人工智能商务服务领域应用前景演讲 Artificial Intelligence for Business

ArtificialIntelligenceforBusiness

NicolaMattinaApril2017

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Inourimagination…

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ArtificialIntelligenceineverydayproducts…

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WhyisAIbecomingusableforbusiness?

ComputingPower

AlgorithmsData

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Investorsareinterested.Alot!

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Investorsareinterested.Alot!

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AIisrapidlymovingfrominflatedexpectationstoproductivity

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TechnologiesandServices

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Whatisavailableonthemarket

ServicesbuiltonAI

⃞brightfunnel.

Platforms,SaaSandAPIs

TechnologiesandResearchopenRl

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Whatisavailableonthemarket

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Whatisavailableonthemarket

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DefiningArtificialIntelligence

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Adefinitionofhumanintelligence

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Adefinitionofartificialintelligence

Thecapacityofacomputerto

performoperationsanalogoustolearninganddecisionmakinginhumans.

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3levelsofArtificialIntelligence

Artificial

Narrow

Intelligence

Specializedin

onearea.

Artificial

Super

Intelligence

Smarterthanhumansineveryway.

Artificial

General

Intelligence

Specializedinallarea.

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3levelsofArtificialIntelligence

Artificial

General

Intelligence

Specializedinallarea.

Artificial

Super

Intelligence

Artificial

Singularity

Narrow

Intelligence

Specializedin

onearea.

Smarterthanhumanseveryway.

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Whatare(someof)theskillsofArtificialIntelligencetoday?

NaturalLanguageProcessingKnowledgeRepresentation

MachineLearning

AutomaticReasoningAutomaticPlanning

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Whatare(someof)theskillsofArtificialIntelligencetoday?

AIunderstandsinputs

AIexecutestasks

Natural

SpeechtoText

AImanagesknowledge

Pre-TrainedDatasets

LanguageProcessing

<><>

AutomaticReasoning

AutomaticPlanning

Ontologies

and

LinkedData

Image

Recognition

AIlearns

Deep

Learning

MachineLearning

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Understandinginputs:Speechrecognition

Speechrecognitioncanbeusedtoallowapplicationstotakecommandsfrom

humans,totranscribeconversationsorevenparticipateinthem.

Popularcommercial

examplesareApple’sSiri,GoogleNowandAmazon’sAlexa.

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Understandinginputs:Speechrecognition

/speech/

/cognitive-services/en-us/speech-api

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UnderstandingInputs:NaturalLanguageProcessing

NaturalLanguage

Processingcanbeusedtoanalyseanytexttoextracttopics,sentiment,meaningandultimatelytogain

knowledge.

markets,toanalyseproduct

Itisusedtoreadthesentimentinfinancial

reviews,monitorsocialmedia,...

/study-notes/text-retrieval/week1.html

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Understandinginputs:Naturallanguageprocessing

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Understandinginputs:Imagerecognition

Atechnologythatidentifiesandunderstandswhatcanbeseeninimagesand

video.Itassignslabelstoobjectsandsituations.

BestknownapplicationsofImageAnalysisarefacial

andself-drivingtechnology.

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recognition,qualitycontrols

UnderstandingInputs:Imagerecognition

...

https://cloudgooglecom/vision/

https://clarifaicom

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Managingknowledge:OntologiesandLinkedData

naminganddefinitionofthe

Anontologyisaformal

types,properties,and

interrelationshipsofthe

entities

thatreallyor

fundamentallyexistforaparticular

domainof

discourse

.

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ProfessorTeachingTopic

Nicolateachesmanydifferentthings,includinguserexperienceto

manydifferentaudiences,includingstudentsat

Managingknowledge:OntologiesandLinkedDataOntologiesworkverywellbutaredomain-specific.

>

Univesity

RomaTreUniversity.

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Managingknowledge:OntologiesandLinkedData

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Managingknowledge:OntologiesandLinkedData

/page/God_Save_the_Queen

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Managingknowledge:OntologiesandLinkedData

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Managingknowledge:DataSetsandModels

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MachineLearning:Basics

Machinelearningprovidescomputerswiththeabilitytolearnwithoutbeing

explicitlyprogrammed

Todayitisusedtobetterdetectdiseases,

recommendcontent,

improveproductsand

servicesandmanyotherapplications.

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MachineLearning:Typesoflearning

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MachineLearning:ProblemTypes

Classificationisageneralprocessrelatedto

categorization

,theprocessinwhichideas

andobjectsarerecognized,differentiated,andunderstood.

Regressionanalysisisastatisticalprocessforestimatingtherelationshipsamong

variables.

Clusteringisthetaskofgroupingasetof

objectsinsuchawaythatobjectsinthe

samegroup(calledacluster)aremore

similar(insomesenseoranother)toeach

otherthantothoseinothergroups(clusters)

Anomalydetectionistheidentificationofitems,eventsorobservationswhichdonotconformtoanexpectedpatternorother

itemsina

dataset

.

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MachineLearning:Platforms

....

https://studioazuremlnet/https://awsamazoncom/it/machine-learning/

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MachineLearning:DeepLearning

DeepLearningispartofthemachinelearningfieldoflearning

representationsofdata.Exceptionaleffectiveatlearningpatterns.

Itutilizeslearningalgorithmsthat

derivemeaningoutofdatabyusingahierarchyofmultiplelayersthat

mimictheneuralnetworksofourbrain.

Ifyouprovidethesystemtonsof

information,itbeginstounderstanditandrespondinusefulways.

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MachineLearning:DeepLearning

Adeepneuralnetworkconsistsofahierarchyoflayers,wherebyeachlayertransformstheinputdataintomoreabstractrepresentations(e.g.edge->nose->face).

Theoutputlayercombinesthosefeaturestomakepredictions

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Executingtasks:Filterspam

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Executingtasks:Playgames

DeepMindDPQ-Learning

outperformhumansinover30Atarigamesjustby

receivingthepixelsonthescreenwiththegoalto

maximizethescore

(ReinforcementLearning).

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Executingtasks:Suggestthings

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Executingtasks:Labelingimages

NeuralImageCaptionGenerator

generatesfittingnatural-languagecaptionsonlybasedonthepixelsbycombiningavisionCNN

(convolutionalneuralNetwork)andalanguage-generatingRNN(recurrentneuralnetwork).

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Executingtasks:Trasformmoviesin3D

Deep3Dcanautomaticallyconvertimage/videofrom2D-to-3Dwith

ConvolutionalNeuralNetworks.It

learnstoinfer3Drepresentationsoftheworldbasedontrainingsetof3Dmovies.

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Executingtasks:Driveacar