1.
Unlocking New Todays
David Wong
Business Development, Hong Kong & Macau
Artificial Intelligence and Data Platforms on AWS
Level 100

2.
Deep Learning will enable AI
Eventually everything connects
IoT / Mobile / Cameras / APIs
Large amounts of data will be
processed in real-time

3.
Perform tasks which normally require
human intelligence and the ability for a
computer system to adapt to humans and
interact in a natural manner, rather than
humans adapting to a system

4.
Scientific breakthroughAutonomous machinesSeamless experience

5.
1. Seamless experience - no more boundaries
Seamless
experience
Remove the hard edges that start and stop an experience
Provide customers with an immersive, natural experience that starts
and stops without artificial boundaries. These experiences include voice
enablement, movement detection, intelligent visual context, and are
responsive to intention.
Example Use Cases
Chatbots and roboadvisors Service fulfilment via Alexa Skills
Sentiment detection and response Immersive, enriched multimedia
Checkout-free shopping AI-enhanced sales associates
Facial detection for personalization Fraud detection and prevention

6.
Systems see which items
have been taken or returned
Machine learning understands
in-store and purchase patterns
Combination of computer vision,
sensor fusion, and deep learning
Just Walk Out Technology

7.
Personalized content
- Account access
- Track spending
- Check balances
- Pay bills
- Prevent fraud
Voice recognition understands
your requests
Natural speech responses
create conversation

8.
2. Autonomous machines - reliability and safety
Mechanized labor increases the ability to scale safely
Transform operations through autonomous systems -- offloading to
machines the undifferentiated or unsafe human tasks and decision
making. Systems can perform more efficiently, accurately, and safely at
scale.
Autonomous
Machines
Example Use Cases
Predictive maintenance Autonomous vehicles
Shop floor automation Zone access control and event ID
Robotic emergency response Ambient change detection

9.
Object identification and recognition Real Time, Per Pixel
Object Segmentation
Centimeter-accurate positioning
Deep learning creates models of
roads, navigation, relevant objects,
and driving decisions
Edge compute allows for real-time
decisions to be made in-vehicle
Autonomous Driving Systems

10.
Autonomous Driving Systems

11.
AI Computer Vision Implementation to
identify empty space and detect object
misplacements

12.
3. Scientific breakthrough - golden age of discovery
Solve fundamental needs for humans, animals, and the earth
Scientific discoveries using deep learning require tremendous compute
capabilities to build and validate models -- now available. Frameworks
and development platforms allow for a broadened community of users
from scientists to analysts.
Scientific
Breakthrough
Example Use Cases
Patient treatment & safety Agricultural yield optimization
Urban maintenance Livestock health and production
Quantum / particle advancements Utility grid efficiency

13.
Early Detection of Diabetic Complications
Deep learning can uncover insights in
imaging data that was time-intensive and
error-prone for humans to do

14.
Artificial Intelligence requires a rich set of technologies
and services to support the growing demands for
innovation.
Developers using our technologies may want to build at
different levels with fully managed application
services, with development platforms, with coding
frameworks, and directly leveraging specialized
infrastructure

15.
Amazon AI
Intelligent Services Powered By Deep Learning

16.
Vision Speech Language
Services
Platforms
Engines
Infrastructure
Amazon ML Spark & EMR
Kinesis Batch ECS
AWS Deep Learning AMI
MXNet TensorFlow Caffe Theano Keras PyTorch CNTK
GPU CPU IoT Mobile
Chat
NEW NEW NEW
NEW
Engines: Deep Learning
Infrastructure: Scale and Power
Amazon
SageMaker
Platforms: AI Model Creation
Services: AI-Assisted Applications

17.
Vision Speech Language
Services
Platforms
Engines
Infrastructure
Amazon ML Spark & EMR
Kinesis Batch ECS
AWS Deep Learning AMI
MXNet TensorFlow Caffe Theano Keras PyTorch CNTK
GPU CPU IoT Mobile
Chat
NEW NEW NEW
NEW
Engines: Deep Learning
Infrastructure: Scale and Power
Amazon
SageMaker
Platforms: AI Model Creation

18.
Amazon Rekognition
Image Recognition and Analysis powered by
Deep Learning allows search, verification,
and organization millions of images
Potential Use Cases
Searchable Image Library Detect Inappropriate Content in Images
Face-based User Verification Sentiment Analysis
Facial Recognition Celebrity Identification

19.
Demographic Data
Facial Landmarks
Sentiment Expressed
Image Quality
Brightness: 25.84
Sharpness: 160
General Attributes
Rekognition: Facial Detection

20.
Rekognition: Object, Scene & Activity Detection

21.
• Real-Time Face Recognition
• Crowd-Mode Face Detection
• Support for Recognition of Text
• Improved Face Detection
• Image Moderation
• Celebrity Detection
Continuous Feature Releases

22.
Rekognition Video Analysis Service

23.
Amazon Polly
Turn text into lifelike speech using deep
learning technologies to synthesize
speech that sounds like a human voice
Potential Use Cases
Content Creation Education & E-learning
Mobile & Desktop Applications Customer Contact Center
Internet of Things (IoT) Accessibility

24.
Amazon Polly
“The temperature
in Hong Kong is
33°C” “The temperature
in Hong Kong is 33 degrees
Celsius”
Amazon Polly: Text In, Life-like Speech Out

25.
“Amazon Polly gives GoAnimate users the ability to immediately give voice to the
characters they animate using our platform. This is especially helpful in scenarios where
live voice-over is either resource or time prohibitive, such as when developing a video in
many languages or within pre-production to speed the approval process.”
– Alvin Hung, CEO and founder, GoAnimate

26.
Language Services
Several new services launched to
speed the development of language
processing and translation in
applications

27.
Amazon Transcribe: Automatic Speech Recognition
Sample Use Cases Enabled
• Closed caption generation
• Customer service call transcriptions
• Keyword based Advertisement platform
enablement
An AWS service for customers to convert speech-to-text
Key Features
• Synchronous and asynchronous conversion
of speech into accurate text
• Supports both 16 KHz and 8 KHz data
• Punctuation and formatting
• Integration with S3
• Ability to differentiate between two or more
speakers (coming soon)

28.
Amazon Comprehend: Natural Language Processing
Deep Learning-based NLP to track and customize:
• Sentiment
• Entities
• Language
• Key Phrases
• Topic Modeling
• Trend Detection
Individual texts/messages or trends across large data sets
Integration with many sources and support in many languages

29.
Example of extracting insights from text:
Entity: Location -> City
Entity: Hurricane Sandy
Sentiment: positive Language: English
“My compliments on the very rapid road
openings in New York following Hurricane
Sandy”
Amazon Comprehend: Natural Language Processing

30.
Example of extracting insights from text:
Amazon Comprehend: Natural Language Processing

31.
Amazon Translate: Machine Translation
Neural Machine Translation between English and:
• Arabic
• Chinese (Simplified)
• French
• German
• Portuguese
• Spanish
… with more languages to follow

32.
Example of translating between languages:
Context aware: knows not to
translate “Amazon” to
“Amazonas“ (Amazon Jungle)
Learns to re-order words &
phrases according to the
grammar of each language
"Amazon Web Services is a collection of cloud computing services"
“Amazon Web Services es una colección de servicios de computación en la nube”
Amazon Translate: Machine Translation

33.
“We operate 90 localized websites in 41 languages. We have more than 25M Customer
reviews and more are coming in every day, making a great candidate for machine
translation. Having evaluated Amazon Translate and several other solutions, we believe
that Amazon Translate presents a quick, efficient and most importantly, accurate solution.”
-Matthew Fryer, VP and Chief Data Science Officer, Hotels.com
Amazon Translate: Machine Translation

34.
Amazon Lex
Conversational interfaces for your
applications, powered by the same
Natural Language Understanding
(NLU) & Automatic Speech Recognition
(ASR) models as Alexa
Potential Use Cases
Appointment Booking Customer Support
Informational Services Access Enterprise Data
Chatbots Voice Assistant

35.
Intents
A particular goal that the
user wants to achieve
Utterances
Spoken or typed phrases that
invoke your intent
Slots
Data the user must provide to fulfill the intent
Prompts
Questions that ask the user to input
data
Fulfillment
The business logic required to fulfill the user’s
intent
BookHotel

36.
Lex Bots
Salesforce
Microsoft Dynamics
Marketo
Zendesk
Web
Devices
Apps
Facebook Messenger,
Slack,
Amazon
Connect
Mobile
Mobile Hub
integration
Quickbooks
Amazon Lex: Conversational Chatbots

37.
Natural language interfaces for
automated customer service
Freshbots combine
Automatic Speech
Recognition (ASR) and
Natural Language
Understanding (NLU)
capabilities
Freshbots manage
workflows via voice.
Customer support agents
can use the voice interface
to change the status on a
ticket, update a case etc.

38.
Freshdesk + Lex enable users to interact and transact with businesses
in natural language – leading to significant productivity impact for customers

39.
Vision Speech Language
Services
Platforms
Engines
Infrastructure
Amazon ML Spark & EMR
Kinesis Batch ECS
AWS Deep Learning AMI
MXNet TensorFlow Caffe Theano Keras PyTorch CNTK
GPU CPU IoT Mobile
Chat
NEW NEW NEW
NEW
Engines: Deep Learning
Infrastructure: Scale and Power
Amazon
SageMaker

40.
Amazon SageMaker
1 2 3 4
I I I I
Notebook Instances 1P Algorithms ML Training Service ML Hosting Service

41.
Amazon Machine Learning
Managed machine learning service
• Easy to use, managed machine learning service
built for developers
• Classification
Sentiment analysis – Do people like my new product?
• Linear Regression
Trend prediction – How much revenue next month?
• Clustering
Recommendation - Other people bought this!
• Association
Market basket analysis – Bundled products
• Use data in Amazon S3, Amazon RDS or Amazon
Redshift
• Provides batch or real-time predictions
Amazon Machine
Learning

42.
Vision Speech Language
Services
Platforms
Engines
Infrastructure
Amazon ML Spark & EMR
Kinesis Batch ECS
AWS Deep Learning AMI
MXNet TensorFlow Caffe Theano Keras PyTorch CNTK
GPU CPU IoT Mobile
Chat
Amazon
SageMaker
NEW NEW NEW
NEW
Infrastructure: Scale and Power

43.
AWS Deep Learning AMIs ready for you
Quickly launch Amazon EC2 instances, pre-installed with popular deep learning
frameworks to train sophisticated, custom AI models, experiment with new
algorithms, or to learn new skills and techniques.
KERAS
More TensorFlow
applications are run on
AWS than any other
platform
Open source framework,
including convolutional
neural networks (CNNs)
and long short-term
memory (LSTMs)
High level API that is user-
friendly for a broader base,
to increase ease of use for
TensorFlow and others

44.
Support for all major frameworks
AWS Deep Learning AMI
Apache MXNet
Torch
Cognitive
Toolkit
Keras
Theano
Caffe2
& Caffe
TensorFlow
Amazon EC2
AnacondaIntel MKL
Nvidia CUDA &
cuDNN
Python2 &
Python3

45.
Vision Speech Language
Services
Platforms
Engines
Infrastructure
Amazon ML Spark & EMR
Kinesis Batch ECS
AWS Deep Learning AMI
MXNet TensorFlow Caffe Theano Keras PyTorch CNTK
GPU CPU IoT Mobile
Chat
NEW NEW NEW
NEW
Amazon
SageMaker

46.
Train model in the cloud Run model at the edge
AWS
Greengrass
AWS IoT
Tesla V100
120 TFLOPS
Amazon
EC2

47.
Fully integrate AI services into your applications, leveraging your existing
business data assets, your streaming data, your data lakes, and your
operational systems
Use blueprints for what has been done to achieve what is possible...

48.
Ingest ServingData
sources
Transactions
Web logs /
cookies
ERP
Data analysts
Data scientists
Business users
Engagement platformsConnected
devices
Automation / events
DATA PIPELINES
EVENT PIPELINES
Data
Event
Insights
Data
Lake
Social media
Modern data architecture
Insights to enhance business applications, new digital services

49.
Ingest ServingData
sources
Transactions
Web logs /
cookies
ERP
Data analysts
Data scientists
Business users
Engagement platformsConnected
devices
Automation / events
DATA PIPELINES
EVENT PIPELINES
Data
Event
Insights
Data
Lake
ML / Analytics
Social media
Modern data architecture
Insights to enhance business applications, new digital services

50.
Ingest ServingData
sources
Transactions
Web logs /
cookies
ERP
Data analysts
Data scientists
Business users
Engagement platformsConnected
devices
Automation / events
DATA PIPELINES
EVENT PIPELINES
Data
Event Engagement
Insights
Data
Lake
ML / Analytics
Predict /
Recommend
AI Services
Social media
Modern data architecture
Insights to enhance business applications, new digital services

51.
Unlock new todays

52.
Thank you!