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BDA302 Building Intelligent Apps with AWS Machine Learning Language Services

  1. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Vikram Anbazhagan Head of Product – Language Tech BDA302 Building Intelligent Apps with Amazon Machine Learning – Language Services
  2. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Frameworks & Infrastructure AWS Deep Learning AMI GPU (P3 Instances) MobileCPU IoT (Greengrass) Vision: Amazon Rekognition Image Amazon Rekognition Video Speech: Polly Transcribe Language: Lex Translate Comprehend Apache MXNet PyTorch Cognitive Toolkit Keras Caffe2 & Caffe TensorFlow Gluon Application Services Platform Services Amazon Machine Learning Mechanical Turk Spark & EMR Amazon SageMaker AWS DeepLens Amazon confidential Amazon Machine Learning Stack
  3. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Powerful language capabilities Amazon Transcribe Automatic conversion of speech into accurate, grammatically correct text Amazon Translate Natural and fluent language translation Amazon Polly Turn text into lifelike speech using deep learning Amazon Comprehend Discover insights and relationships in text Amazon Lex Conversational interfaces for text-based and voice-based applications
  4. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Common Language Use Cases Information Bots Education Accessibility Knowledge Management Voice of Customer Applications Customer Service/ Call Centers Enterprise Digital Assistant Semantic Search Captioning Workflows LocalizationPersonalization
  5. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. How do you make your applications conversational?
  6. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Lex A service for building conversational interfaces into any application using voice and text
  7. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Lex
  8. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Lex Social Intelligence Personality Modality Dynamic Conversation • Built in error handling allows you to manage unexpected scenarios • Intent chaining can be used to build a conversation flow based on user input • Rich formatting capabilities can be leveraged for a more engaging experience • Create conversation combining speech and text in the same session • Select from multiple prompts to give your bot a personality • Choose from a range of Amazon Polly voices depending on target audience • Use AWS Lambda to personalize the conversation based on user’s social profile • Context is maintained allowing you to build intelligent conversations
  9. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Lex – Use Cases 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 ….
  10. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. How do you give your applications a voice?
  11. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Polly A Text-to-Speech service that uses advanced deep learning technologies to synthesize speech that sounds like a human voice
  12. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Polly • Content Creation • Mobile & Desktop Applications • Internet of Things (IoT) • Education & E-Learning • Telephony • Game Development Use Cases • 52 Voices across 25 languages • Lip-Syncing & Text Highlighting • Fine-grained Voice Control • Custom Vocabularies • Available in 14 AWS regions Key Features
  13. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Polly: Use Cases Voiced Notifications Special Needs AI Assistant AI Radio Announcer Video Creation Amazon Polly Navigation Podcasting
  14. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. How do you extract insights from unstructured text?
  15. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Comprehend A fully managed and continuously trained service that helps you extract insights from unstructured text
  16. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Comprehend Sentiment Entities LanguagesKey phrases Topic modeling
  17. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Comprehend: Natural Language Processing 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 t h , 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
  18. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Popular Text Analytics Use Cases Content Personalization: Customers are using Comprehend NLP output to understand related documents based on entities, phrases or even topic similarities for trends analysis, to drive content personalization and recommendations Semantic Search: Customers using Amazon Comprehend to index entities for boosting and ranking search results. Intelligent data warehouse: Customers are using Amazon Comprehend to query unstructured data in relational databases, processing data within the data lake (S3) and then inserting it back into the data warehouse Social Analytics: Customers are using Amazon Comprehend to ingest, process and analyze trends from entities and sentiment from social media posts across Twitter and Facebook.
  19. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. AWS Text Analytics Workload Amazon Kinesis Amazon ES Amazon Redshift Amazon EMR • Semantic • Rich Filtering • Grouping, Trends • Joining, Correlating • Clustering • Graph, Search • Near real-time • Alerts Amazon S3 Social Media, Support Amazon Aurora Articles, Documents
  20. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. How do you make your applications listen?
  21. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Transcribe A fully managed and continuously trained automatic speech recognition (ASR) service that takes in audio and automatically generates accurate transcripts
  22. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Transcribe: Automatic Speech Recognition Time stamps and confidence scores Support for both regular and telephony audio Punctuation § S3 integration Hello/ Hola English and Spanish with more to come Detect multiple speakers Custom vocabulary
  23. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Transcribe: Use Cases Call Centers Subtitles for VOD Broadcast closed captions Transcribe meetings
  24. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. AWS Lambda Amazon S3 Amazon Athena Audio Input Amazon QuickSight Amazon Comprehend Amazon Transcribe—Integration with AWS
  25. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. How do you make your applications multilingual?
  26. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Translate A fully managed and continuously trained neural machine translation service that translates text from one language to another
  27. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Translate: Features TRANSLATE TEXT INPUT and TAGGED INPUTS (e.g., HTML) REAL-TIME TRANSLATION OF ~30 WORDS (i.e., <500ms) ENGLISH <> ARABIC, SIMPLIFIED CHINESE, FRENCH, GERMAN, SPANISH & PORTUGUESE LANGUAGE DETECTION VIA COMPREHEND AWS SECURITY STANDARDS AVAILABLE IN US EAST (N. VIRGINIA), US EAST (OHIO), US WEST (OREGON) & DUBLIN EASY TO USE AND INTEGRATE VIA CLI OR SDKs BEST IN CLASS RETURN ON INVESTMENT
  28. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. USE FOR HIGH VOLUME AND TIME-SENSITIVE INFORMATION Share of worldwide digital content • Legal Documents • Healthcare Documents • Advertising Materials Machine Translation • User-authored content • Text Analytics • Real-time Communication • Content Discovery Post-edited Machine Translation
  29. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Contact Center Demo Yasser El-Haggan, Solutions Architect yhaggan@
  30. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Connect Amazon S3 Amazon Kinesis Data Firehose Amazon Kinesis Streams Amazon S3 CTRs Call Recordings Amazon QuickSight Amazon Athena Transcribe Recordings Sentiment Analysis Transform CTRs Amazon S3 Looking ahead - Analytics with Transcribe and Comprehend
  31. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Connect Amazon Kinesis Data Firehose Amazon Kinesis Streams Raw CTRs AWS Glue Transformed CTRs Amazon QuickSight Amazon Athena CTR Transformation
  32. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Connect Amazon S3 Call Recordings Step Function Split recording Agent Recording Customer Recording Kick off transcription Step FunctionKick off transcription Transcript Transcription
  33. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Transcription – Step Function
  34. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Transcription – submit transcription
  35. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Transcription – get status
  36. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Transcription – job completed
  37. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Transcription – write transcript
  38. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Transcript Process transcript Sentiment Result Kinesis Data Firehose entities Kinesis Data Firehose Kinesis Data Firehose key phrases sentiment Sentiment Analysis
  39. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Sentiment Analysis Entities: Key Phrases:
  40. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Connect Amazon S3 Kinesis Data Firehose Amazon Kinesis Streams Amazon S3 CTRs Call Recordings Amazon QuickSight Amazon Athena Transcribe Recordings Sentiment Analysis Transform CTRs Amazon S3 Architecture recap
  41. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Social Analytics Demo Ben Snively, Solutions Architect snivelyb@
  42. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  43. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Analyze social media postings and comments to organize and classify customer feedback and look for common patterns. Twitter Stream API Amazon Kinesis Amazon S3 Amazon Athena Visualize results in Amazon QuickSight
  44. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Todd Greene Founder & CEO, PubNub
  45. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. PubNub ChatEngine & Amazon Machine Learning Services
  46. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. PubNub Real-Time Messaging APIs Rich APIs to power every real-time experience Global replication for 99.999% reliability Managed infrastructure delivers unlimited scalability Multiple layers of security & encryption (HIPAA, GDPR, SOC 2) Event-driven Development made easy ✔ ✔ ✔ ✔
  47. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Common PubNub Use Cases Real-time Updates Chat/ Collaboration IoT Device Control
  48. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Great Chat Is Complex to Build ? ? ? ? How do you add rich features like translation and chatbots? How do you track online status of your users? How to build chat history and support privacy laws/GDPR? How do you reliably and quickly deliver messages globally?
  49. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  50. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Private and Group Chat No backend / servers neededUnread Message Counts Typing IndicatorsRich Message History User Online SearchPush Notifications for Offline Users Read ReceiptsBasic UI Components for Chat Scale to 1+ Million Users in Chat Room Emojis Serverless, event driven design
  51. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. ChatEngine + Amazon APIs Demo
  52. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Thank You! vikrama@amazon.com
  53. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Please complete the session survey in the summit mobile app.
  54. Submit Session Feedback 1. Tap the Schedule icon. 2. Select the session you attended. 3. Tap Session Evaluation to submit your feedback.
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