Insert a touch of AI in your Apps

AWS wants to put AIML in the hands of every developers. We'll start by exploring services for hard core data scientists and demo Image Recognition algorithms on AWS Sagemaker. In a second phase, we will explore higher level services, available to all developers. We will explore natural language processing (NLU), speech recognition (ASR), speech generation (TTS) and others. I will show you how to create intelligent applications to better serve your customers.

Transcript

1. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential Sébastien Stormacq Technical Evangelist Amazon Web Service Insert a touch of AI in your apps @sebsto sebsto
2. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Put machine learning in the hands of every developer Our mission at
3. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. 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 The Amazon ML Stack: Broadest & Deepest Set of Capabilities A I S E R V I C E S R E K O G N I T I O N I M A G E P O L L Y T R A N S C R I B E T R A N S L A T E 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 L E X R E K O G N I T I O N V I D E O Vision Speech Chatbots A M A Z O N S A G E M A K E R B U I L D T R A I N F O R E C A S T T E X T R A C T P E R S O N A L I Z E D E P L O Y Pre-built algorithms & notebooks Data labeling (G R O U N D T R U T H ) One-click model training & tuning Optimization (N E O ) One-click deployment & hosting M L S E R V I C E S F r a m e w o r k s I n t e r f a c e s I n f r a s t r u c t u r e E C 2 P 3 & P 3 d n E C 2 C 5 F P G A s G R E E N G R A S S E L A S T I C I N F E R E N C E Reinforcement learning Algorithms & models ( A W S M A R K E T P L A C E F O R M A C H I N E L E A R N I N G ) Language Forecasting Recommendations
4. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. 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 The Amazon ML Stack: Broadest & Deepest Set of Capabilities A I S E R V I C E S R E K O G N I T I O N I M A G E P O L L Y T R A N S C R I B E T R A N S L A T E 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 L E X R E K O G N I T I O N V I D E O Vision Speech Chatbots A M A Z O N S A G E M A K E R B U I L D T R A I N F O R E C A S T T E X T R A C T P E R S O N A L I Z E D E P L O Y Pre-built algorithms & notebooks Data labeling (G R O U N D T R U T H ) One-click model training & tuning Optimization (N E O ) One-click deployment & hosting M L S E R V I C E S F r a m e w o r k s I n t e r f a c e s I n f r a s t r u c t u r e E C 2 P 3 & P 3 d n E C 2 C 5 F P G A s G R E E N G R A S S E L A S T I C I N F E R E N C E Reinforcement learning Algorithms & models ( A W S M A R K E T P L A C E F O R M A C H I N E L E A R N I N G ) Language Forecasting Recommendations
5. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. AI Services 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 A I S E R V I C E S R E K O G N I T I O N I M A G E P O L L Y T R A N S C R I B E T R A N S L A T E 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 L E X R E K O G N I T I O N V I D E O Vision Speech Chatbots F O R E C A S T T E X T R A C T P E R S O N A L I Z E Language Forecasting Recommendations
6. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Audio Input Example: End-to-end audio analysis store Amazon S3 trigger AWS Lambda call Amazon Transcribe in cascade Amazon Comprehend aggregate Amazon Athena analyze Amazon QuickSight
7. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Example: Media analysis solution S3: Web UI aws.amazon.com/answers/media-entertainment/media-analysis-solution/ S3: Media storage Step Functions: Orchestrate analysis Elasticsearch: Search index Amazon Rekognition Video: Detect objects, scenes, faces, & celebrities AWS Elemental MediaConvert: Transcode videos Transcribe Comprehend Lambda API Gateway: REST API Lambda
8. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Machine Learning APIs for : Vision
9. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Rekognition – Image and Video Analysis
10. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
11. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
12. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Optical Character Recognition (OCR)
13. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Object & Scene Detection
14. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Facial Analysis
15. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Face Search/Comparison
16. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Demo poliko.stormacq.com
17. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Machine Learning APIs for : Chatbots
18. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Lex A service for building conversational interfaces into your applications using voice and text
19. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Lex – Features Text and speech language understanding: powered by the same technology as Amazon Alexa Deployment to chat services (Web/Mobile Apps, Facebook, Kik, Slack, Twilio SMS) Designed for builders: efficient and intuitive tools to build conversations; scales automatically Versioning and alias support @
20. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Lex Bots – key concepts Utterances Spoken or typed phrases that invoke your intent BookHotel 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
21. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. “Book a hotel” Book hotel NYC “Book a hotel in NYC” Automatic speech recognition Hotel booking New York City Natural language understanding Intent/slot Model Utterances Hotel Booking City New York City Check in Nov 30th Check out Dec 2nd “Your hotel is booked for Nov 30th” Amazon Polly Confirmation: “Your hotel is booked for Nov 30th” “Can I go ahead with the booking? a in
22. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Utterances I’d like to book a hotel I want to make my hotel reservations I want to book a hotel in New York City Can you help me book my hotel?
23. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Slots Destination City New York City, Seattle, London … Slot Type Values Check in Date Valid dates Check out Date Valid dates
24. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Slot elicitation I’d like to book a hotel What date do you check in? New York City Sure, what city do you want to book? Nov 30th Check in 11/30/2017 City New York City
25. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Connect Self-service, cloud-based contact center service Real time and historical analytics High-quality voice capability Call recording Skills-based routing [Automatic Call Distribution (ACD)]
26. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Intelligent call center chatbot Amazon Connect Customer Amazon Lex Lambda: Fulfillment DynamoDB: Customer Data SNS: SMS Messaging Customer calls Connect to reschedule an appointment Connect calls Lex chatbot Lex chatbot calls Lambda function to get customer preferences and fulfil Intents Lambda function sends text message confirmation via SNS Customer receives appointment confirmation text message Lambda function writes updates to DynamoDB
27. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Demo Chat bot
28. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Machine Learning APIs for : Speech
29. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Polly Turn text into lifelike speech using deep learning
30. © 2019, 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 • 58 voices across 28 languages • Lip-syncing & text highlighting • Fine-grained voice control • Custom vocabularies • Available in 18 AWS Regions Key features
31. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Polly “Hi, my name is Seb…” Text-to-speech (TTS)
32. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Synthesize Speech API $ aws polly synthesize-speech --text "hello" --voice-id Matthew --output-format mp3 [--lexicon-names mylex1 mylex2] output.mp3 { "ContentType": "audio/mpeg", "RequestCharacters": "11" }
33. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. “With Amazon Polly our users benefit from the most lifelike Text-to-Speech voices available on the market.” Severin Hacker CTO, Duolingo
34. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Transcribe Turn speech into text
35. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. “Hello, this is Allan speaking” Amazon Transcribe Speech-to-text (STT)
36. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. English Italian French Spanish Portuguese Supported languages * * more languages coming soon!
37. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. ringDNA End-to-end communications platform for sales teams Enterprise organizations use RingDNA to dramatically increase productivity, engage in smarter sales conversations, gain predictive sales insights and improve their win rate Speech to Text "A critical component of RingDNA’s Conversation AI requires best of breed speech-to-text to deliver transcriptions of every phone call. RingDNA is excited about Amazon Transcribe since it provides high-quality speech recognition at scale, helping us to better transcribe every call to text " Howard Brown, CEO & Founder, RingDNA https://www.youtube.com/watch?v=1ZJ_f1bDdog
38. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Machine Learning APIs for : Language
39. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. How do you extract insights from unstructured text?
40. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. A fully managed and continuously trained service that helps you extract insights from unstructured text Amazon Comprehend
41. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Comprehend Sentiment Entities Languages Keyphrases Topic modeling Syntax
42. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Comprehend – Natural Language Processing Amazon.com, Inc. is located in Seattle, WA and was founded July 5, 1994 by Jeff Bezos. Our customers love buying everything from books to blenders at great prices Named Entities Amazon.com: Organization Seattle, WA : Location July 5th,1994: Date Jeff Bezos : Person Keyphrases Our customers books blenders great prices Sentiment Positive Language English
43. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Comprehend – Syntax API Our customers love buying everything from books to blenders at great prices Token (word) Part of Speech customers Noun love Verb books Noun great Adjective prices Noun
44. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Supported parts of speech ADJ – Adjective ADP – Adposition ADV – Adverb AUX – Auxiliary CCONJ – Coordinating Conjunction DET – Determiner INTJ - Interjection NOUN - Noun NUM – Numeral O – Other PART – Particle PRON – Pronoun PROPN – Proper Noun PUNCT – Punctuation SCONJ – Subordinating Conjunction SYM – Symbol VERB – Verb
45. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Syntax detection $ aws comprehend detect-syntax --language-code 'en' --text 'I love cloud!’ { "SyntaxTokens": [ { "TokenId": 1, "Text": "I", "BeginOffset": 0, "EndOffset": 1, "PartOfSpeech": { "Tag": "PRON", "Score": 0.9999802112579346 } }, ...
46. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Sentiment Analysis $ aws comprehend detect-sentiment --language-code 'en' --text 'I love cloud!’ { "Sentiment": "POSITIVE”, "SentimentScore": { "Mixed": 0.012617903761565685, "Positive": 0.9599817991256714, "Neutral": 0.021758323535323143, "Negative": 0.005641999188810587 } }
47. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Popular text analytics use cases Content Personalization • Understand related documents based on entities, phrases or even topic similarities for trends analysis, to drive content personalization and recommendations Semantic Search • Index entities for boosting and ranking search results Intelligent data warehouse • Query unstructured data in relational databases, processing data within the data lake (Amazon S3) and then inserting it back into the data warehouse Social Analytics • Ingest, process and analyze trends from entities and sentiment from social media posts across Twitter and Facebook
48. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Translate Yes, natural language translation J
49. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Supported languages * Arabic Simplified Chinese French German Spanish Portuguese Japanese Traditional Chinese Italian Russian Turkish Czech * 417 translation combinations Danish Dutch Finnish Swedish Polish Hebrew
50. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. «We operate 90 localized websites in 41 languages. (…) Having evaluated Amazon Translate and several other solutions, we believe that Amazon Translate presents a quick, efficient and most importantly, accurate solution. » Matt Fryer, VP and Chief Data Science Officer, Hotels.com
51. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Demo – Comprehend & Translate Hard Core CLI J
52. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Sébastien Stormacq Technical Evangelist Amazon Web Service @sebsto sebsto Thank you !