Amazon AI services bring natural language understanding (NLU), automatic speech recognition (ASR), visual search and image recognition, text-to-speech (TTS), and machine learning (ML) technologies within reach of every developer. Amazon Lex make it easy to build sophisticated text and voice chatbots, powered by Alexa; Amazon Rekognition provides deep learning-based image recognition; and Amazon Polly turns text into lifelike speech.  In this workshop, you'll get a chance to use each of the new deep learning services. We'll see you there!

1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon AI
November 30, 2016
NEW LAUNCH! Workshop: Hands on with
Amazon Lex, Amazon Polly, and Amazon
Rekognition
MAC308

2. Amazon Polly
• A service that converts text into lifelike speech
• Offers 47 lifelike voices across 24 languages
• Low latency responses enable developers to build
real-time systems
• Developers can store, replay and distribute
generated speech

3. Voicing your blog
https://github.com/awslabs/amazon-polly-sample

4. AWS Blog

5. Architecture
RSS Feed Amazon Polly
Amazon
CloudWatch
Amazon S3AWS Lambda
1. Trigger
2. Check
3. Content
4. Text 5. Audio
6. Audio

6. Workshop & Demo

7. Source
from boto3 import Session, resource
from contextlib import closing
polly = Session().client(”polly")
response = polly.synthesize_speech(
Text="Sample content",
OutputFormat="mp3", VoiceId="Joanna")
with closing(response["AudioStream"]) as stream:
bucket = resource("s3").Bucket("podcasts")
bucket.put_object(Key="output.mp3",
Body=stream.read())

8. Summary
RSS Feed Amazon Polly
Amazon
CloudWatch
Amazon S3AWS Lambda
1. Trigger
2. Check
3. Content
4. Text 5. Audio
6. Audio

9. Code & instructions
https://github.com/awslabs/amazon-polly-sample

10. Other use cases

11. Thank you!

12. What to Expect from the Session
 Introduction to Amazon Lex
 Create a movie bot to book tickets
 Build Lex bot
 Configure Lambda Functions
 Wire Lex bot to Lambda Functions
 Create Cognito Federated Identity Pool
 Create Android App

13. Amazon Lex:
A new service for building
conversational interfaces
using voice and text

14. 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 ….

15. AWS Lambda
Android
Amazon Lex

16. Architecture
Mobile App Amazon Lex
Speech Recognition &
Natural Language
understanding
AWS Lambda:
Business Logic
Amazon CloudWatch
Monitoring
User input
Polly TTS
Speech
Text
…..
…..
DynamoDB
SNS
1:”Where is Trolls playing
tomorrow?”
2: Amazon Lex recognizes that the user
wants to look up movie show times
4: Movie times are retrieved via
searchMovies () API
5: “Trolls is playing at
Movie Palace 16”
3: Amazon Lex engages in
multi-turn conversation to
get additional information
such as city, time, etc

18. Let’s build!

19. 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

20. How Do I Get Started Using
Amazon Lex?

21. Register for the Preview @
aws.amazon.com/lex
Sign-up & whitelist
Build your first bot!
✔
✔
✔

22. Thank you!

23. Amazon Rekognition

24. Q & A

25. Thank you!

26. Remember to complete
your evaluations!

27. Related Sessions
DCS205 - Workshop: Building Serverless Bots on AWS – Botathon