Artificial Intelligence in Business, threat or opportunity€¦ · Artificial Intelligence in...
Transcript of Artificial Intelligence in Business, threat or opportunity€¦ · Artificial Intelligence in...
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Artificial Intelligence in Business, threat or opportunity
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INTRODUCTION:
What is AI (Artificial Intelligence)▪ ArtificialIntelligenceisabranchofSciencewhichdealswithhelpingmachinesfindsolutionstocomplexproblemsinamorehuman-likefashion.
▪ AIisafilledwhichattemptstobuildintelligentmachinesandtriestounderstandintelligenceentries.
▪ Thisgenerallyinvolvesborrowingcharacteristicsfromhumanintelligence,andapplyingthemasalgorithmsinacomputerfriendlyway.
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EvolutionofArtificialIntelligence
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Where is AI Currently in use
ArtificialIntelligenceUsage
HealthCareTakingCareofthe
Elderly
AirportsCustoms
UsheringCustomers,Check
inSecurty
AgricultureDiseaseControl
AssetManagement
DataAnalysisandPrediction
EducationSector
SmartHomesEnergy
Efficiency
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1. CHANGE TO ARTIFICIAL INTELIGGENCE
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ARTIFICIALINTELLIGENCEANDBIGDATA
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AIINSMARTHOMES/BUSINESSES&ENERGYSAVINGS(ALEXA DEMOTOFOLLOW)
SMARTHOME PRACTICALAPPLICATIONS
▪ TurnLightsonandOffRemotely
▪ OperateLightsatsay10%Brightness
▪ ScheduleGeysertoTurnon&off
▪ ScheduleAirconstoTurnonandOff
▪ ArmandDisarmAlarmSystem
▪ TurnonandOffApplicances eg Fridge,Microwave
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ARTIFICIALINTELLIGENCEINAGRICULTURE
▪ UsedtoTraceCropandAnimalDiseases
▪ UsedtoregulateTemperature
▪ UsedtoForecastWeatherPatterns
▪ IrrigationEquipmentRepairtracingofLeaks
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ARTIFICIALINTELLIGENCEINHEALTHCARE
▪ Diagnostics
▪ Prescriptions
▪ BodyLifting
▪ DiseaseAnalysis
▪ MedicalEquipmentManufacturing
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ARTIFICIALINTELLIGENCEINACCOUNTING▪ Accountantshavebeendeployingtechnologyformanyyearstohelpthemprovidebetteradviceandmakebetterdecisions.Technologycanhelpthemdothisbysolvingthreebroadproblems:▪ Providingbetterandcheaperdatatosupportdecision-making;▪ Generatingnewinsightsfromtheanalysisofdata;and▪ Freeinguptimetofocusonmorevaluabletaskssuchasdecision-making,problemsolving,advising,strategydevelopment,relationshipbuildingandleadership.
▪ Therefore,itisimportanttoidentifyaccountingandbusinessproblemswheremachinelearningislikelytobeparticularlyfruitfulandwhereproblemsmaybelesssuitableforthesetechniques.Thiswillensurethatadoptioneffortsaredrivenbybusinessneed,ratherthansimplytechnologycapabilities.
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ARTIFICIALINTELLIGENCEINACCOUNTING….CONTINUED
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deeplearningmodels.Todate,therehasbeenlimiteduseinreal-worldaccountingbutearlyresearchandimplementationprojectsinclude:
• Usingmachinelearningtocodeaccountingentriesandimproveontheaccuracyofrules-basedapproaches,
• enablinggreaterautomationofprocesses;
• Improvingfrauddetectionthroughmoresophisticated,machinelearningmodelsof‘normal’activities• andbetterpredictionoffraudulentactivities;
• Usingmachinelearning-basedpredictivemodelstoforecastrevenues;and•improvingaccessto,and
• analysisof,unstructureddata,suchascontractsandemails,throughdeeplearningmodels.
• Improvingaccessto,andanalysisof,unstructureddata,suchascontractsandemails,through
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ILLUSTRATIONS
1.AlexausedtoManageDiary,ProvideInformation
2.AlexausedtoControlLightsinaSmartHome
3.AlexausedforAccountingapplications
ThisPhoto byUnknownAuthorislicensedunderCCBY-NC
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DISCUSSIONWITHAUDIENCE:THREATS
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DISCUSSIONWITHAUDIENCE:OPPORTUNITIES.
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QUESTIONS&ANSWERS
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