ibm watson - innovation and inspiration through cognitive computing
TRANSCRIPT
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InnovationandInspirationthroughCognitiveComputing:IBMWatson
SwamiChandrasekaranExecutiveArchitectIBMWatsonswamchan@us.ibm.com@swamichandra
Applied Artificial Intelligence Conference, San Francisco - May’2016
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©IBM2016AppliedArtificialIntelligenceConference 2
PleaseNote
IBM’sstatementsregardingitsplans,directions,andintentaresubjecttochangeorwithdrawalwithoutnoticeatIBM’ssolediscretion.
Informationregardingpotentialfutureproductsisintendedtooutlineourgeneralproductdirectionanditshouldnotbereliedoninmakingapurchasingdecision.
Theinformationmentionedregardingpotentialfutureproductsisnotacommitment,promise,orlegalobligationtodeliveranymaterial,codeorfunctionality.Informationaboutpotentialfutureproductsmaynotbeincorporatedintoanycontract.Thedevelopment,release,andtimingofanyfuturefeaturesorfunctionalitydescribedforourproductsremainsatoursolediscretion.
PerformanceisbasedonmeasurementsandprojectionsusingstandardIBMbenchmarksinacontrolledenvironment.Theactualthroughputorperformancethatanyuserwillexperiencewillvarydependinguponmanyfactors,includingconsiderationssuchastheamountofmultiprogrammingintheuser’sjobstream,theI/Oconfiguration,thestorageconfiguration,andtheworkloadprocessed.Therefore,noassurancecanbegiventhatanindividualuserwillachieveresultssimilartothosestatedhere.
5/25/16
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Hi,I’mSwamiChandrasekaran
@swamichandra
ChiefTechnologistinIBMWatson–
CognitiveSolutions
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Chapter1
TheInquisitiveMind
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Expertise matters more today than ever before.
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Whatwillaninquisitivemindwanttoknowfromtext?
5/25/16
Frankly, sophisticated audiences are not a problem. Dumb audiences are a problem. But I think audiences are getting more sophisticated — that’s just a product of time. In the ’50s, audiences accepted a level of artifice that the audiences in 1966 would chuckle at. And the audiences of 1978 would chuckle at what the audience of 1966 said was okay, too. The trick
is to try to be way ahead of that curve, so they’re not chuckling at your movies 20 years down the line. With Pulp Fiction, people were like, “Wow, I have never seen a movie like that
before. A movie can do that?” I don’t think that’s the case anymore. I’m not talking ridiculously over anyone’s head anymore. I think people watched Django and InglouriousBasterds and thought they were really out there, but they got it …. Brian DePalma used to
talk about that all the time, about all the s–t he had to deal with, at every single junket. And suddenly they’re all blaming each other for the apocalypse, but the apocalypse is the Civil
War. But that wasn’t what I was necessarily thinking about on page 72 in my bedroom when I was writing it. Gracias !!
KeyEntities/Concepts&
Relationshipsexpressed
Expandonthekey
Concepts&ConceptAssociations
Explore informationfromanextractedKnowledgeGraph
Sentiment &SentimentTargets
Deeperunderstandingonauthor’spersonality
Language identification
Ask questions&interactinnatural
languageResonance,EmotionandToneofthetext
http://www.ew.com/article/2015/12/31/quentin-tarantino-hateful-eight-interview
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EntitiesDetected ConceptsDetected
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Emotion&Tone
Sentiment
Taxonomy
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KnowledgeGraph ImportantKeywords
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Tarantino&Federer– Asseenbyahumanbeing
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Tarantino&Federer– AsseenbyWatson’sVisualRecognition
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Multiclassdetection
FacialRecognition
Customclasses
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Cognitiveisthenewcompetitiveadvantage.
© 2014 International Business Machines Corporation
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Chapter2
CognitiveComputing
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Cognitivesystemsdemocratizeinnovationbyscalingknowledge.
S en so r s Da t a Ana l y t i c s I n fo rma t i on Cogn i t i ve
In g es t i on , I n t eg ra t i on , Governan c e
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Cognitivesystems amplifyhumancognition.
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Andthecognitivesystemsarenotprogrammed.Theylearn theirbehavior
throughtraining.
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Examples include:Analyst reportstweetsWire tap transcriptsBattlefield docsE-mailsTextsForensic reports
NewspapersBlogsWikiCourt rulingsInternational crime databaseStolen vehicle dataMissing persons data
Data, information, and expertise create the foundation.
Cognitivesystemsrelyoncollectionsofdataandinformation
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DissectingCognitiveSystems
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CognitiveSystems
Vision
Language
Speech
Data&Insights
CognitiveSystemsUnstructuredData K n ow l e d g e
EntityExtraction SentimentAnalysis EmotionAnalysis ConceptTagging AuthorExtraction EntityResolution
PsychographicAnalysis Dialog TexttoSpeech MLAnnotations RelationExtraction KnowledgeGraph
FaceDetection ImageClassification PassageRanking FeedDetection TradeoffAnalysis ParetoAnalysis
InformationTheory DomainLexicons FeatureWeighting MachineLearning NeuralNets EntityResolution
SyllableAnalysis
VoiceSynthesis
GraphComputing
ScaleoutIngestion
MachineTranslation ImageTagging LanguageIdentification Multi-classDetect Diarization LanguageModels NLClassification
Analytics
Descriptive
Classification
Clustering
Reasoning
KnowledgeGraph
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Three capabilitiesdifferentiatecognitivesystemsfromtraditionalprogrammedcomputingsystems…
ReasoningTheyreason. Theyunderstandunderlying ideasandconcepts. Theyformhypothesis. Theyinferandextractconcepts.
LearningTheynever stoplearning getting morevaluablewithtime.Advancing witheachnewpieceofinformation,interaction, andoutcome. Theydevelop“expertise”.Understanding
Cognitive systemsunderstandlikehumansdo.
….allowingthemtointeractwithhumans.
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RetrieveandRank
EntityExtractionSentimentAnalysisEmotionAnalysisKeywordExtractionConceptTaggingTaxonomyClassificationAuthorExtractionLanguage DetectionTextExtractionMicroformats ParsingFeedDetectionLinkedDataSupportConceptExpansionConcept InsightsDialogDocumentConversionLanguage Translation
Natural LanguageClassifierPersonality insightsRelationship ExtractionRetrieve andRankToneAnalyzerEmotiveSpeech toTextText toSpeechFaceDetectionImageLinkExtractionImageTaggingTextDetectionVisual InsightsVisualRecognitionAlchemyData NewsTradeoffAnalytics
50underlying technologies
NaturalLanguageClassifier
ToneAnalyzer
…andthenleverageWatsonAPIstoapplycognitivecapabilities.
http://www.bluemix.com
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Chapter3
Actionsspeaklouder
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Watsoniscreatinganewpartnershipbetweenpeopleandcomputersthat
enhances,scales,andaccelerates humanexpertise
TabulatingSystemsEra
1900
ProgrammableSystemsEra
1950
CognitiveSystemsEra
2011
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CogniToys Capabilities• Conversationalwithapersonality!• Ageappropriatecontentbasedonchild’sprevious
interactionswiththetoyStorytellingStorycreationFuncommandstodiscoverduringplay
• Proprietaryeducational frameworkthatfuseseducational contentintothetoysplaypattern
• ParentPanelthatgivesparentsreal-time feedbackonachilds learningbasedontoy-childinteraction
PLAYANDLEARN- BACKEDBYIBMWATSONCogniToys arethenextgenerationofinternetconnectedsmarttoysthatlearnandgrowwithyourchild.
www.cognitoys.com
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VariousadoptionpatternsworkingacrossstructuredandunstructureddatawithNLP,Vision,SpeechandMachineLearning
ENGAGE DISCOVEREXPLORE DECIDE EMBED
Expressintents,askquestionsforgreaterinsight
Naturallanguagedialogue
BuildBotsforvariouschannels
360-degreeinfoappsatthepointofimpact
PlatformAPI’stofurtherenhancecognitiveprocessing
Findexternalinformationinrealtime
Whenfindingthequestion isasimportantasfindingtheanswer
Findrationaleforgivenresponses
Scalingtomillionsofdocuments
Ingestandanalyzedomainsources,infomodels
Evidence-baseddecisionswithgreaterconfidence
BuildyourapplicationusingcallableWatsonServiceAPIs
Canbecombinedwiththe100sofotheravailableAPI’sonBluemix
Transformcustomerexperiences
Search, consolidate&analyze
enterprisedata
AccelerateResearchinto
Insight
Evaluatepossibleoptions&choosethe
bestone
EnrichappswithCognitive,NLP,Vision&MachineLearningcapabilities
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Someofthekeyneedsweareseeingfromcustomers…
• Helpmeseebeyondthehype
• Helpgetmestartedquickly&rightawaya.k.a speedtomarket
• BreadthofcapabilitiesacrossLanguage,Vision,Speech,Insights,Analytics
• Mydataismycrownjewel
• Helpmewiththedata– acquisition,cleansing,mungingandingestion
• Idon’thavedatascientists…yet
• Abilitytotrain/adaptthemodelswithmyowndata
• Abstractthehardscienceawayfromme
• Abilitytousemyownlanguagemodels
• API’s.API’s.API’s
• Platformcanscale&issecure
• Whatdoyouhaveformyindustry?
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Watsonatworkintheworld.
5/25/16
"Woodside totapintoIBM'sWatson” - CIO
"IBM’sWatsonNowPowers AIForUnderArmour”- TechCrunch
"SoftBank's Pepper robotisgetting anintelligence boostfromIBM'sWatson"-TheVerge
"Medtronic, IBMteamupondiabetesapptopredict possiblydangerouseventshoursearlier."- TheWashingtonPost
"IBM’sWatsonHelpedPickKia’sSuperBowl‘Influencers’”- WallStreet Journal
"HowCanIHelp You?IBM'sWatsonPowers Hilton's RoboticConcierge" -FastCompany
"IBMandApple canputWatson'sA.I. insights insideAppleWatch"-ComputerWorld
"ThomsonReuters todeploy IBMWatsontechnology”- InfoTechLead
"IBM'sWatsonLandsAJobWithKPMG.” -InformationWeek
"TheNorthFace UsesIBM'sWatsontoMakeOnline ShoppingSmarter" -The Street
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Otherexamplesofcognitiveapplications….• Self-ServiceStudentAdvisor
• FinancialAdvisor
• PopulationHealthManagement
• TechnicalSupportServicesSystem
• TumorDetection
• LifeSciencesExploration
• RetailShoppingAssistant
• Productandservicequality
• Drugefficacy
• Frauddetection
• OncologyAdvisor
• DigitalMarketingdevelopment&execution
• ClinicalTrailsMatching
• DemandGenerationInsights
• Customersatisfactionandsurveyanalysis
• Claimsanalysis,paymentvalidationandlossreview
• CognitiveServiceMaintenance
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MoreFoodforthought….
• ContactCenterInsights
• Muti-channelVirtualAgents
• CognitiveCommerce
• CognitiveRoboticsProcessAutomation
• Conciergetoaddressguestneedsandenquiries
• Emotionalanalysisfromtext,visionandspeech
• Audience/visitorinsightsfromtheirreviewsandsocialposts
• Analysis&Insightfromcustomerconversations
• TrendingTopics&affiliatedtopics
• CognitiveLocationbaseddecisionsforentertainmentvenues
• VirtualAgentsleveragingBots
• HR/WorkforceOptimization
• Discoverywithevidence-based,relevantpathways
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Speakingoffoodandcocktailthatwaspromised….
5/25/16
https://www.ibmchefwatson.com/recipe/03ade0cdfa4a22ecc0c4a37393f51e7e
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© 2016 IBM Corporation 324/11/16
facebook.com / ibmwatson ibmwatson.com @ibmwatson
WhatwillyoudowithCognitiveComputing?
Improveyourprocessesandoperations
Enablenewkindsofengagement
Createbetterproducts
Leverageexpertise
EnablenewbusinessmodelsData Watson