版权说明:本文档由用户提供并上传,收益归属内容提供方,若内容存在侵权,请进行举报或认领
文档简介
pWC
AIattheheart
oftourismand
hospitality–poweringpersonalisation,
efficiencyandgrowth
Tableofcontents
01Executivesummary&keyfindings01
02Asectorintransformation–challengesandopportunities
intourismandhospitality04
03Surveyfindings:Aneedforbetterintegration07
04Avoidingthepitfalls:WhatnottodowhenimplementingAI15
05Whatdoleadersintourismandhospitalityneedtothinkabout?18
References24
Aboutus25
PwC1
01|Executivesummary
01
Executivesummary
Asartificialintelligence(AI)movesfromexperimentationtonecessity,itisredefininghowthetourismandhospitalityindustrycompetes,operatesandgrows.
Astrategicenablerofcompetitiveness,AIisdrivingefficiency,sustainabilityandinnovationacrossthesector–transforminglegacysystems,anticipatingguestpreferencesandoptimisingperformanceinrealtime.
Asthetechnologyadvances,itwillpowersmarter,moreresponsive
destinationsthatadaptdynamicallytovisitorneeds,enhanceresource
managementanddeliverseamless,intuitiveandmemorableexperiences.
AcrosstheMiddleEast,countriesarerapidlydeployingAIandsmartdigitaltechnologiestoelevatevisitorexperiencesandstrengthentourismand
hospitality’scontributiontonationaleconomictransformationagendas.
InSaudiArabia,AIiscentraltoVision2030’sambitionofwelcoming150m
annualvisitorsandincreasingtourismandhospitality’sshareofGDPfrom3%to10%.1
Similarly,theUAEispositioningitselfasagloballeaderinAI-powered
tourismandhospitality,usingdataanddigitaltoolstoenhancethetourismandhospitalityexperience,supportsecuredataexchange,providereal-timeinsightsforthetourismandhospitalitysector,andstrengthensustainablesmartcitypractices.2
Tobetterunderstandthepaceanddirectionofthistransformation,PwC
MiddleEastconductedasurveyofC-suiteandseniorleadersfromleading
tourismandhospitalityorganisationsacrosstheregion–representinghotelgroups,investors,travelproviders,digitalplatformsandgovernmententities.
ThisreportexaminesthecurrentstateofAIadoptionintourismandhospitality,
theoperationalchallengesbusinessesareaimingtosolve,thebarrierstoscaling
andimplementationandtheAIsolutionswiththegreatestpotentialtodrivecosttransformation,revenuegrowthand
enhancedguestexperience.
Acrossthetourismandhospitality
ecosystem,AI’simpactspansfourcriticalareas:Guestexperience,operationsand
datainfrastructure,humanresourcesandchannelmanagement–allconvergingonasinglestrategicoutcome:reputation.
Thefindingsrevealasectorinmotion,whereAIadoptionisadvancingbutuneven:
and
Yet,only
91%
85%
3%
ofrespondentsare
reportmeasurable
haveachieved
alreadypilotingor
gainsincostsavings
full-scale
usingAI
andefficiency.
implementation.
Themainobstacles
Legacysystems
AItalentshortages
Dataprivacyconcerns
85%
73%
64%
01|ExecutivesummaryPwC2
TheinsightsfromthisstudyformthebasisofaclearandactionableroadmapforAIadoptionacross
threekeystakeholdergroups:
Policyanddestinationstewardship
Governments,regulatorsandDMOsshapingnationaltourismstrategies.
Operators
Hotels,investorsandmanagementcompaniesleadingon-the-groundtransformation.
Intermediariesandenablers
Travelagenciesanddigitalplatformsconnectingserviceprovidersand
travellers.
Asthetravelandtourismandhospitalitysectorheadstoward2030,AIstandsatthecoreofitsevolution,makingjourneyssmarter,experiencesricher
anddestinationsmorecompetitive.ThefutureofAIintourismliesnotinreplacingthehumantouchbutinamplifyingit–blendingautomationwithauthenticitytodelivermoremeaningful,memorableexperiences.
01|ExecutivesummaryPwC3
Keyfindings
Provenimpact
85%
reportmeasurable
improvementsin
costsavingsand
operationalefficiency.
Widespreadadoption,
limitedscale
91%
ofsurveyrespondentsarepilotingoralreadyusingAI,yetonly3%haveachievedfull
enterprise-wideimplementation–highlightingsignificantpotentialforscaling.
Infrastructurechallenges
85%
Skillsgap
73%
facedifficulties
integratingAI
toolswithoutdatedtechnologysystems.
citeashortageofemployeeswithAIexpertiseor
experienceinmanagingdigitaltransformation.
Dataandcomplianceconcerns
64%
expressongoing
challengesrelatedto
guestdataprotection
andregulatorycompliance.
Focused
investment
74%
oforganisationsnowhave
dedicatedAIbudgets,signallingashiftfromexperimentationtostructured,strategicadoption.
02|Asectorintransformation–challengesandopportunitiesintourismandhospitalityPwC4
02
Asectorintransformation–challengesand
opportunitiesintourismandhospitality
Tourismandhospitalityfaceaperfectstormofdisruption.Global
institutionssuchastheOECD3highlightheadwindssuchasrisingcosts
andinflation,geopoliticaluncertaintyandenvironmentalpressuresaskeyconstraintsforthesector.Whiletheseforcescreatecomplexity,theyalsoacceleratetheneedforinnovationandresilience.Inthisenvironment,
AIofferstransformativepotentialbyhelpingtheindustryreducecosts,generaterevenueandreimaginetheguestexperience
PwC’sanalysishasrevealedthatthegreatest
opportunitiesforAIadoptionclusteraroundfourinterconnectedfocusareasthatshapethe
industry’sfuture:
Guest
experience
Operations
anddata
infrastructure
Human
resources
Channel
management
02|Asectorintransformation–challengesandopportunitiesintourismandhospitalityPwC5
tation
Today’stravellersarenolongersatisfied
Thesectorcontinuestofaceaglobal
withstandardisedofferings.They
talentcrunch.Labourshortages,high
expectseamless,hyper-personalisedand
turnoverandwideningskillgapsare
authenticexperiencesdesignedaround
stretchingservicequalitymargins.AI
theirpreferences.Yetmanytourismand
presentsapowerfulopportunityto
hospitalitybrandsstruggletokeepup.
empowerpeople,notreplacethem.From
Rapiddigitalevolutionhaswidenedthe
adaptivelearningplatformsthattailor
gapbetweenwhatguestswantandwhat
trainingtoeachemployee,topredictive
manyoperatorscandeliver.AIbridges
schedulingandworkforceanalytics,
thisgapbyanalysingreal-timedatato
AIhelpsorganisationsbuildresilient,
anticipateneeds,tailorinteractionsand
capableteamsreadyforadigitalfuture.
deliverintuitiveservice.Usedresponsibly,
Byembeddinglearninganddevelopment
AIcantransformpersonalisationintoan
intodailywork,tourismandhospitality
invisibleadvantage–enhancingloyalty,
leaderscantransformtheirworkforce
satisfactionandultimately,
fromreactivetofuture-readyand
brandreputation.
engaged.
Guest
Operationsanddata
experience
infrastructure
Meetingrisingexpectations
Rebuildingtheworkforceforthefuture
Human
Repu
Channel
resources
management
CompetingintheageofAIagents
Fromfragmentationtointelligence
Thedigitallandscapeoftourismand
Behindeveryguestexperience
hospitalityischangingfast.Travellers
liesawebofoperationalsystems
nowdiscoverandbookexperiences
–bookings,payments,customer
throughAIplatformsandassistants,
data,logistics,manyoutdatedand
oftenbypassingtraditionalchannels.
disconnected.Theselegacysystems
Thisdisintermediationcreatesriskfor
limitvisibilityandslowdecision-
intermediariesandopportunityfor
making,makingithardertoextract
operators.AIcanhelporganisationsstay
valuefromdata.AIcanunlock
visibleandcompetitivebyoptimising
operationalexcellencebyconnecting
pricing,managingreputationand
systems,automatingprocessesand
strengtheningonlinepresence.Smart
generatingpredictiveinsights.This
channelmanagementisnolongerjust
shiftfromfragmentedoperationsto
aboutdistribution;it’saboutcreatingan
intelligent,data-drivenmanagement
integrateddigitalecosystemwhereevery
allowsforresourceoptimization,
guestinteractiononlinebecomesadata
increasedefficiencyandelevationof
pointthatfuelscontinuousimprovement.
front-andback-of-houseexperience.
Acrossallfourfocusareas,reputationemergesastheconnectiveforce–theultimatereflectionofhowwell
organisationsmeetexpectations,delivervalueandbuildtrust.Itisboththeoutcomeandtheamplifierof
success–shapedbyeveryguestinteraction,employeeengagementandoperationaldecision.AIenhancesthisdynamicbyensuringconsistency,responsivenessandtransparency–enablingbrandstolistenbetter,actfasteranddeliverwithauthenticity.
“
PwC6
TorealiseAI’spromise,theindustrymustmovebeyondpilotsandproofsofconcept.
Trueimpactcomeswhen
intelligenceiswovenintoeverydecision–empoweringteams,
optimisingsystemsandelevatingexperiences.Theleaderswho
turnAIfromatoolintoan
organisationalmindsetwillshapethenexteraoftourismandhospitality.
MoussaBeidas
AIGo-to-MarketLead&FutureImpactCenterCo-Sponsor
PwCMiddleEast
03|Surveyfindings:aneedforbetterintegrationPwC7
03
Surveyfindings:aneedforbetterintegration
3.1
AIisfoundationalbutnotyetfullyscaled
Oursurveyfindingsrevealthatasignificant94%ofregional
tourismandhospitalityleadersarealreadyexperimentingwith
AI,pilotingspecificusecases.Thismarksadecisiveshiftfrom
explorationtoearlyimplementation.However,surveydataalsoindicatesthat71%ofrespondentshavelessthan3%oftheir
annualbudgetallocatedtoAI-relatedinitiatives–indicatingthatwhileAIisonthestrategicagenda,itisnotyetamajorinvestmentpriority.
Acloserlookatadoptionmaturityshowsthatjustoverhalf
(51%)oftherespondentsreportonpartialAIimplementation,indicatingthatAIispresentbutnotyetenterprise-wide.Another40%arestillinthepilotphase,ratherthanbroadadoption–
testingAIforspecificusecasessuchasguestpersonalisation,predictiveanalyticsorcustomerserviceautomation.Only3%haveachievedorganisation-wideAIdeployment,underscoringasignificantopportunitytoscaleprovenpilotsintobroader
businessoperations.
94%
ofregionaltourismand
hospitalityleadersare
alreadyexperimentingwithAI,pilotingspecificusecases.
03|Surveyfindings:aneedforbetterintegrationPwC8
3.2
Intelligenceisthenewdifferentiator–howisAIbeingleveragedbyleaders?
63%ofrespondentsareusingorplanningtouseAIembeddedincorehotelsystems.
Analmostequalnumber(60%)statedtheyarecollaboratingorplanningtocollaboratewithstartupsonAIinitiatives,whileonly11%wereworkingwithgovernments
indicatingregulatoryuncertaintyandcompliancehurdles.
94%
60%
11%
6%
Areyoucollaborating/planningtocollaboratewithexternal
partnersforAIinitiatives?
Yes,withestablishedvendors
Yes,withstartups
Yes,withgovernments
No,developingsolutionsin-house
Historically,mostAIadoptionintourismandhospitalityhasfocusedonautomation–
streamliningrepetitivetaskslikecheck-ins,pricingupdatesorcustomerqueries.Now
industryleadersareprioritisingGenerativeAI(GenAI),PredictiveAnalyticsandSmartSensors/IoT–indicatingthatbusinessesarenowmovingbeyondefficiencygainstowardintelligentdecision-makingandpersonalisedguestexperiences.Itmeanshotels,resortsandtraveloperatorswillincreasinglyuseAItoanticipateguestneeds,personalise
experiencesandoptimiseoperationsinrealtime,ratherthansimplyreactingtothem.
Accordingtosurveyfindings,89%and86%ofrespondentswillprioritiseGenAIand
predictiveanalyticsinthenextonetotwoyears,respectively.WhileGenAIwillenable
hyper-personalisedmarketingandseamlessservicedesign;predictiveanalyticswill
refinedemandforecastingandrevenuemanagement;andsmartsensorswillcreatemoreresponsive,sustainableenvironments.Collectively,thesetechnologieswillredefine
Whattechnologieswillyouprioritizeinthenext12-24
Roboticsprocessautomation
43%
months?
Voiceassistants
23%
Computervision
20%
competitivenessintheregion’stourismandhospitalitysector–positioningtheMiddleEastasapioneerofintelligent,data-driventourismexperiencesthatblendoperationalexcellencewiththeregion’shallmarkofexceptionalservice.
GenerativeAI
Predictiveanalytics
Smartsensors/IoT
49%
89%
86%
03|Surveyfindings:aneedforbetterintegrationPwC9
3.3
AI’simpactoncostandrevenue
WhenassessingAI’soperationalimpact,85%ofrespondentsreported
moderatetosignificantcostsavingsandefficiencygains.Thisalignswithfindingsfrom
PwC’s28thCEOSurveyMiddleEast
,where68%ofGCC
85%
ofregionaltourismand
hospitalityleadersreported
moderatetosignificantcost
savingsandefficiencygainsfromAIimplementation
CEOsacknowledgedimprovedefficienciesintheirowntimeatwork(vs.53%globally)and63%reportedefficienciesinemployees’time(vs.56%globally).
WhenaskedaboutAI’sinfluenceonrevenue,only3%ofleadersfoundAI’stransformationalimpactonrevenues,6%werewellimpacted,39%reportedmoderateimpact,nearlyhalf(46%)wereslightlyimpactedand6%sawnoimpactonthecompany’srevenues.
Thisdisparitybetweencostandrevenueoutcomeshighlightsanimportantreality:AI’scommercialupsideinthetourismandhospitalitysectoris
stilldeveloping,asmostimplementationsareconcentratedonimprovingefficiencyratherthandrivingnewrevenuestreamsorguest-facing
innovation.
03|Surveyfindings:aneedforbetterintegrationPwC10
3.4
TheprimarydriversofAIadoption
AIadoptioninthetourismandhospitalitysectorisbeingdrivenprimarilybyafocusonenhancingthecustomerexperience,
with97%ofrespondentscitingitastheirmainmotivation.Thisunderscorestheindustry’scommitmenttopersonalisingguestinteractionsthroughdata-drivenengagementintheregion.
Tocreatepersonalised,immersiveandfrictionlessvisitor
experienceswhilesupportingtheKingdom’sbroadereconomic
diversificationagenda,KingdomofSaudiArabiaisrapidly
advancingtheuseofsmarttechnologies4suchasAI,augmentedreality(AR)andvirtualreality(VR).Theuseofintelligentsystemshelpsanticipateandrespondtotravellers’needsinrealtimeandmarksastepbeyondtraditionaldigitalsolutions.
IntheUAE,AI-drivenpersonalisation,contactlesscheck-in
andmobile-firstguestservicesaresettingnewbenchmarksforspeed,convenienceandreliability.Successfulhoteloperatorsareunifyingdata,operationsandstaffaroundacleardigitalvision.
Beyondguestengagement,over70%ofhoteliersidentify
operationalresilienceandemployeeproductivityaskeydrivers,reflectingagrowingrecognitionofAI’sroleinstrengthening
internalefficiencyandworkforceeffectiveness.
Meanwhile,morethan60%ofinvestorsviewAIasameanstodifferentiatefromcompetitors,signallingitsemergingroleasastrategicleverformarketadvantage.
Other
Regulatorycompliance
WhatisthemaindriverofyouAIadoption?
Differentiation
Reducingcosts
Enhancingemployeeproductivity
76%
97%
Improvingoperationalresilience
Enhancingcustomerexperience
64%
67%
73%
3%
9%
03|Surveyfindings:aneedforbetterintegrationPwC11
3.5
CurrentAIusecases
Thepersonalisationoftheguestexperienceemergesasthe
leadingAIusecase,citedby57.6%ofrespondents.ThisreinforcestheimportanceofpersonalisationasthecornerstoneofAI-driventransformationintourismandhospitality.Secondaryapplicationssuchasforecasting,customerserviceandrevenuemanagementaregainingtraction,withjustunder40%oforganisations
prioritisingtheseareastooptimiseoperationsandimprovedecision-making.
However,theadoptionofback-endandlonger-termapplicationsremainslimited.Areassuchasenergymanagement,asset
management,marketingandloyaltyanalytics–eachregister
usageratesbelow25%,highlightinganopportunityfor
theindustrytoexpandAIdeploymentbeyondguest-facing
experiences.Thisunevendistributionsuggeststhatwhile
tourismandhospitalityplayersareadvancinginfront-enddigitalengagement,theintegrationofAIintoenterprise-levelfunctionsisstillatanearlystageofmaturity.
Amongtheseunderusedareas,assetmanagementrepresentsoneofthestrongestopportunitiesforvaluecreation.AIhas
thepotentialtotransformassetmanagementfromamanual,retrospectiveprocessintoapredictiveandstrategicdiscipline.
ByintegratingwithsystemssuchasPMS,POS,andaccounting
platforms,AIcanautomatereconciliation,flaganomalies,and
deliverreal-timeperformanceinsights.Withintegratedand
standardiseddata,assetmanagerscanshiftfromdatacollectiontohigh-impactanalysis,usingAItobenchmark,forecast,and
identifyopportunitiesacrossportfolios.Theresultisgreater
efficiency,precisionandassetperformance,asmanagersfocusonstrategic,high-valuedecisionsratherthanspreadsheets.
Payments
Security,surveillanceandloss-preventionanalyticsBack-officeoptimisation
Food&beverageinventoryandwastereductionProcurementoptimisation
Colleaguetrainingandonboarding
WhatarethetopthreeareaswhereAIiscurrentlyis
beingusedinyourbusiness?
Socialmedia
Loyalty&CRManalyticsMaintenanceandassetmanagementEnergyandsustainabilitymanagement
MarketingandtargetingForecasting
Customerservice RevenuemanagementPersonalisationofguestexperience
3%
3%
6%
6%
6%
6%
9%
18%
18%
24%
24%
39%
39%
39%
97%
03|Surveyfindings:aneedforbetterintegrationPwC12
3.6
GaugingtheAIpreparedness
Whenitcomestoreadiness,80%ofrespondentsreportfeeling
80%
ofregionaltourismand
hospitalityleadersreporttobemoderatelytowellpreparedforAIadoption,withthemajoritymostacknowledgeexisting
capabilitygapsasachallenge
moderatelytowellpreparedforAIadoption,reflectingabroadlypositiveoutlooktowardintegration.However,mostorganisationsacknowledgeexistingcapabilitygaps–includinglimitedinternalexpertise,workforcereadinesschallengesandaneedforclearerimplementationframeworks.
Adeeperlookrevealsthatonly8%ofleadersfeelfullypreparedfor
AI,while11.5%considerthemselvesslightlypreparedornotpreparedatall.Thissplitunderscoresacapabilitydividebetweenorganisationswithestablisheddigitalinfrastructuresandthosestillbuilding
foundationalreadiness.Asaresult,whileenthusiasmforAIadoptionishigh,thejourneytowardfull-scaleimplementationremainsuneven,pointingtotheneedfortargetedinvestmentinskills,governance,andorganisationalchangemanagementtofullycaptureAI’spotential.
03|Surveyfindings:aneedforbetterintegrationPwC13
3.7
Barrierstoscaling
DespitegrowingenthusiasmforAIadoption,thetourismandhospitalitysectorsface
significantstructuralandcapabilitybarriersthatconstrainscalabilityandimpact.Themostfrequentlycitedchallengeisintegrationwithoutdatedlegacysystems,reportedby85%ofrespondents.TheselegacyplatformslimittheabilitytoprocessdatainrealtimeandhinderseamlessdeploymentofAIsolutionsacrossoperations–afoundationalissuethatmustbeaddressedforthesectortoprogresstowardfullAImaturity.
Talentshortagesremainaclosesecond,notedby76%ofrespondents.Theindustry
continuestostrugglewithawideningskillsgap,highturnoveramongdigitalprofessionals,andlimitedinvestmentinupskilling.Withoutdedicatedstrategiestoattract,retainand
developAIexpertise,hotelsriskbecomingoverlydependentonexternalvendors,which64%oforganisationsalreadyviewasagrowingconcern.Overrelianceonvendorsnot
onlyinflateslong-termcostsbutalsothreatensinnovationcontinuityifin-housetechnicalcapabilitiesarenotdeveloped.
Workforcecapabilityis,therefore,criticaltoAIadoption.Surveyfindingshighlightthatasignificant60%ofrespondentsdedicatebetween10-25%oftheirAIbudgettoupskillingemployees–indicatingthattechnologyinvestmentaloneisnotenoughwithoutequippingemployeestoworkeffectivelywithAI.
Cybersecurityanddataprivacyrisks,citedby64%ofrespondents,furthercomplicate
adoption,reflectingheightenedsensitivityaroundguestdataandregulatorycompliance.Employeebuy-in(61%)andcustomertrust(58%)alsoemergeascriticalsoftbarriers,
underscoringtheimportanceofchangemanagementandtransparentcommunicationaroundAIuse.Meanwhile,budgetlimitations(46%)andlackofAIstrategyalignment(42%)representmoderatebutpersistentchallenges,highlightingtheneedforstrongerstrategicintegrationbetweenbusinessandtechnologyfunctions.
Interestingly,regulatorybarriersappearlessimportant,citedbyonly15%ofrespondents,indicatingthatthemainhurdlestoscalingAIareinternalratherthanexternal.Collectively,thesefindingsrevealthattechnologyinvestmentaloneisinsufficient–trueprogress
dependsonmodernisinginfrastructure,buildinghumancapabilityandembeddingrobustdatagovernanceframeworkstoensureAIdeliversmeasurable,sustainablevalue.
youforeseeinscaling
AIinyourorganisation?
15%
12%
Employeebuy-in
Customertrustandacceptance
Regulation
Other
76%
Talentshortages
64%
Cybersecurity
Over-relianceonvendors
64%
58%
61%
Whataretheissues
“
PwC14
AIisredefininghowdestinations,hotelsandtravellersconnect.Thewinnerswon’tbethosewhocollectthemaximumdata,butthosewhouseitintelligently–tomakeeveryinteractionseamless,ethicalandvaluable.Forindustryleaders,thismeansmovingfromdisconnectedsystemstoconnectedintelligence,whereAIdoesn’treplacehuman
judgmentandinteraction,
butamplifiesittocreatetrust,
efficiencyandnewformsofvalueacrosstheentiretravelecosystem.Alsorequiringare-thinkonwhatkindoftalentishired,andhow
theyintegrateAIincreatinganddeliveryexperiences.
MarcoRentsch
HospitalityLeader,PwCMiddleEast
04|Avoidingthepitfalls:WhatnottodowhenimplementingAIPwC15
04
Avoidingthepitfalls:WhatnottodowhenimplementingAI
TheintegrationofAIissettotransform,notreplace,thehumanworkforcein
tourismandhospitality.Asignificant77%ofrespondentsbelievethatAIwill
createnewrolesandjobfunctionsoverthenextfiveyears,signallingashift
towardmorecollaborativehuman-machinemodelswithemployeesincreasinglyresponsibleforoverseeing,managingandoptimisingAIsystemstoensure
accuracyandalignmentwithguestexpectations.
Thisevolutionisalsoreflectedinthe91%ofrespondentswhoanticipatea
humanroletransformationtowardhigher-valuetasks.AsAItakesoverrepetitiveandroutineactivities,tourismandhospitalityprofessionalswillhavemore
capacitytofocusoncreativity,emotionalintelligenceandpersonalisedguest
engagement–areasthatdefinethehumantouchandcannotbereplicatedby
machines.Inthiscasetechnologywillenhance,ratherthandiminish,thecentralroleofpeopleindeliveringexceptionalguestexperiences.
PwC16
AIprojectsintourismandhospitalityusuallyfailon
integration,alignmentandexecution,notalgorithms.
Don’ttreatAIasanadd-on.AIisnotaplug-intoexistingworkflows,itreshapesthem.
Result
Organisationsthatonlyautomatetasksinsteadofredesigningprocessesseenomeasurablereturnoninvestment.
Avoid
Implementingisolatedtools(chatbots,dashboards)withoutaligningthemtostrategicKPIs,operatingmodelsanddecision-makingroutines.
Don’tbuildAIaroundweakfoundations.AIdeliverslittlevaluewhenorganisationstestsolutionsbeforemodernisingthe
foundationstheydependon.
Result
Disconnectedsystems,lowdataquality,poorintegration,andmodelsthatcan’tscaleordelivermeasurableimpact.
Avoid
Treatingintegrationasatechnicalafterthoughtorchoosingtechnology
beforemappingdatagaps,integrationneeds,anduserworkflows.AIdependsonclean,centralised,andinteroperabledata,withscalabletoolsalignedto
businessKPIsfromdayone.
Don’toverlookhumanreadiness.Technologyadoptionfailswhenpeopledon’ttrustorunderstandit.
Result
Resistance,misuseorunderuseofAIinsights.
Avoid
Rollingoutsystemswithoutbuildinginternalcapability,cross-functionalcollaborationandclearcommunicationaboutthevalueAIdelivers.
Don’tscalewithoutagovernanceplan.ScalingAIrequiresstructure,notmomentum.
温馨提示
- 1. 本站所有资源如无特殊说明,都需要本地电脑安装OFFICE2007和PDF阅读器。图纸软件为CAD,CAXA,PROE,UG,SolidWorks等.压缩文件请下载最新的WinRAR软件解压。
- 2. 本站的文档不包含任何第三方提供的附件图纸等,如果需要附件,请联系上传者。文件的所有权益归上传用户所有。
- 3. 本站RAR压缩包中若带图纸,网页内容里面会有图纸预览,若没有图纸预览就没有图纸。
- 4. 未经权益所有人同意不得将文件中的内容挪作商业或盈利用途。
- 5. 人人文库网仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对用户上传分享的文档内容本身不做任何修改或编辑,并不能对任何下载内容负责。
- 6. 下载文件中如有侵权或不适当内容,请与我们联系,我们立即纠正。
- 7. 本站不保证下载资源的准确性、安全性和完整性, 同时也不承担用户因使用这些下载资源对自己和他人造成任何形式的伤害或损失。
最新文档
- java扫雷游戏课程设计
- 2025年兴业银行天津分行校园招聘备考题库含答案详解
- 2025西藏昌都澜沧江投资有限责任公司招聘1人考试核心题库及答案解析
- 2025贵州六枝特区人力资源和社会保障局招聘城镇公益性岗位2人备考核心题库及答案解析
- 2025年西藏革吉县财政局招聘财会监督人员的备考题库参考答案详解
- 2025云南保山隆阳区红十字会招聘公益性岗位人员1人笔试重点题库及答案解析
- 2025年智能仓储物流信息追溯系统在物流行业智能客服技术应用可行性报告
- 2026广西桂林市恭城瑶族自治县兵役登记考试备考题库及答案解析
- 2025年十堰市公安局武当山旅游经济特区分局招聘辅警备考题库参考答案详解
- 2025恒丰银行南京分行社会招聘29人考试重点题库及答案解析
- 2023年全市中职学校学生职业技能大赛
- 毕节市织金县化起镇污水处理工程环评报告
- 河流动力学-同济大学中国大学mooc课后章节答案期末考试题库2023年
- 仓库安全管理检查表
- 岭南版美术科五年级上册期末素质检测试题附答案
- 以执业医师考试为导向的儿科学临床实习教学改革
- 一年级上册美术测试题
- 常用兽药配伍禁忌一览表
- 人口结构演变对人身保险需求的影响分析
- 质量检测见证取样送检监理实施细则
- 叉车日常保养检查记录表
评论
0/150
提交评论