Artificial Intelligence (AI) is enhancing many of the services that we interact with today. It can improve the customer experience of many services to make them more accessible, whilst providing information faster in a format that feels more natural. AWS provides a collection of highly scalable, pre-trained and pre-tuned managed AI services that you can adopt without any previous artificial intelligence or deep learning knowledge. In this webinar, Steve explains how to implement each of these services to improve the user journey for a flight booking and check-in system. The AWS solutions discussed here include Amazon Polly, which provides audio instructions for sight-impaired users and Amazon Rekognition, which provides an additional layer of security during the check-in process, matching users with customer data on file. Finally, Amazon Lex is used to enable customers to make future flight bookings using only their voices. Learning objectives: - Understand why you may wish to use AI in your applications today - Identify the common AI challenges and practical use cases for Amazon AI services - Implement Amazon AI services without a PhD or Data Science background

1. Using AI to enhance your
Customer Experience
Dr. Steven Turner
Enterprise Solutions Architect

2. Learning objectives for this session
• Understand why you may wish to use AI in your applications
today
• Understand how you can build AI-based services without
any math or data science knowledge
• Demo of an AI-driven, serverless app for a flight check-in
service using image recognition and voice-based booking

3. Poll Question 1
How well do you know Artificial Intelligence &
Machine Learning?

4. Artificial Intelligence & Deep Learning At Amazon
Thousands Of Employees Across The Company Focused on AI
Discovery &
Search
Fulfilment &
Logistics
Add ML-powered
features to existing products
Echo &
Alexa

5. Amazon AI
Bringing Powerful Artificial Intelligence To All Developers

7. Amazon Rekognition
Image Recognition And Analysis
Powered By Deep Learning
1

8. Amazon Rekognition
Deep learning-based image recognition service
Search, verify, and organize millions of images
Object and Scene
Detection
Facial
Analysis
Face
Comparison
Facial
Recognition
Image Moderation

9. Face Comparison
Measure the likelihood that faces in two images are of the
same person
• Add face verification to
applications and devices
• Extend physical security
controls
• Provide guest access to VIP-
only facilities
• Verify users for online
exams and polls

10. Media Case Study
Identify who is on camera at what time for each of 8 networks
so that recorded video streams can be indexed and searched
Video frame-sampling facial recognition solution using Amazon
Rekognition:
• Indexed 97,000 people into a face collection in 1 day
• Sample frames every 6 secs and test for image variance
• Upload images to S3 and call Rekognition to find best facial match
• Store time stamp and faceID metadata

11. Amazon Polly
Text To Speech Powered By Deep Learning
2

12. Amazon Polly: Text In, Life-like Speech Out
Amazon Polly
“The temperature
in WA is 75°F”
“The temperature
in Washington is 75 degrees
Fahrenheit”
48 voices spread across 24 languages

13. Duolingo voices its language learning service Using Polly
Duolingo is a free language learning service where
users help translate the web and rate translations.
With Amazon Polly our users
benefit from the most lifelike
Text-to-Speech voices
available on the market.
Severin Hacker
CTO, Duolingo
”
“ • Spoken language crucial for
language learning
• Accurate pronunciation matters
• Faster iteration thanks to TTS
• As good as natural human speech

14. ”
“
Royal National Institute of Blind People creates and
distributes accessible information in the form of
synthesized content
Amazon Polly delivers
incredibly lifelike voices which
captivate and engage our
readers.
John Worsfold
Solutions Implementation Manager, RNIB
• RNIB delivers largest library of
audiobooks in the UK for nearly 2
million people with sight loss
• Naturalness of generated speech is
critical to captivate and engage readers
• No restrictions on speech
redistributions enables RNIB to create
and distribute accessible information in
a form of synthesized content
RNIB provides the largest library in the UK for people with sight loss

15. AmazonALEXA
(It’s what’s inside Alexa)
3
Natural Language Understanding (NLU) &
Automatic Speech Recognition (ASR) Powered By Deep Learning

16. Amazon Lex: Speech Recognition
& Natural Language Understanding
Amazon Lex
Automatic Speech Recognition
Natural Language Understanding
“What’s the weather
forecast?”
Weather
Forecast

17. Amazon Lex: Speech Recognition
& Natural Language Understanding
Amazon Lex
Automatic Speech Recognition
Natural Language Understanding
“What’s the weather
forecast?”
“It will be sunny
and 25°C”
Weather
Forecast

18. 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

19. Hotel Booking
City New York City
Check In Nov 30th
Check Out Dec 2nd
Hotel Booking
City New York City
Check In
Check Out
“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
“Your hotel is booked
for Nov 30th”
Polly
Confirmation: “Your hotel is
booked for Nov 30th”
a
in
“Can I go ahead with
the booking?”

20. ”
“ Finding missing persons:
~100,000 active missing
persons cases in the U.S.
at any given time
~60% are adults,
~40% are children
• Motorola Solutions applies Amazon
Rekognition, Amazon Polly and
Amazon Lex
• Image analytics and facial recognition
can continually monitor for missing
persons
• Tools that understand natural language
can enable officers to keep eyes up
and hands free
Motorola Solutions is using Amazon AI to help finding missing persons
Motorola Solutions keeps utility workers connected and
visible to each other with real-time voice and data
communication across the smart grid.

21. Enhancing the flying experience

22. Amazon
Airways

23. Demonstration

24. Poll Question 2
Do you plan to create or run an AI workload?

25. Thank you!