressivelypartnerwithinnovative,generative-nativecompaniestoacceleratecustomervalue.

•Investigateanacquihirestrategywhichoffersintellectualpropertyandscarceskillsets.

Askthespeaker

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GartnerCIO

LeadershipForum

11–12July2023|Tokyo,Japan

26–27February2024|Phoenix,AZ

26–27March2024|Hollywood,FL

GartnerCIOLeadershipForumisan

unrivaledexperience—aplacewhere

you’llaccessthemosttimelyadvice,

actionabletoolsandCIOpeerinsightsto

adaptfasterandstayaheadofchange.

Learnmore:/conf/cio

RegisterwithcodeWEBINAR

foranexclusivediscount.

©2023Gartner,Inc.and/oritsaffiliates.Allrightsreserved.

Atthis

year’sconference,you’lllearn:

Shortandlong-termstrategiestoleadyouand

yourteamtosuccessindynamictimes.

Reshapeorganizationalstructuresand

attitudesforgreateragility

Engagepeerstoco-createwaysofworkingthat

removedigitalfrictiontospeedbusiness

outcomes.

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TopTrendsforTech

Providersin2023

Explorethetoptrendsproductleadersmustevaluate

acrossalldimensionsoftheirbusiness.Thesetrends

aretheeffectsofthreebroadthemesgroupedbelow:

•Increasedrelianceontech

•Opportunitiesthroughnewtech

•Impactofmacroforces

DownloadtheResearch

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