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Add intelligence to applications with AWS AI services - AIM201 - New York AWS Summit

  1. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Adding intelligence to applications with AWS AI services A I M 2 0 1 Randall Hunt Sr. Software Engineer and Tech Evangelist AWS
  2. Our mission at AWS Put machine learning in the hands of every developer
  3. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Why AWS for AI? Broadest and deepest set of AI and ML services for your business Solving the toughest problems holding back ML - cost, ease of use, and data 75% lower inference cost 70% cost reduction in data- labeling “No ML experience required” Unmatched support for the most popular frameworks Built on the most comprehensive cloud platform optimized for Machine Learning 85% of TensorFlow projects in the cloud happen on AWS 200+ new features and services since Jan 2018 AWS holds the top spots on Stanford’s benchmark, for fastest training time, lowest cost, lowest inference latency Deepest set of security and encryption features, with robust analytics capabilities
  4. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T More machine learning happens on AWS than anywhere else
  5. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T M L F R A M E W O R K S & I N F R A S T R U C T U R E A I S E R V I C E S Vision | Documents | Speech | Language | Chatbots | Forecasting | Recommendations M L S E R V I C E S Data labeling | Pre-built algorithms & notebooks | One-click training and deployment Build, train, and deploy machine learning models fast Easily add intelligence to applications without machine learning skills Flexibility & choice, highest-performing infrastructure Support for ML frameworks | Compute options purpose-built for ML The Amazon ML stack: Broadest & deepest set of capabilities
  6. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T AI Services A m a z o n R e k o g n i t i o n I m a g e A m a z o n P o l l y A m a z o n T r a n s c r i b e A m a z o n T r a n s l a t e A m a z o n C o m p r e h e n d A m a z o n L e xA m a z o n R e k o g n i t i o n V i d e o A m a z o n F o r e c a s t A m a z o n T e x t r a c t A m a z o n P e r s o n a l i z e VISION SPEECH LANGUAGE CHATBOTS FORECASTING RECOMMENDATIONS ML Services Amazon SageMaker Ground Truth Notebooks Algorithms + Marketplace Reinforcement Learning Training Optimization Deployment Hosting ML Frameworks + Infrastructure EC2 P3 & P3dn EC2 C5 FPGAs AWS IoT Greengrass Elastic Inference FRAMEWORKS INTERFACES INFRASTRUCTURE AWS Inferentia EC2 G4 The Amazon ML stack: Broadest & deepest set of capabilities
  7. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T AI Services A m a z o n R e k o g n i t i o n I m a g e A m a z o n P o l l y A m a z o n T r a n s c r i b e A m a z o n T r a n s l a t e A m a z o n C o m p r e h e n d A m a z o n L e xA m a z o n R e k o g n i t i o n V i d e o A m a z o n F o r e c a s t A m a z o n T e x t r a c t A m a z o n P e r s o n a l i z e VISION SPEECH LANGUAGE CHATBOTS FORECASTING RECOMMENDATIONS The Amazon ML stack: Broadest & deepest set of capabilities Pre-trained AI services that require no ML skills or training Easily add intelligence to your existing apps and workflows Quality and accuracy from continuously-learning APIs
  8. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Amazon Polly Use Cases Content creation Mobile & desktop applications Internet of Things (IoT) Education & e-learning Telephony Game development Key Features 52 voices across 25 languages Lip-syncing & text highlighting Fine-grained voice control Custom vocabularies Available in 14 AWS Regions Turn text into lifelike speech
  9. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Utterances Spoken or typed phrases that invoke your intent Book Hotel Intents An intent performs an action in response to natural language user input Slots Slots are input data required to fulfill the intent Fulfillment Fulfillment mechanism for your intent Amazon Lex Conversational interfaces
  10. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Amazon Lex Automatic Speech Recognition (ASR) Natural Language Understanding (NLU) Same technology that powers Alexa Amazon Cognito AWS CloudTrail Amazon CloudWatch AWS Services Action AWS Lambda Authentication & Visibility Speech API Language API Fulfillment Users Developers Console SDK Intents, Slots, Prompts, Utterances Input: Speech or Text Multi-Platform Clients: Mobile, IoT, Web, Chat API Output: Speech (via Amazon Polly TTS) or Text Amazon Lex Technology
  11. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Informational Bots Chatbots for everyday consumer requests Application Bots Build powerful interfaces to mobile applications News updates Weather information Game scores …. Book tickets Order food Manage bank accounts …. Enterprise Productivity Bots Streamline enterprise work activities and improve efficiencies Check sales numbers Marketing performance Inventory status …. Internet of Things (IoT) Bots Enable conversational interfaces for device interactions Wearables Appliances Auto …. Contact Center Bots Chatbots for customer service IVR Account inquiries Bill payment Service update …. Amazon Lex Use cases
  12. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Speaker identification Channel identification Streaming transcription Language support US English US Spanish Australian English Canadian FrenchBritish English Word-level timestamps Punctuation and capitalization Word-level confidence scores Custom vocabularies ItalianBrazilian Portuguese Amazon Transcribe Automatic speech recognition
  13. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Call centers Subtitles for VOD Transcribe meetingsBroadcast closed captions Amazon Transcribe Use cases
  14. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T • Contextual • Full sentences • Fluent Amazon Translate Neural machine translation
  15. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Dozens to hundreds of words per second vs. ~4 per minute for human Speed Translate is nearing human parity based on human evaluations Quality Translate costs 0.07% of human translation on average Cost Amazon Translate Shifting from human to artificial intelligence X300 faster X1500 85% as good Speed Cost Quality
  16. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Amazon Translate Features 21 languages 417 Combinations Real time <500 ms / sentence on average <150 ms / conversational / short form Tag handling XML tags placement maintains styling and formatting through translation < / > Data security Data ownership Encryption Access management Ease of use Simple API calls and partner solutions $15/1M characters Or $0.000075 per word; Pay as you go, 2M characters monthly free tier HIPAA Eligible Key features
  17. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Entities Key Phrases Language Sentiment Syntax Grouping A m a z o n C o m p r e h e n d Discover insights and relationships in text Amazon Comprehend
  18. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Amazon Comprehend Natural language processing Sentiment Entities LanguagesKey phrases Topic modeling
  19. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T A m a z o n . c o m , I n c . i s l o c a t e d i n S e a t t l e , W A a n d w a s f o u n d e d J u l y 5 , 1 9 9 4 b y J e f f B e z o s . O u r c u s t o m e r s l o v e b u y i n g e v e r y t h i n g f r o m b o o k s t o b l e n d e r s a t g r e a t p r i c e s N a m e d e n t i t i e s A m a z o n . c o m : O r g a n i z a t i o n S e a t t l e , W A : L o c a t i o n J u l y 5 , 1 9 9 4 : D a t e J e f f B e z o s : P e r s o n K e y p h r a s e s O u r c u s t o m e r s b o o k s b l e n d e r s g r e a t p r i c e s S e n t i m e n t P o s i t i v e L a n g u a g e E n g l i s h Text analysis Amazon Comprehend
  20. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Amazon Rekognition Deep-learning-based image & video analysis
  21. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Faces Celebrities Labels Moderation ScenesActivities Paths Text Amazon Rekognition Features
  22. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Customer analysis Analyze trends, not individuals Recognize your customer Verify the identities of customers who opt in Amazon Rekognition Face: Common use cases
  23. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Recognize your customer Verify the identities of customers who opt in Amazon Rekognition Face: Common use cases
  24. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Amazon Textract Easily extract text and data from virtually any document Text extraction Table extraction Form extraction
  25. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Input Uploaded document images such as tax forms, credit applications, or medical notes Amazon S3 Uploaded documents are stored in data lake AWS Lambda A Lambda function is triggered to initiate document analysis using the Hieroglyph API Amazon Textract Automatically extract text, including key-value pairs and tables Amazon Elasticsearch Service Extracted data and confidence scores are indexed to enable document search Output Perform contextual search on millions of documents or integrate data into your document management system Amazon Textract Reference architecture – index and search documents
  26. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Input Customer uses mobile app to capture a photo of a W2 form Amazon Textract The Amazon Textract API is integrated into the user application to automatically extract text from the W2 form and auto-populate the form fields Customer application Customers experience real-time capture of their tax information by taking a photo instead of manual data entry Database User-submitted data is loaded into a database for use in tax preparation Amazon Textract Reference architecture: Form capture
  27. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Quickly turn extracted text/data into actionable insights Input Uploaded document images of medical notes, explanation of benefits, and patient forms Amazon S3 Uploaded documents are stored in Amazon S3 Amazon Comprehend Use natural language processing to extract insights Amazon Elasticsearch Service Easily search through extracted data and text insights Output Discover medical insights to improve patient care Amazon Textract Automatically extract words and lines of text, and tables Amazon Textract Reference architecture: Extract for NLP
  28. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Popularity trap Naïve models give recommendations similar to popular items Cold starts New users should get relevant recommendations, new items should show in recommendations Scale Recommendations should scale across millions of users and items Real time Personalization must be responsive to the changing user intent Custom models Personalization models must accurately reflect business context and user behavior Amazon Personalize Real-time personalization and recommendation
  29. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Articles, products, videos, etc. Age, location, etc. Amazon Personalize Customized personalization & recommendation API Views, signups, conversion, etc. Amazon Personalize Real-time personalization and recommendation
  30. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Customized personalization & recommendation API F u l l y m a n a g e d b y A m a z o n P e r s o n a l i z e Amazon Personalize Inspect data Identify features Select algorithms Select hyperparameters Train models Optimize models Host models Build feature store Create real-time caches Activity stream from app Inventory Demographics (optional) Amazon Personalize Real-time personalization and recommendation
  31. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Historical data Supply chain, inventory, etc. Customized forecasting API Related “causal” data Weather, special offers, product details Amazon Forecast Amazon Forecast Accurate time-series forecasting
  32. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Amazon Forecast Accurate time-series forecasting Historical data Supply chain, inventory, etc. Customized forecasting API Inspect data Identify features Select from eight algorithms Select hyperparameters Host models Load data Train models Optimize models Related “causal” data Weather, special offers, product details F u l l y m a n a g e d b y A m a z o n F o r e c a s t Amazon Forecast
  33. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Amazon Forecast Accurate time-series forecasting Any historical time-series Export to CSV to Integrate with SAP and Oracle Supply Chain Custom forecasts with 3 clicks Up to 50% more accurate 1/10th the cost Retail demand Travel demand AWS usage Revenue forecasts Web traffic Advertising demand Generate forecasts for:
  34. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Modernize your contact center to improve customer service Use identity verification to strengthen safety & security Increase efficiency with automated document analysis Accurately forecast future business outcomes Personalize customer experiences with targeted recommendations Automate media workflows to reduce costs & monetize content Understand the voice of your customer Extract and understand complex medical information
  35. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Modernize your contact center to improve customer service conversational chat bots | call transcription | intelligent routing | sentiment analysis | VoC analytics text-to speech | multilingual omni-channel communication A m a z o n P o l l y A m a z o n T r a n s c r i b e A m a z o n T r a n s l a t e A m a z o n C o m p r e h e n d A m a z o n L e x
  36. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Modernize your contact center to improve customer service Live agent optimization with AI Amazon TranslateCustomer Chat Agents Live translation enables global, multi-lingual chat Amazon Comprehend Real-time analysis provides next best action guidance Amazon Transcribe Amazon ConnectCustomer Voice Agents Amazon Comprehend Live transcription extends guidance for voice calls
  37. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Livecallanalysiswithnextbestactionandtranslation
  38. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Livecallanalysiswithnextbestactionandtranslation
  39. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Modernize your contact center to improve customer service Agentless service optimization with AI single bot engine provides multi-lingual text chat sentiment detection and dynamic routing AI-powered smart voice interaction (IVR)Amazon Translate Customer Amazon Connect Amazon Lex Amazon Comprehend Amazon Polly sentiment Customer
  40. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Modernize your contact center to improve customer service Voice of customer analytics with AI Amazon S3 Amazon Athena Amazon Translate Amazon Comprehend Amazon Transcribe sentiment, entities, and key phrases Call Recordings Transcription and analysis of historical call recordings enables VOC assessment over time • products & issues • topics & sentiment
  41. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Meaningful customer interactions Liberty Mutual uses Amazon Lex and AI Services to develop natural language-driven conversational apps to allow customer service agents to respond to customer requests with real-time and contextual intelligence, improving response time, and quality of service.
  42. GE Appliances uses Amazon Lex, Amazon Connect, Amazon Polly and Amazon Transcribe to automate customer service requests such as looking up product information and recording customer requests, thereby increasing contact center efficiency and improving customer service. Meaningful customer interactions
  43. Fast time to value NHS Business Services implemented Amazon Connect with Amazon Lex and Amazon Polly to improve their call center operations Following the initial deployment, 42% of calls were managed by the automated chatbot with no increase in call dropouts, saving the NHS $650K a year Business Services Authority
  44. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Use AI services to strengthen safety & security accurate facial analysis | identity protection | metadata extraction A m a z o n C o m p r e h e n d A m a z o n R e k o g n i t i o n I m a g e A m a z o n R e k o g n i t i o n V i d e o
  45. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Real-time identity verification Aella Credit uses Amazon Rekognition to analyze images to verify an individual’s identity in real- time without human intervention, allowing it to provide instant loans to eligible customers through its mobile app.
  46. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Increase efficiency with automated document analysis optical character recognition (OCR) | automatic data extraction | natural language processing intelligent search | text analytics A m a z o n C o m p r e h e n d & C o m p r e h e n d M e d i c a l A m a z o n T e x t r a c t
  47. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Amazon Rekognition Amazon Transcribe Amazon ComprehendAmazon S3 AWS Step Functions AWS Lambda Amazon Elasticsearch Service image video audiodocs Amazon Translate Amazon Textract Amazon Neptune eDiscovery Web App Increase efficiency with automated document analysis eDiscovery: building a smart asset index
  48. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Accurately forecast future business outcomes forecasting technology used by Amazon.com | multiple time-series data forecast scheduling & visualization | supply chain integration A m a z o n F o r e c a s t
  49. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Personalize customer experiences with targeted recommendations recommendation technology used by Amazon.com | context-aware recommendations sentiment analysis | VoC analytics A m a z o n P e r s o n a l i z e A m a z o n C o m p r e h e n d A m a z o n R e k o g n i t i o n I m a g e A m a z o n R e k o g n i t i o n V i d e o
  50. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Personalizing customer experiences Domino’s uses Amazon Personalize to customize and scale relevant marketing communications to customers based on time, context, and content, thereby improving and enhancing their experience with the Domino’s brand.
  51. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Automate media workflows to reduce costs & monetize content content moderation | contextual ad insertion | searchable media library custom facial recognition | multi-language metadata search A m a z o n C o m p r e h e n d A m a z o n R e k o g n i t i o n I m a g e A m a z o n R e k o g n i t i o n V i d e o A m a z o n T r a n s c r i b e A m a z o n T r a n s l a t e A m a z o n T e x t r a c t
  52. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Automate media workflows to reduce costs & monetize content Automated moderation & compliance • Filter inappropriate images • Build a fast take-down switch • Adjacency – display ads alongside suitable content • Redact faces, people, weapons • Bleep censor profane speech • Mask or remove personally identifiable information • Align content to ratings standards • Enforce acceptable use policies • Adopt culturally sensitive criteria for global content
  53. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Safe Explicit NuditySuggestive Confidence: 98.39% Type: male, skin, shoulders Confidence: 99.27% Type: nudity Automate media workflows to reduce costs & monetize content Detecting unsafe content
  54. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Automate media workflows to reduce costs & monetize content Detecting unsafe content Top-Level Category Second-Level Category Confidence Threshold Explicit Nudity Nudity XX.X% Graphic Male Nudity XX.X% Graphic Female Nudity XX.X% Sexual Activity XX.X% Partial Nudity XX.X% Suggestive Female Swimwear or Underwear XX.X% Male Swimwear or Underwear XX.X% Revealing Clothes XX.X% fine-grain thresholds trigger status: • approve • reject • review uploaded content classified against the hierarchical taxonomy
  55. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Tag, filter, and redact inappropriate content redact faces detect weapons Drink 96.4% Alcohol 80.1% Wine 69.9% tag culturally sensitive content Automate media workflows to reduce costs & monetize content
  56. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Personally identifiable info in images ✓ Detection ✓ Recognition ✓ Coordinates ✓ Classification w/ confidence levels w/ confidence levels Automate media workflows to reduce costs & monetize content
  57. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Upload content for classification and use confidence percentage to determine which images and video require human review Amazon RekognitionAmazon S3 AWS Lambda image video Human Review Approved Content Rejected Content Confidence level • safe/unsafe • objects • people • text Automate media workflows to reduce costs & monetize content
  58. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T A full multi-media architecture provides a single pipeline to enable content moderation and compliance use cases using image, video, speech and text Amazon Rekognition Amazon Transcribe Amazon Comprehend Amazon S3 AWS Step Functions AWS Lambda Amazon Elasticsearch Service image video audiotext Automate media workflows to reduce costs & monetize content
  59. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Scaling video indexing C-SPAN uses Amazon Rekognition to automatically index video news footage for search. With Amazon Rekognition, C-SPAN reduced indexing time per video from 1 hour to 20 minutes and uploaded 97,000 images in under 2 hours.
  60. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Scaling real-time translation Using Amazon Translate, Lionbridge is able to scale machine translation in order to localize content faster and in more languages. Using Translate, Lionbridge was able to reduce translation costs by 20 percent.
  61. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Understand the voice of your customer sentiment analysis | app localization | translation services | transcription services | cataloging media | accessibility A m a z o n T r a n s c r i b e A m a z o n T r a n s l a t e A m a z o n C o m p r e h e n d A m a z o n R e k o g n i t i o n I m a g e A m a z o n R e k o g n i t i o n V i d e o
  62. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Understand the voice of your customer Voice of customer analytics with AI Email AWS Lambda Product Reviews AWS Lambda Social Media Amazon Kinesis Amazon S3 Amazon Athena Amazon Translate Amazon Comprehend Amazon Transcribe sentiment, entities, and key phrases Call Recordings
  63. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Targeted customer acquisition VidMob uses Amazon Rekognition and Amazon Transcribe for metadata extraction and sentiment analysis, to help marketers understand which videos resonate with audiences. This allows marketers to promote targeted content to acquire new customers.
  64. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Amazon Comprehend Medical Extract information from unstructured medical text accurately and quickly 1.2B unstructured clinical documents created per year Critical information “trapped” in these documents Difficult to extract insights
  65. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Amazon Comprehend Medical Extract information from unstructured medical text accurately and quickly Entities • Medication • Medical condition • Test, Treatments and Procedures • Anatomy • Protected Health Information (PHI) Relationship Extraction • Medication and dosage • Test and result • Many more Entity Traits • Negation • Diagnosis, Sign or Symptom Protected Health Information Identification (PHId API)* Distill a complex process into a simple API call Medical Named Entity and Relationship Extraction (NERe API) Service is HIPAA Eligible and “Stateless”, no customer data stored *This API extracts Protect Health Information only at lower cost.
  66. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Protected Health Information (PHI) Mr. Smith: Name 63: Age Mr. Smith is a 63-year-old gentleman with coronary artery disease and hypertension. CURRENT MEDICATIONS: taking a dose of LIPITOR 20 mg once daily aws comprehend-medical detect-entities --region us- east-1 --text “<Insert Text Here>” Named Entities Amazon Comprehend Medical NERe API
  67. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Amazon Comprehend Medical NERe API CURRENT MEDICATIONS: taking a dose of LIPITOR 20 mg once daily aws comprehend-medical detect-entities --region us- east-1 --text “<Insert Text Here>” Relationship Extraction
  68. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Amazon Comprehend Medical NERe API What are Entity Traits? (1) Negation (2) Diagnosis, sign or symptom Rash Discontinue Abraxane, patient denies taking Tylenol 325 mg and is not taking calcium carbonate, patient also stopped taking cholecalciferol 1,000 units PO Entity Traits
  69. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Amazon Comprehend Medical PHId API Mr. Smith is a 63-year-old gentleman with coronary artery disease and hypertension. He currently lives in Seattle and works as a teacher. His PCP, Dr. John, works at the University of Washington aws comprehend-medical detect-phi --region us-east-1 -- text “<Insert Text Here>” In addition to extracting PHI, the PHId API identifies relevant patient identifiers described in HIPAA Safe Harbor method of de-identification Protected Health Information
  70. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Amazon Comprehend Medical Use cases Patient & population health analytics Clinical Trial managementRevenue cycle management (Medical Coding) Pharmacovigilance PHI Compliance What else?
  71. Thank you! S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
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