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ID:8136357
大小:737.38 KB
页数:28页
时间:2018-03-06
《全球AI报告:探索人工智能革命》由会员上传分享,免费在线阅读,更多相关内容在行业资料-天天文库。
1、Artificialintelligence(AI)isasourceofbothhugeexcitementandapprehension.Whataretherealopportunitiesandthreatsforyourbusiness?DrawingonadetailedanalysisofthebusinessimpactofAI,weatPwCidentifythemostvaluablecommercialopeninginyourmarketandhowtotakeadvantageofthem.Siz
2、ingtheprizeWhat’stherealvalueofAIforyourbusinessandhowcanyoucapitalise?+14%AccordingtoPwCresearchcarriedoutforthisreport,globalGDPcouldbeupto14%higherin2030asaresultofAI–theequivalentofanadditional$15.7trillion–makingitthebiggestcommercialopportunityintoday’sfastc
3、hangingeconomy+26%ThegreatestgainsfromAIarelikelytobeinChina(boostofupto26%GDPin2030)andNorthAmerica(potential14%boost).Thebiggestsectorgainswillbeinretail,financialservicesandhealthcareasAIincreasesproductivity,productqualityandconsumption.www.pwc.com/AIDefiningA
4、IInourbroaddefinition,AIisacollectiveterm forcomputersystemsthatcansensetheirenvironment,think,learn,andtakeactioninresponsetowhatthey’resensingandtheirobjectives.FormsofAIinusetodayinclude,amongHumanintheNohumaninothers,digitalassistants,chatbotsandlooptheloopmac
5、hinelearning.AIworksinfourways:Automatedintelligence:Automationofmanual/cognitiveandroutine/non-HardwiredAssistedAutomationroutine tasks./specificIntelligenceAutomationofsystemsAIsystemsthatmanualandAssistedintelligence:Helpingpeopletoassisthumansincognitivetasksp
6、erformtasksfasterandbetter.makingdecisionsthatareeitherAugmentedintelligence:Helpingpeopletoortakingactions.routineornon-makebetterdecisions.Hard-wiredroutine.ThisdoessystemsthatdonotinvolvenewAutonomousintelligence:Automatingnotlearnfromwaysofdoingdecisionmakingp
7、rocesseswithouthumantheirinteractions.things–automatesintervention.existingtasks.Ashumansandmachinescollaboratemoreclosely,andAIinnovationscomeoutoftheresearchlabandintothemainstream,theAdaptiveAugmentedAutonomoustransformationalpossibilitiesarestaggering.systemsI
8、ntelligenceIntelligenceAIsystemsthatAIsystemsaugmenthumanthatcanadaptdecisionmakingtodifferentandcontinuouslysituationsandcanlearnfromtheiractautonomous
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