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Leadership
intheAgeofAI
Enzehnder
1
INTRODUCTION
Theageofartificialintelligence(AI)haseruptedintoourworld,markingitspresencewithstrikingadvancements.AImodelsaredemonstratingnewcapabilitiesalmostdaily,tothepointwherethequestionisnolongerwhatAIcandobutratherwhatitcan’t.Unlikethehypearoundthemetaverseorblockchaintechnology,AIisalreadydrivingbottom-lineresultsacrossmultiplesectors.AmultidisciplinaryteamofresearchersatMITSloanhasprovedanunprecedentedboostofupto40%inhighlyskilledworkers’performancethroughtheuseofgenerativeAI*;potentiallyaddingtrillionstotheglobaleconomy.Thismonumentalshiftwillchangethewaypeoplework,learn,andcommunicateandhasthepotentialtoshakeupentireindustries—evensocietyitself.
“AIhasjoinedthelistofrapidchangesandchallengespeoplearefacingtoday.Itisnosurprisethenthatmanyareasking‘HowdoIadapt?”
JudithWiese,Siemens
“Disruptionisinevitableinanysignificant
technologicalchange.It’scrucialforinnovation
andconstantadaptationandprogress.”
PatrickTrippel,InventusPower
2
Despite,orperhapsbecauseof,theendlessopportunitiesAIpromises,anxietyandexcite-mentoverthedisruptiveroleitwillplayarerunninghigh.Onethingiscertain:ensuringthatyourorganizationispreparedfortheneweraofAIisnolongeroptional.Thequestionnowis:areleadersreadytorisetothechallengeandprovidethevisionandadaptabilitytoseizetheopportunities?
Toanswerthisquestion,EgonZehnderandKearneypartneredtoengage100executivesinasurveyacrossfourcountriesandsixsectors,gaugingtheirviewsonhowpreparedtheirorganizations,andtheythemselves,areforthecomingAIera.Weconductedovertwodozeninterviewswithleaderstorefineourfindingsfurther.Weheardthatleadersover-whelminglyseeAIasanopportunity,morethanarisk,butthatleadersfeelthepathtosuccessisstillunclear.Harnessedforgood,AIoffersendlesspossiblesolutionstothemanyconvergingcrisesleadersnavigatetoday.
ThisreportprovidesinsightsintohowexecutivesanticipateAIwillimpactorganizations,jobs,andtheirrolesandhowpreparedtheyfeeltoleadthroughthisunprecedenteddis-ruption.Wewillexplorefactorsanddriversofleadershipandorganizationalreadinessthatcouldguideleadersamidsttheinevitabletechchangeahead.
*GenerativeAI(GenAI)referstodeep-learningAImodelsthatcangeneratehigh-qualitytext,
images,andothercontentbasedonthedatatheyweretrainedon.
3
2
THEAI
OPPORTUNITY
5
6
INSIGHTAttitudestowardAIarepositive—leadersseeit
asanopportunitymorethanarisk
ExecutivesarekeenlyawareoftheopportunitiesthatAIcouldpresent.Specifi-
cally,theseopportunitiesrelatetoAIapplicationsthatcouldsupportorreplace
officejobs,includingmachinelearning,naturallanguageprocessing,expertsys-
tems,andgenerativeAI.Morethan90%agreethatAIrepresentsanopportunity
forthemintheirrolesratherthanarisk.LeadersarealsoconfidentthatAIis
anopportunityfortheirorganization,with85%seeingAIasanopportunityto
improvetheirorganization’scapabilities(seeFigure1).
“NobodyhasarealclueaboutAI’struemagnitude
andend-state.”
MartinBrudermüller,BASF
“AIisnotaboutdisruption,itisaboutopportunities.”
DavidR.Hardoon,Aboitiz
Ontheonehand,thesignificantopportunityidentifiedbyleaders,bothfortheirroleandfortheirorganizationasawhole,wastheincreasedefficiencythattheeffectiveuseofAIcouldbring;aroundthree-quartersidentifiedthisasanopportunityfortheirroles,withasimilarnumberidentifyingitasanopportunityfortheirorganization.OtherAIopportunitiesthatexecutivesidentifiedincludedmoreeffectivedecision-making,improvedriskmanagement,andthecreationofinnovativeproductsandservices.
Ontheotherhand,respondentswerealerttothepotentialrisksassociatedwithAI.‘Workforcedisplacement’and‘dataprivacy&security’emergedasthetwomainconcernsforleaders—withregardtoboththeirindividualrolesandtheirorganizations(seeFigure2).
7
9
Chance
Risk
15
Chance
Formeinmyrole/position,IseeAIprimarilybeinga:
Risk
%ofparticipants
91
8
Figure1
Formyorganization’scapabilities,IseeAIasprimarilybeinga:
%ofparticipants
85
Figure19
ROLE
ORGANIZATION
Chance(%ofparticipants)
Efficiency
Decision-making
Riskmanagement
Innovativeproducts/services
Competitiveadvantage
Consumerexperience
Other
Risk(%ofparticipants)Workforcedisplacement
Dependence&reliability
Bias&fairness
Dataprivacy&security
Transparency&interpretability
Other
Regulatorycompliance
73
57
48
47
44
36
7
78
60
57
54
51
43
5
WorkforcedisplacementDataprivacy&securityDependence&reliability
Bias&fairness
Regulatorycompliance
Transparency&interpretability
Other
5
5
5
5
3
2
1
Chance(%ofparticipants)
Efficiency
Innovativeproducts/services
Competitiveadvantage
Consumerexperience
Decision-making
Riskmanagement
Other
Risk(%ofparticipants)
10
10
8
8
6
6
D2
10
11
Figure2Figure2
12
“Thefearof[AI’s]failureisaconcern,butisheavily
outweighedbytheopportunityitpromises.”
MarkRose,AvisonYoung
“AIisgoingtobebigandwillimpacteverything!”
LiorRon,UberFreight
“EveryhumanworkingwithAIhasnotonly
thepowerbutalsotheresponsibilitytoevaluate
contentgeneratedbyAIcritically.”
CarstenKnobel,Henkel
LeadershipintheAgeofAI
“Regulatorsneedtosettherightframe,whichisarisk-freeenvironmenttotestandscaleandthenpair
withappropriateincentivesandregulationatreal-lifeadoption.”
MartinBrudermüller,BASF
“Middlemanagementisunderpressure.Inthepast,youwerepromotedforyourknowledge,butthere’s
anewexpertintown—AI—anditknowswhatyouknowandmore.Connecting,engaging,andcollaborating—people-centricskills—willbecomeevenmorerelevantthanever.”
JudithWiese,Siemens
LeadershipintheAgeofAI
13
Withsomanyrisksandconsiderations,whereshouldleadersfocustheirconcerns?Amidstthechallengesofthecurrentpoly-crisis,itcanbedifficulttoidentifyandfocusonthemyriadofrisksassociatedwiththecurrentwaveofAI.Throughourexperiencewithclientsandresearch,wehaveidentifiedfourkeyrisksleadersshouldlookoutfor(seeFigure3).
•Datahallucination.WhilegenerativeAImodelsarehighlyaccurate,theyremain100%confident,evenwhenwrong.Thisprovestheinevitableneedfora“human-in-the-loop”processtoverifymodeloutcomescontinuouslyandisconfirmedbyoursurveyresultsindicatingaconcernaround‘dependenceandreliability.’
•Ballooningcosts.AsthedatavolumesstoredbyAIplatformsrise,sodothecollection,storage,andprocessingcosts.Moreefficientdatamanagementtechniquescanhelpmitigatesomeimpact.Theconcernaroundcostsclearlyemergedfromourconversationswithleaders,eventhoughwedidnotaddressitinthesurvey.
•Risksfromthird-party(3P)services.Relyingon3Pservicesforhandlingsensitivedataandcompliancecanexposebusinessestorisks,particularlyifsecuritymeasuresarelaxorstandardsareinconsistent.Tosafeguardagainstthesevulnerabilities,conductingduediligenceon3Pproviderscarefullyisessential,aswellasenforcingstrongdataprotectionpracticesandcontractsthatclearlydefinerolesandresponsibilities.
14
•AI’sbias.ThequalityofanAImodel’soutputisdirectlylinkedtothedatait’strainedon.Ifthetrainingdataisnotabalancedreflectionofthereal-worlddiversityitistryingtorepresent,theAImaygeneratebiasedresults.EnsuringthatAIoperatesfairlyinvolvesselectingtrainingdatasetscomprehensivelyrepresentingthetargetoutcomes,thuspromotingunbiasedandreliableoutputs.
FourCommonRisks
Figure3
Risksfrom3Pservices
Potentialdatabreaches,
varyingcompliance
standards,etc.
Ballooningcosts
Risingcollection,storage,andprocessingcosts
Bias
Inaccuratepredictionresultsduetobaddata
Datahallucination
Misleadingoffabricateddata
15
INSIGHTExecutivesbelievethatsignificantchangewithin
theirorganizationsisonthehorizon,butlessfortheirindividualroles
BusinessleadersexpectAItobeamajordisruptiveforceinthenearterm,with70%ofrespondentsagreeingthatAIwilldisrupttheirorganizationwithinthenextfiveyears.How-ever,fewerexecutivesexpectthesamelevelofdisruptionwhenitcomestotheirownroles.LessthanhalfagreethatAIwilldisrupttheirroleinthenextfiveyears,whileathirdexpectnodisruption(seeFigure4).
Moreover,ourconversationswithleadersrevealedanticipationofatransformationalwavewithintheirorganizations,spurredbyAI;leaderspredicteditwouldreshapefuturebusinesslandscapes.DespiterecognizingthedisruptivepotentialofAI,especiallyinstreamliningoperationsandenhancingstrategicdecisions,manydonotforeseetheirindividualrolesundergoingsignificantchange.Thesentimentacrosstheboardsuggestsanawarenessofthenecessitytoadapt,withahintofcautionregardingthefullscopeofAI’simplicationsyettobefullygrasped.ThisreflectsameasuredoptimismaboutAI’sroleindrivingeffi-ciencyandcompetitiveedge,whileleadersalsoacknowledgethegapsintheirownunder-standingofAI’sfutureimpact.
16
BusinessleadersexpectAItobemoredisruptivetotheirorganizationthantothemselvesandtheirpositioninthenext5years
70
43
36
21
21
9
Disagree
Agree
NeitherAgree/Disagree
=Role
=Organization
Figure417
18
“AIhasahugepotentialtobetrulydisruptive.
ButIdon’tbelieveitwillfundamentallychangetheway
weoperateourbusiness;rather,itwillcreateahuge
value-addandbringammunitionsforefficiency,
fasterdecision-making,andotherbusinessoutcomes.”
RebeccaOldfield,Infineum
“Data-drivenjobprofiles,whichalreadyleverage
insightsbasedonmachine-drivendecisions,
willonlyexperiencelittlechangesfortheirleadership
throughAI.”
RolfSchumann,SchwarzGruppe
LeadershipintheAgeofAI
“InmyroleasCEO,Ineedtobearolemodeland
adriverforchange.Changealwaysstartsatthetop.Thisisacrucialbeliefinourculturaltransformation,
andIthinkyoucantransferthistotheadoptionof
disruptivetechnologiesaswell.Weneedtobereadywhenitcomestoallkindsofdisruptions,especially
whentheyhaveanimpactinthemagnitudeofGenAI.”CarstenKnobel,Henkel
LeadershipintheAgeofAI
19
3
HOWPREPARED
ARELEADERS—
ANDTHEIR
ORGANIZATIONS—
FORAI?
INSIGHTLeadersbelievetheirorganizationsareunpreparedfortheshift
So,doexecutivesfeelthattheyandtheirorganizationsarereadytonavigatethedisrup-tionsofAIwhileseizingtheopportunities?Oftheleaderssurveyed,only21%agreeandstronglyagreethattheirorganizationhasthenecessarycapabilitiestodealwiththeexpecteddisruptionofAIinthenextfiveyears(seeFigure5).Ingeneral,executivesseethemselvesasbetterpreparedtodealwiththedisruptionthantheirorganization,butstill,only40%agreeandstronglyagreethattheyhavethenecessarycapabilitiestodoso.Thistiesbacktoourfindingsregardingahigherexpecteddisruption,withtheunderstandingofleadersthatthisdisruptionwouldrequiresignificantresourcestobehandled.Inturn,leadersmayalsofeelbetterinformedthantheirorganizationsofwhat’stocome.
INSIGHTLeaders’understandingofAIiscritical,whilelackofsufficientresourcesisthebiggeststumblingblockforfeelingprepared
ThoseleaderswhobelievetheirorganizationispreparedforAI-relateddisruptionrecog-nizetheimportanceofleadership’sunderstandingofAIindrivingthatreadiness.Nearly90%agreethatleadership’sunderstandingwasacorereasonbehindtheirorganization’sreadiness.Otherfactorsidentifiedascontributingtoreadinessincludedculturalsupportofchange,with74%ofrespondentsagreeing;andtheallocationofsufficientresourcesincludingtime,money,andpeople(70%agreed).
22
Ontheotherhand,amongexecutiveswhobelievedthattheirorganizationwasunprepared,three-quartersthoughtthatthelackofreadinessstemmedfromalackoftime,money,andpeoplededicatedtobuildingreadinessforAIdisruption.Leadershipunderstandingalsohasaroletoplay:justoverhalfoftherespondentsagreedthatalackofleadershipunder-standingcontributedtoalackofreadiness(seeFigure6).
ItisworthemphasizingthatthearrivalofAIcomesatatimewhenleadersarealreadystretched,navigatingthemanychallengesthatorganizationsfacetoday.Thispoly-crisisgoesbeyondorganizationalorindustryboundaries—itextendstogeopolitics,polarizeddomesticpoliticsandrisingpopulism,andanexistentialplanetarycrisis.IfleaderscanreturntotheirvaluesinshapingthelandscapeforanAI-readyeconomyandsociety,AIcouldsolvehumanity’smanycrises.Implementedright,AIhasthepotentialtobeademoc-ratizingtool,usedinserviceofhumanity,andnotasaforcethaterodesit.
“OrganizationsandCEOsarenotreadyforAI
asthefull-fledgedimplicationsarenotyetunderstood.”BillAnderson,BayerAG
23
24
“Thereisaphaseofcuriosityatthebeginning
oftechnologicalchange,andalsowhatisbeing
communicatedaroundit,butthenleaders
needtomoveontocreatingavisionaryapproach,
withverytangibleexamples,sothatpeoplecan
starttounderstandthebenefits.”
BéatriceGuillaume-Grabisch,Nestlé
LeadershipintheAgeofAI
“Leadersareparticularlychallengedtodealwiththeperceivedlossofcontrolintheorganization.”MarianneJanik,Microsoft
“LeaderswilluseArtificialIntelligence,laggardsnot.Andofcourse:Youwillalwaysneedsmartpeople!”
BillAnderson,BayerAG
LeadershipintheAgeofAI
25
31938319
31717568
64133183
Executiveswhoexpecttheirroletobedisruptedreport
worsepreparationforexpecteddisruption
Ihavethenecessarycapabilitiesinmyrolefortheexpecteddisruption
ofAIinthenext5years
(%ofparticipants)
Disruption
expected
(64respondents)
Disruption
unexpected
(36respondents)
Disagree
Stronglydisagree
Stronglyagree
Agree
Neitheragree
nordisagree
26Percentagesmaynottotal100duetorounding.Figure5
Executiveswhoexpecttheirorganizationtobedisruptedreportworsepreparationforexpecteddisruption
Myorganizationhasnecessarycapabilitiesfortheexpecteddisruption
ofAIinthenext5years
(%ofparticipants)
Disruption
expected
(79respondents)
0
19
29
43
10
Disruption
unexpected
(21respondents)
Disagree
Stronglydisagree
Stronglyagree
Agree
Neitheragree
nordisagree
Percentagesmaynottotal100duetorounding.Figure527
28
Higherreadinessisreportedtobedrivenbyleadershipunderstandingwhilelackofpreparednessisreportedasduetoinsufficientresources
ExecutivesareconvincedtheirunderstandingofAIisamajordriverforAIreadiness(%ofparticipants)
Myorganizationisreadyforthedisruption,because:
Leadership
under-
standing
Sufficient
resources
(time,money,people)
Cultural
support
ofchange
4789
42670
7
19
74
Disagree
Agree
Neitheragree
nordisagree
Figure6
Executivesattributethelackofreadinessprimarilytoinsufficientresources(%ofparticipants)
Myorganizationisnotreadyforthedisruption,because:
Leadership
under-
standing
Sufficient
resources
(time,money,people)
Cultural
support
ofchange
173251
171073
59
15
26
Disagree
Agree
Neitheragree
nordisagree
Figure629
4
HOWCAN
ORGANIZATIONS
IMPROVE
AIREADINESS
TOPREPARE
FORTHEFUTURE?
INSIGHTStartingtodevelopastrategyisacrucialstepforincreasingorganizationalreadiness,butitisnotenoughonitsown
GiventheimportanceofleadershipindrivingpreparednessforthechallengesthatAIcouldbring,itisnosurprisethatleadersaretakingactiontoincreasetheirorganizationalread-iness.Toleadtheirorganizationthroughthischange,leadershavesharedpersonallearn-ing,orunderstandingofAI,asaninitialsteptobeabletoundertakeanychangeefforts.Attheforefrontoftheseeffortsisdevelopingastrategy—morethanthree-quartersofrespon-dentsaretakingthisstep,eventhoughthereisnoclearblueprintforleaderstofollow.Whileleadersmayfeelunsureofthenextstepsinthefaceofthetransition,itisclearfromourconversationsthatmakingastartwithadoption,evenamidstuncertainty,isbetterthannotstartingatall.
“Youbetterembraceitasabusinessleaderbecause,ifnot,yourcompetitionandtherestofthemarket
isgoingtoabsorbthenecessarydynamiccapabilitiesinreal-time,andyou’regoingtobelethargicandleftbehind.”
RichardAshworth,Amedysis
32
However,thisactionaloneisnotenough—especiallyasstrategydevelopmentisinherentlytrickyagainstanuncertainandconstantlychangingpictureofpossibilitiesandrisks.Only14%ofrespondentsreportedthatstrategydevelopmentwastheirsolefocus,withthemajoritysayingthattheyaretakingadditionalactions,includinginvestingininfrastructure(49%),buildingexternalpartnerships(44%),andrecruitingexperts(39%).
WhileAIisacknowledgedtohavesignificantdisruptivepotential,itsopportunitiesmaystillbegreater.Companiestaketheserisksandopportunitiesseriously,asevidencedbyathirteenfoldincreaseinAI-relatedcorporateinvestmentsinthelastdecade.However,morethanabusiness-as-usualapproachwillberequiredtoensurethatanorganizationwillthriveintheageofAI.Profoundchangeandstrongculturaldevelopmentwillbeneeded,whichwillnothappenifleadershipisn’tattheforefront.Webelievethatthedisruptiondoesnotstartwithstrategyoroperations,butwithleadersthemselves.ThemoretheycanadjusttheirprofessionalidentityastheyembraceAI,thegreaterthetransformationthatwilloccur.
BusinessleaderscanactboldlyandstrategicallytoachieveorganizationalreadinessforAI.Thatwillrequireadeepunderstandingofcurrentmarketcapabilitiesandpossiblegapsincapabilitywithinthemselvesandtheirorganizations.Ourconversationswithleadershighlightedfivekey‘successfactors’—theycanserveascornerstonesforleadersastheydriveAIadoptionstrategies(seeFigure7).
33
FiveSuccessFactors
Figure7
Businesscase
development
forassessingvaluecreation
Changemanagement
forsuccessfulGenAIadoption
Dataquality
management
foraccurateoutcomes
Architecturaldesign
forscalability
Securitycontrols
fordataprotection
•Businesscasedevelopment.Evaluatethepotentialforvaluecreationmeticulously.Thisinvolvesacomprehensiveassessmentofbenefits,costs,practicalityofimplemen-tation,andassociatedrisksbeforedeployinggenerativeAIapplications.Byprioritizingvaluecreation,leaderscanensuretheadoptionofeffectiveAIinitiatives.
•Dataqualitymanagement.Prioritizetheintegrityofdata.ItiscrucialtoensurethatthedatafuelinggenerativeAIisaccurate,complete,andfreefrombiasestoyielddepend-ableandvaluableresults.
34
•Securitycontrols.Establisharobustdatasecurityframework.Thisshouldincludedefin-inguseraccesslevelsandsecuritymeasuresthatadheretogovernance,compliance,ethicalstandards,andprivacyregulations.
•Architecturaldesign.Craftanarchitecturalframeworkthatisinherentlyscalable.Thisdesignshouldbecapableofevolvingtomeetthedemandsoffutureusecaseswhileremaininginlinewiththeorganization’scoreprinciplesandvalues.
•Changemanagement.Developarobustchangemanagementstrategy.ThisstrategyshouldensureasmoothtransitionandintegrationofgenerativeAIintoexistingwork-flows,fosteringacceptanceandoperationalharmony.Maintainapeople-focusedapproachduringthischange,ensuringthatalltechnologicalchangesservetheindivi-dualstheyaremeanttoenable.
35
36
“AIislikeanewcolleague.Theyneedtobetrained,
youhavetogivethemclearworkassignmentsandtake
yourtimewiththem!”
MarianneJanik,Microsoft
“Toembracethechangewithinabigorganization,
youneedtohaveaclearvision,butyoualsoneedthe
organizationandtheinfrastructuretosupportit.”
BéatriceGuillaume-Grabisch,Nestlé
LeadershipintheAgeofAI
“Leadershipneedstostayclosetotechtrendsthroughpersonalinitiative(donotoutsource!)andcontinuouslyinvestinseveralsmallerprojectstoexplorenewtrends.Theseprojectsshouldbesupported‘bottom-up’to
maketheteamrealizetheseopportunitiesfirsthand.”RonLior,UberFreight
“Youneedtoshowpeopleexamplesofsuccessinordertogetpeopleonboard.”
MarkRose,AvisonYoung
LeadershipintheAgeofAI
37
5
CONCLUSION
VeryfewleaderscanclaimtobeexpertsinAIorknowpreciselyhowtotranslateAIoppor-tunitiesintostrategicaction.However,beyondthesolutionsintroducedearlier,ourdiscus-sionswithleadersacrossindustrieshaveidentifiedseveralpracticalstepsthatonecantaketopositionthemselves—andtheirorganizations—forsuccess.
Startsmall,golow,goslow,butgo.WhiletheopportunitythatAIpromisesisclearlyrecognized,capturingtheopportunitywithpracticalnextstepscanbeanoverwhelmingask.Leaderswe’vespokentosuggeststartingsmall.Drivingsmaller,manageableinitia-tiveswithtangibleresultscanbreakdownthedauntinguncertaintythatcomeswiththeshift,educatingandboostingcuriosityalongtheway.Thisisthefoundationforfastandsustainabletransformation.
Createroomfortransparentexploration.Leaderscouldcreateapsychologicallysafespaceforexplorationwithintheirteamsandorganizations.AllowfortheexperimentationwithdifferentformsofAIwithinasecuresandbox—embraceutility-readytoolsandcapabil-itiesatyourfingertips,guidedbyorganizationaloversightandgovernance.Thiswillbringplayfulnesstothetransitionathandandcouldboostoverallengagementandenthusiasm.Allowforconsistentdialogueandorganization-widevisibilityofthesandboxlearningsandoutcomes;itcouldcreateaculturalshiftofopennesstothenewtechnology.Moreover,leadersshouldensurethatallnecessarystakeholdersareincludedinthisprocess.
40
“Goslowandpicksomethingthatworks.
Findtechnologicalinterventionsthatarerepeatable,scalable,easytounderstand,andaccurate.”
RichardAshworth,Amedysis
“Iseemyroleasthepersonwhocaneducate,
navigateAIasajourney,startingwithsmallanddigestible‘usecases’tobuildconfidencebeforelookingatthe
moreadvancedAIcapabilitiesavailable.”
CiaraMoore,BankofIreland
“AIdevelopmentsintheorganizationareanevolutionaryratherthanrevolutionaryway.”
RolfHabbenJansen,HapagLloyd
LeadershipintheAgeofAI
41
Disruptyourselffirst,orAIwill.Allowyourselfasaleadertoengagewiththisnewtechnologyby,forexample,enrollinginanintroductoryonlinecourse,encouragingyourcolleaguestotakethesameapproach.Someleaderswe’vespokentoemphasizedpersonallearning,orunderstandingofAI,asoneofthemostcrucialcharacteristicsforembarkingonasuccessfultransition.Engagewithexpertsinthefieldandembraceaninternalshiftofcontinuouslearning.
Lastbutnotleast,leadersneedtokeepasharpeyeoninvestmentsinAIandnotlosethe“venturemindset”onthoseinvestments.Thiswouldmeanbeingsharpaboutchoosingthe“rightinvestmentusecases”wherethebusinesscaseisclear,eithertomanageriskortodrivegrowthpotential.Andsecondly,beingruthlessaboutkillingthoseinvestmentswhere“valuecan’treallyberealized”duetosomerealobstacles.Finally,neverlosingsightorfocuson“scaling”value-creatingusecases,asthatiskeytorealizingmoresustainablevalue.
42
“Ithinkthebigchallengeisthepeople.AndIdon’t
agreethatit’sthef
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