Build, Deploy & Operate Intelligent Chatbots with Amazon Lex

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Robert Cobb
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4 Advent of Conversational Interactions 1 st Gen: Punch Cards & Memory Registers 2 nd Gen: Pointers & Sliders 3 nd Gen: Conversational Interfaces 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

efficient and intuitive tools to build conversations; scales automatically @

7 Amazon Lex - Features Text and speech language understanding: powered by the same technology as Alexa Deployment to chat services Designed for builders: efficient and intuitive tools to build conversations; scales Versioning and alias support Enterprise SaaS connectors: connect to enterprise systems

8 Text and Speech Language Understanding Speech Recognition Natural Language Understanding Powered by the same deep learning technology as Alexa

9 Amazon Lex Dialog Management Native support & maintains context Deployment One-click deployment Speech to Intent ASR + NLU integrated into one API Text to Speech Amazon Polly integrated into API End to End Scale Completely managed service Business Logic Native integration with AWS Lambda Analytics Monitor and improve Security Encrypted data in transit & at rest

Designed for Builders Efficient and intuitive tools to build

11 Versioning and Alias Support v1 Dev v1 v2 v3 latest v2 v3 Stage Prod Supported for Intents, Slots & Bots Enables multi-developer environment Rollback to previous versions Deploy different aliases to different platforms Run different stacks for dev, stage & prod environments Target different user groups with different aliases Versioning Alias 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

Amazon Lex BookHotel Intents An Intent performs an action in response to natural language user input Utterances Spoken or typed phrases that invoke your intent Slots

12 Amazon Lex BookHotel Intents An Intent performs an action in response to natural language user input Utterances Spoken or typed phrases that invoke your intent Slots Slots are input data required to fulfill the intent Fulfilment Fulfilment mechanism for your intent 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

13 Book a Hotel Book a Hotel Hotel Booking in NYC New York City Book a Hotel in NYC Automatic Speech Recognition Natural Language Understanding Intent/Slot Model Hotel Booking Utterances City Check In Check Out New York City Nov 30 th Dec 2 nd Can I go ahead with the booking? Your hotel is booked for Nov 30 th Polly Confirmation: Your hotel is booked for Nov 30 th

14 Utterances I d like to book a hotel I want to make my hotel reservations Can you help me book my hotel? I want to book a hotel in New York City

15 Slots Slot Type Values destination City New York City, Seattle, London, Check In Date Valid dates Check Out Date Valid dates

16 Slot Elicitation I d like to book a hotel Sure what city do you want to book? New York City City New York City What date do you check in? Nov 30th Check In 11/30/2017

17 Fulfilment Intents and slots passed to AWS Lambda function for business logic implementation. User input parsed to derive intents and slot values. Output returned to client for further processing. AWS Lambda Integration Return to Client

18 Save, Build, and Publish Save Saving your bot preserves the current state on the server Build Building your bot creates versions that you can test Publish Publishing your app will create a version of your bot and provide an alias to your clients Test Test your bot in a chat window on the console

19 Monitoring Missed Utterance Count Request Latency Traffic by Channel Track your bot

20 Amazon Lex Pricing Text Speech Price per 1000 requests $0.75 $4.00 Free Tier* (requests per month) 10,000 5,000 *Available for the first year upon sign-up to new Amazon Lex customers

facebook.com/ian.massingham.aws https://bit.ly/rating-my-talk Connect Are you on Twitter? Voice over PSTN Facebook Channel Sure.

22 facebook.com/ian.massingham.aws Connect Are you on Twitter? Voice over PSTN Facebook Channel Sure. I'm on Twitter at twitter.com/ianmmmm. Follow me there. What about GitHub? Web App Lex You can find my GitHub account at

facebook.com/ian.massingham.aws https://bit.ly/rating-my-talk I want to leave feedback Which session do you want to leave feedback on?

23 facebook.com/ian.massingham.aws I want to leave feedback Which session do you want to leave feedback on? Which session do you want to leave feedback on? Ian What date was this session on? Deep Dive: Amazon Lex Today Which city did this session take place in?

24 Amazon Comprehend Sentiment Analysis Kinesis Stream Kinesis Firehose Delivery Steam Ingest Amazon Lex Intent Resolution Session Management Slot Extraction Channels (webhooks) AWS Lambda Dialog & Fulfilment Code Hook Slot Validation Slot Elicitation Amazon Kinesis Record Ingest Amazon Elasticsearch service Record Storage, Indexing & Search Dashboards 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

25 Connect Comprehend Voice over PSTN Facebook Channel Lex Lambda Kinesis Elasticsearch + Kibana Web App S3 Athena QuickSight

26 Dialogue & Validation Function Structure Intent Router Thanks RateSession Elicit & Validate Slots Post to Kinesis Stream ProvideFeedback Elicit & Validate Slots Sentiment Enrichment Post to Kinesis Stream

27 Amazon Lex - Technology Multi-Platform Clients: Mobile, IoT, Web, Chat AWS Services Cognito CloudTrail CloudWatch SDK End-Users Input: Speech or Text Output: Speech (via Polly TTS) or Text Authentication & Visibility Amazon Lex Action AWS Lambda Console Intents, Slots, Prompts, Utterances Speech API Language API Fulfillment API Developers Automatic Speech Recognition (ASR) Natural Language Understanding (NLU) Same technology that powers Alexa

29 Sign up for a free Build your first bot!

30 Thank You. Any questions? Score me & leave feedback with my Amazon Lex Chatbot at facebook.com/ian.massingham.aws Ian Massingham AWS Technical Evangelist 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

AI Made Simple. Christian Petters, Solutions Architect, Amazon Web Services

AI Made Simple. Christian Petters, Solutions Architect, Amazon Web Services AI Made Simple Christian Petters, cpetters@amazon.de Solutions Architect, Amazon Web Services 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon AI: New Deep Learning Services