© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

Vikram Anbazhagan, Amazon AI

November 30, 2016

MAC304

NEW LAUNCH! Introducing

Amazon LexService for Building Voice or Text Chatbots

Amazon Lex

Why did we build Amazon Lex?

What is Amazon Lex?

How do I get started using Amazon Lex?

Q&A

Why Did We Build

Amazon Lex?

Advent of Conversational Interactions

1st Gen:

Punch Cards & Memory Registers

2nd Gen:

Pointers & Sliders

3nd Gen:

Conversational Interfaces

Conversational Access

On-demand

Accessible

Efficient

Natural

Developer Challenges

Conversational interfaces need to combine a large number of

sophisticated algorithms and technologies

Speech

Recognition Language

Understanding

Business Logic

Disparate

Systems

Authentication

Messaging

platforms

Scale Testing

Security

Availability

Mobile

Amazon Lex:

A new service for building

conversational interfaces

using voice and text

Amazon Lex - Features

Text and speech language understanding: powered by the same technology as

Alexa

Enterprise SaaS connectors: connect to enterprise systems

Deployment to chat services

Designed for builders: efficient and intuitive tools to build

conversations; scales automatically

Versioning and alias support@

Text and Speech Language Understanding

Speech

Recognition

Natural Language

Understanding

Powered by the same deep learning technology as Alexa

Deployment to Chat Services

Facebook

Messenger

Mobile

Card Description

Button 1

Button 2

Button 3

Card

Description

Option 1

Option 2

Authentication

Rich FormattingOne-click deployment

Amazon Lex

Designed for Builders

Efficient and intuitive tools to build conversations

Versioning and Alias Support

AliasVersioning

• Supported for Intents, Slots, and Bots

• Enables multi-developer environment

• Rollback to previous versions

• Deploy different aliases to different platforms

• Run different stacks for dev, stage and prod environments

• Target different user groups with different aliases

v1 v2 v3 latest

v1 Dev

v2 Stage

v3 Prod

AWS Mobile Hub Integration

Authenticate users

Analyze user behavior

Store and share media

Synchronize data

More ….Track retention

Conversational BotsLexAWS Mobile SDKs

AWS Mobile Hub

Enterprise SaaS Connectors with Mobile Hub

Amazon Lex

Mobile App

Mobile Hub

SaaS Connector

Amazon API

Gateway

AWS

Lambda

1: Understand

user intent

Amazon API

Gateway

AWS

Lambda

3: Translate

REST response

into natural

languageMobile Hub

Custom Connector

2: Invoke a SaaS

application or an existing

business application

Business

Application

Firewall

User Input

Amazon Lex – Use Cases

Informational BotsChatbots for everyday consumer requests

Application BotsBuild powerful interfaces to mobile applications

• News updates

• Weather information

• Game scores ….

• Book tickets

• Order food

• Manage bank accounts ….

Enterprise Productivity BotsStreamline enterprise work activities and improve efficiencies

• Check sales numbers

• Marketing performance

• Inventory status ….

Internet of Things (IoT) BotsEnable conversational interfaces for device interactions

• Wearables

• Appliances

• Auto ….

Amazon Lex Benefits

High quality text and speech language

understanding

Built-in integration with the AWS platform

Seamlessly deploy and scale

Easy to use

Cost effective

Lex Bot Structure

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

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?

Slots

Destination City New York City, Seattle, London, …

Slot Type Values

CheckIn Date Valid dates

CheckOut Date Valid dates

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

11/30/2016

City

New York City

Fulfillment

AWS Lambda

Integration

Return to

Client

User input parsed to derive

intents and slot values.

Output returned to client for

further processing.

Intents and slots passed to

AWS Lambda function for

business logic

implementation.

“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

UtterancesHotel Booking

City New York City

CheckIn Nov 30th

CheckOut Dec 2nd

“Your hotel is booked for

Nov 30th”

PollyConfirmation: “Your hotel

is booked for Nov 30th”

“Can I go ahead

with the booking?

a

in

Save, Build, and Publish

Save Build

Saving your bot

preserves the current

state on the server

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

Monitoring

Monitor your bot

Latency

Missed Utterance Count

Traffic

Customer Testimonials: Capital One

“A highly scalable solution, it also offers potential to speed time to market for a new generation of voice

and text interactions such as our recently launched Capital One skill for Alexa.”

“As a heavy user of AWS, Amazon Lex’s seamless integration with

other AWS services like AWS Lambda and AWS DynamoDB is really

appealing.”

Customer Testimonials: HubSpot

“Through Amazon's Lex, we're adding sophisticated natural language processing capabilities that helps

GrowthBot provide a more intuitive UI for our users. Amazon Lex lets us take advantage of advanced A.I.

and machine learning without having to code the algorithms ourselves.”

“HubSpot's GrowthBot is an all-in-one chatbot which helps marketers and sales people be more

productive by providing access to relevant data and services using a conversational

interface. With GrowthBot, marketers can get help creating content, researching competitors,

and monitoring their analytics.”

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

Amazon Lex - Technology

Amazon Lex

Automatic Speech

Recognition (ASR)

Natural Language

Understanding (NLU)

Same technology that powers Alexa

Cognito CloudTrail CloudWatch

AWS Services

ActionAWS Lambda

Authentication

& Visibility

Speech

APILanguage

API

Fulfillment

End-Users

Developers

Console

SDK

Intents,

Slots,

Prompts,

Utterances

Input:

Speech

or Text

Multi-Platform Clients:

Mobile, IoT, Web,

Chat

API

Output:

Speech (via Polly TTS)

or Text

How Do I Get Started Using

Amazon Lex?

Register for the Preview @

https://aws.amazon.com/lex

Sign-up & whitelist

Build your first bot!

✔✔✔

Q & A

Thank you!

Remember to complete

your evaluations!