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Intelligent Process Automation with Jetson-TX 2 Murali Kaundinya

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Page 1: Intelligent Process Automation with Jetson TX2€¦ · (TensorFlow, Tesseract) 1 WF 2 WF 3 Post Proc Pre 4 5 6 Augmented Analytics. 7 OCR/Document Processing •Claims Processing

IntelligentProcessAutomationwithJetson-TX2 MuraliKaundinya

Page 2: Intelligent Process Automation with Jetson TX2€¦ · (TensorFlow, Tesseract) 1 WF 2 WF 3 Post Proc Pre 4 5 6 Augmented Analytics. 7 OCR/Document Processing •Claims Processing

Imagineifwecould…

engageendusers

toreflectonaworkfloworUXthatcanbeimproved• andthenquicklyimproveitthemselvesorrecommendanddeliveraproposedsolution.

• NodifferentthanyourexperienceparticipatinginOSSproject

enableprocessestolearn

fromactionable,real-timeinsightsfromoperationalintelligence• augmenthumandecisionmakingwithAIandanalytics

• toexperimentfasterwithdynamic&intelligentworkflows

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Page 3: Intelligent Process Automation with Jetson TX2€¦ · (TensorFlow, Tesseract) 1 WF 2 WF 3 Post Proc Pre 4 5 6 Augmented Analytics. 7 OCR/Document Processing •Claims Processing

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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Page 4: Intelligent Process Automation with Jetson TX2€¦ · (TensorFlow, Tesseract) 1 WF 2 WF 3 Post Proc Pre 4 5 6 Augmented Analytics. 7 OCR/Document Processing •Claims Processing

IPA

AnalyticsPredictivePrescriptiveAugmented

UnattendedWorkflow

UserExperienceNLPs/VPAsSentimentAnalysis

ComputerVision

ProcessInvoiceMatching

EmailAnalysisPatternsofWork

MachineLearning

Page 5: Intelligent Process Automation with Jetson TX2€¦ · (TensorFlow, Tesseract) 1 WF 2 WF 3 Post Proc Pre 4 5 6 Augmented Analytics. 7 OCR/Document Processing •Claims Processing

UseCases

OpticalCharacterRecognition

ReleaseEngineering

VirtualCustomerAssistants

DataUnification

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Page 6: Intelligent Process Automation with Jetson TX2€¦ · (TensorFlow, Tesseract) 1 WF 2 WF 3 Post Proc Pre 4 5 6 Augmented Analytics. 7 OCR/Document Processing •Claims Processing

Architecture

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ProgressiveWebApplication

EmbeddedBPMEngine

PluggableMLLayer(TensorFlow,Tesseract)

1WF

2WF

3

Post

Proc

Pre

4

5

6

AugmentedAnalytics

Page 7: Intelligent Process Automation with Jetson TX2€¦ · (TensorFlow, Tesseract) 1 WF 2 WF 3 Post Proc Pre 4 5 6 Augmented Analytics. 7 OCR/Document Processing •Claims Processing

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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

Page 8: Intelligent Process Automation with Jetson TX2€¦ · (TensorFlow, Tesseract) 1 WF 2 WF 3 Post Proc Pre 4 5 6 Augmented Analytics. 7 OCR/Document Processing •Claims Processing

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

Page 9: Intelligent Process Automation with Jetson TX2€¦ · (TensorFlow, Tesseract) 1 WF 2 WF 3 Post Proc Pre 4 5 6 Augmented Analytics. 7 OCR/Document Processing •Claims Processing

DataWrangler

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FEBRL

HoloClean Snorkel

Page 10: Intelligent Process Automation with Jetson TX2€¦ · (TensorFlow, Tesseract) 1 WF 2 WF 3 Post Proc Pre 4 5 6 Augmented Analytics. 7 OCR/Document Processing •Claims Processing

TargetStateArchitecture

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Claims EMR

CommonDataModel

DomainSpecificViews

Step1

Step2

Step3

Analytics DataVisualization

RCT OMICs

Page 11: Intelligent Process Automation with Jetson TX2€¦ · (TensorFlow, Tesseract) 1 WF 2 WF 3 Post Proc Pre 4 5 6 Augmented Analytics. 7 OCR/Document Processing •Claims Processing

What’snext?

• End-to-Endintegration• CanGPUdatabasesspeedupdataunification?• Brytlyt• MapD,Kinetica,Sqream• BlazingDB• Blazegraph – GraphAnalytics

• BetterdatavisualizationwithGPUs• MapD

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Page 12: Intelligent Process Automation with Jetson TX2€¦ · (TensorFlow, Tesseract) 1 WF 2 WF 3 Post Proc Pre 4 5 6 Augmented Analytics. 7 OCR/Document Processing •Claims Processing

Openarchitecturethatcan

engageendusers

• toreflectonaworkfloworUXthatcanbeimproved• andthenquicklyimproveitthemselvesorrecommendanddeliveraproposedsolution.

• NodifferentthanyourexperienceparticipatinginOSSproject

enableprocessestolearn

• fromactionable,real-timeinsightsfromoperationalintelligence• augmenthumandecisionmakingwithAIandanalytics

• toexperimentfasterwithdynamic&intelligentworkflows

12