We have entered a stage where innovation and creativity are accelerating for those who are using advanced technology platforms, shared learning, and artificial intelligence to unlock new todays. AWS is at the forefront of innovation in AI, and we are using it to fundamentally change how we run our businesses and the experiences our customers have. This session will cover AWS AI services and how Amazon is using AI to enhance customer experience. 在我們這個世代，正在操作先進的技術平台、共享學習和人工智能的同仁都必須具備及不斷提高他們的創新和創造力，以開拓未來。AWS處於人工智能創新的尖端，我們正在使用它從根本上改善如何營運我們的業務，以及提高客戶的使用體驗。 本次線上研討會將涵蓋AWS AI 服務以及 Amazon 如何使用AI來提高客戶體驗。

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David Wong
Business Development, Hong Kong & Macau
March 2018
Unlocking New Todays
Artificial Intelligence and Data Platforms on AWS

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Sponsor

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

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Scientific breakthroughAutonomous machinesSeamless experience

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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

7. 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

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

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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

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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

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Autonomous Driving Systems
*Movie removed

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

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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

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

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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

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Amazon AI
Intelligent Services Powered By Deep Learning

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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

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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

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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

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

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Rekognition: Object & Scene Detection

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

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Rekognition Video Analysis Service

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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

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

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“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

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

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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

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Example of extracting insights from text:
Entity: Location -> City
Entity: Typhoon Hato
Sentiment: positive Language: English
“My compliments on the very rapid
road openings in Hong Kong following
Typhoon Hato ( )”
Amazon Comprehend: Natural Language Processing

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

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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

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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

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© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
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

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

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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.

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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
• Ability to differentiate between two or more
speakers
• Punctuation and formatting
• Integration with S3

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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

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A fully managed service that enables data scientists and developers to quickly and easily
build machine-learning based models into production smart applications.
Amazon SageMaker

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End-to-End
Machine Learning
Platform
Zero setup Flexible Model
Training
Pay by the second
$
Amazon SageMaker
Build, train, and deploy machine learning models at scale

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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

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SageMaker
Notebooks
Training
Algorithm
SageMaker
Training
Amazon ECR
Code Commit
Code Pipeline
SageMaker
Hosting
Coco dataset
AWS
Lambda
API
Gateway
SageMaker Sample End-to-End Architecture: Style Transfer
Build
Train
Deploy
static website hosted on S3
Inference requests
Amazon S3
Amazon
Cloudfront
Web assets on
Cloudfront

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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

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AWS Deep Learning AMI
• Get started quickly with easy-to-launch tutorials
• Hassle-free setup and configuration
• Pay only for what you use – no additional charge for
the AMI
• Accelerate your model training and deployment
• Support for popular deep learning frameworks

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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

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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

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Amazon EC2 P3 Instances (October 2017)
• Up to eight NVIDIA Tesla V100 GPUs
• 1 PetaFLOPs of computational
performance – 14x better than P2
• 300 GB/s GPU-to-GPU communication
(NVLink) – 9X better than P2
• 16GB GPU memory with 900 GB/sec peak
GPU memory bandwidth
T h e f a s t e s t , m o s t p o w e r f u l G P U i n s t a n c e s i n t h e c l o u d

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Model
Training
Inference
in the Cloud
Inference
at the Edge
Infrastructure to support model build and deploy

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

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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...

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Ingest ServingData
sources
Modern data architecture
Insights to enhance business applications, new digital services
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

52. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Ingest ServingData
sources
Modern data architecture
Insights to enhance business applications, new digital services
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

53. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Ingest ServingData
sources
Modern data architecture
Insights to enhance business applications, new digital services
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

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Unlock new todays

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AWS Facebook Hong Kong Page

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Remember to complete
your evaluations!

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Thank you!