Intelligent Process Automation with Jetson TX2€¦ · (TensorFlow, Tesseract) 1 WF 2 WF 3 Post...
Transcript of Intelligent Process Automation with Jetson TX2€¦ · (TensorFlow, Tesseract) 1 WF 2 WF 3 Post...
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IntelligentProcessAutomationwithJetson-TX2 MuraliKaundinya
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Imagineifwecould…
engageendusers
toreflectonaworkfloworUXthatcanbeimproved• andthenquicklyimproveitthemselvesorrecommendanddeliveraproposedsolution.
• NodifferentthanyourexperienceparticipatinginOSSproject
enableprocessestolearn
fromactionable,real-timeinsightsfromoperationalintelligence• augmenthumandecisionmakingwithAIandanalytics
• toexperimentfasterwithdynamic&intelligentworkflows
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Aboutme…
• MuraliKaundinya• WithMerck&Co.for2+Years• Horizon3- Research&Development
• ArtificialIntelligence• DataScience• InformationManagement
• Previouslyat:• GoldmanSachs• UnitedHealthGroup(NowOptum)• SunMicrosystems(NowOracle)
• Startedcareerat• NASAGoddardSpaceFlight
Center,Greenbelt,MD
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IPA
AnalyticsPredictivePrescriptiveAugmented
UnattendedWorkflow
UserExperienceNLPs/VPAsSentimentAnalysis
ComputerVision
ProcessInvoiceMatching
EmailAnalysisPatternsofWork
MachineLearning
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UseCases
OpticalCharacterRecognition
ReleaseEngineering
VirtualCustomerAssistants
DataUnification
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Architecture
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ProgressiveWebApplication
EmbeddedBPMEngine
PluggableMLLayer(TensorFlow,Tesseract)
1WF
2WF
3
Post
Proc
Pre
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5
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AugmentedAnalytics
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OCR/DocumentProcessing• ClaimsProcessing• InvoiceProcessing• LanguageTranslation• DataLeakageProtection• ReduceErrors/Costs
ContinuousDelivery• ReleaseNotesGeneration• ChangeRequest• CABArtifacts• MLonImpactAnalysis• AugmentedAnalytics• ApprovalWorkflow
VCAs(akaChatbots)• SOPs/CustomerService• ChatLogHistory
• ExtractingIntent• SVMs,NaïveBayes,LSTMs,FFNNs
• NLPw/SemanticOntologies• Dynamicworkflow
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DataUnification • 11sourcedatabases• Datarefreshes
• OMOPCommonDataModel• SchemaUpdates
• NXMDataConversions• DataCataloguingalgos/tools• End-to-EndIntegration• SelectiveSMEInvolvement
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Source:http://OHDSI.org/CDM
Claims EMR
CommonDataModel
DomainSpecificViews
Step1
Step2
Step3
Analytics DataVisualization
RCT OMICs
DataSimilarityAlgorithmsAttributeIdentification• Trigramcosinesimilarity.• TF-IDFcosinesimilarity.• MinimumDesc.Length(Jaccard)• Welch’st-testfornumericalvalues.
EntityConsolidation• DataDe-duplication• Clustering
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DataWrangler
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FEBRL
HoloClean Snorkel
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TargetStateArchitecture
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Claims EMR
CommonDataModel
DomainSpecificViews
Step1
Step2
Step3
Analytics DataVisualization
RCT OMICs
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What’snext?
• End-to-Endintegration• CanGPUdatabasesspeedupdataunification?• Brytlyt• MapD,Kinetica,Sqream• BlazingDB• Blazegraph – GraphAnalytics
• BetterdatavisualizationwithGPUs• MapD
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Openarchitecturethatcan
engageendusers
• toreflectonaworkfloworUXthatcanbeimproved• andthenquicklyimproveitthemselvesorrecommendanddeliveraproposedsolution.
• NodifferentthanyourexperienceparticipatinginOSSproject
enableprocessestolearn
• fromactionable,real-timeinsightsfromoperationalintelligence• augmenthumandecisionmakingwithAIandanalytics
• toexperimentfasterwithdynamic&intelligentworkflows
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