近年來，物聯網(IoT)產業正以驚人的速度成長中，相關的應用與服務也陸續問市，而包含物聯網(IoT)、人工智慧(AI)與機器學習(machine learning)等科技的革新，致使從新創企業乃至傳統產業皆投入這一波新科技的發展，更添產業動能，尤其是在製造業、運輸及物流、公共安全、智慧城市等幾大面向。 據消費及商業企業服務供應商JT Group白皮書預估，到2020年全球物聯網累計裝置量(installed base)將達204.1億台。更多企業也將改變其商業模式，由產品導向轉為服務導向，客戶機構採購的不再只是硬體產品，而是尋求整套完整的解決方案。AWS 即將於3/7 (四) 舉辦『AWS AIoT未來智造高峰論壇』，持續以創新、全球視野帶領您與您的企業一起探索物聯網價值最大化的關鍵。

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Richard Elberger, Global Partner Solutions Architect - IoT
Industrial IoT, Machine
Learning, and Innovation in
the AWS Cloud
March 7, 2019

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What is the true value of digital
for industrial customers?

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How do we get there?

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“AWS is our trusted partner that is going to run our company for the next 140 years,”
Jim Fowler, GE CIO

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Revenue
Growth
Operational
Overhead

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The true value of digital
Revenue
Growth
Operational
Overhead
Empowered
Sales Teams
Increased
Efficiency
Intelligent Decision
Making
Products that Get
Better with Time
Better Relationship
with Customers
Data Driven
Discipline

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Industry 1.0
Mechanical production
powered by water and
steam
Industry 2.0
Mass production based
on the division of labor
and powered by
electrical energy
Industry 3.0
Electronics and IT for a
further automation of
production
Industry 4.0
Cyber physical
production systems
18th Century 20th Century 1970s Today
The 4th Industrial Revolution

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What are the technical enablers of Industrie 4.0?
Autonomous
Robots
Simulation
Vertical & Horizontal
Integration
Industrial Internet of
Things
Cybersecurity
Cloud
Additive
Manufacturing
Augmented
Reality
Big Data
& Analytics
Cloud is one of the
9 standalone enablers
Cloud is the central
innovation enabler
across all disciplines and
industries

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Two predominant outcomes
Smart products and services are brought to market with smart factories
Smart Factories
Smart Products and
Services
Connectivity and Internet Technology
Smart Sensors and Actuators
Cloud Processing and Storage
Big Data Analytics and Artificial Intelligence

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Smart factories built on cloud computing
Smart factories – simple and adaptive
Global Data and
Integration Platform
Internal Focus
applications
Processes
Employees
Equipment
• Highly reliable
• Highly available
• Increased agility
• Increased innovation
• Lower total cost
• Knowledge capture

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applications
Smart products built on cloud computing
Smart products and factories – individualized and quickly brought to market
Global Data and
Integration Platform
Processes
Employees
Equipment
• Rich and adaptive
customer experience
• Innovation and quickly
bring to market
• Smart, connected and
updated
External Focus
applications

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What sets AWS apart?
Security Fine-grained control
Service Breadth & Depth
Pace of Innovation
140+ services to support any cloud workload; rapid customer driven releases
Experience: 1M+ customers Building and managing cloud since 2006
Global Footprint 20 regions, 61 availability zones, 121 edge locations
Artificial Intelligence Fully integrated in AWS
Ecosystem Thousands of partners; 3,800+ Marketplace products
Enterprise Leader
AWS is positioned highest in execution and furthest in vision within the
Leaders Quadrant

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Sample customers

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OperationsProductionProduction DesignProduct Design
Mechanical computer
aided design
Mechanical computer
aided engineering
Other engineering
Industrial software functional markets

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OperationsProductionProduction DesignProduct Design
Mechanical computer
aided design
Mechanical computer
aided engineering
Other engineering
Mechanical computer
aided engineering
Production Planning
Planning Engineering
Industrial software functional markets

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OperationsProductionProduction DesignProduct Design
Mechanical computer
aided design
Mechanical computer
aided engineering
Other engineering
Collaborative product data management (cPDM)
Logistics
Mechanical computer aided engineering
Production Planning
Planning Engineering
Manufacturing
Enterprise Asset
Management
Industrial software functional markets

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OperationsProductionProduction DesignProduct Design
Mechanical computer
aided design
Mechanical computer
aided engineering
Other engineering
Collaborative product data management (cPDM)
Logistics
Mechanical computer aided engineering
Production Planning
Planning Engineering
IIoT
Manufacturing
Enterprise Asset
Management
Manufacturing
Enterprise Asset
Management
Industrial software functional markets

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AWS Industrial IoT
Reference Architecture
AWS Manufacturing
Reference Architecture

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AIoT – Machine Learning at the Edge
Data transport and routing
Data aggregation, enrichment,
cleansing, time series, and model config
Machine learning and model generation
Data collection and model inference
Intelligence
and outcomes
Train in the cloud and infer at the edge
Amazon
FreeRTOS
AWS IoT
Greengrass
AWS IoT
Core
AWS IoT
Analytics
Amazon
SageMaker

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Data collection and model
inference

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Will it work on my chip? Does it have the
functionality I need?
How do I start?Where do I get it?
10101011010
10111010110
10101010101
00101010101
00101001010
10111010101
10011001011
00100101101
?
Amazon FreeRTOS is a microcontroller operating system that makes small, low
powered edge devices easy to program, deploy, secure, connect, and maintain.
Amazon FreeRTOS

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Will it work on my chip? Does it have the
functionality I need?
How do I start?Where do I get it?
EMBEDDED APPS
FreeRTOS
HW DRIVERS
SECURTIY
LIBRARIES
CONNECTIVITY
LIBRARIES
OVERTHAAIR
(OTA)AGENT
CLOUD&
GREENGRASS
LIBRARIES
HELLO
Amazon FreeRTOS is a microcontroller operating system that extends the popular FreeRTOS kernel to
enable devices to securely connect to AWS, while making them easy to manage, deploy, and update.
Amazon FreeRTOS

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Local Connectivity
Libraries
Cloud Connectivity
Libraries
Security Connectivity
Libraries
OTA &
Code Signing
Amazon FreeRTOS
Communicate with AWS
IoT Greengrass devices
without a cloud connection
Easily collect data and take
actions on microcontroller-
based devices
Secure device data and
connections
Deploy security updates, bug
fixes, and firmware updates
to devices in the field

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Edge Cloud
Law of Economics
Law of Physics
Law of the Land
AWS IoT Greengrass
AWS IoT Greengrass extends AWS IoT onto your devices, so that they can act
locally on the data they generate, while still taking advantage of the cloud.

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Data and
State Sync Security
Over the
Air UpdatesConnectors
Operate
devices offline &
synchronize data
when reconnected
Local
Actions
Simplify device
programming
with AWS
Lambda
Mutual
authentication &
authorization
between cloud
and devices
Easily update AWS
IoT Greengrass
Core
Machine
Learning
Inference
Perform ML
Inference
locally
Local
Resource
Access
AWS Lambda
functions can
access & use local
resources of a
given device
Extend edge
devices with
connections to
external services
Local
Messages
and Triggers
Enable device
communication
without a cloud
connection
Secrets
Manager
Deploy secrets to
edge devices
AWS IoT Greengrass

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Structure your data and specify
performance metrics for your assets
and processes
Easily browse equipment and process data,
build data views to identify inefficiencies,
diagnose issues, and improve
cross-facility processes
AWS IoT SiteWise collects data from the plant floor with a local gateway,
structures & labels that data, and generates real time KPIs & metrics to make
better data-driven decisions.
See your data flowing in minutes without
writing code, just connect and configure
your gateway
AWS IoT SiteWise

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Customizable
Views
Data Management
and Modeling Tools
Remotely
Manageable
Edge Gateway
Access data from
local databases on
the factory floor
Collect data
consistently from
different sources
Visually identify
equipment or
process issues
AWS IoT SiteWise

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runs AWS IoT Greengrass with
Greengrass ML Inference
Connected to AWS IoT and
Siemens Mindsphere
ML model built with
AWS IoT Analytics datastore

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Data transport and routing

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To securely connect
devices to the AWS cloud
& other devices at scale
To fully integrate with
other AWS services to reason
on top of the data
(Analytics, Databases, AI, etc.)
To route, process, and
act upon data from
connected devices
AWS IoT Core is a managed service that lets connected devices easily
and securely interact with cloud applications and other devices.
To enable applications to
interact with devices even
when they are offline
AWS IoT Core

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Device
Gateway
Rules
Engine
Message
Broker
Device
Shadow
Registry
Identity
Service
AWS IoT Core
Manage
authorization of
devices & provision
unique identities at
scale
Fully manage
connectivity optimized
for IoT workloads
Define and catalog
device for easy use by
AWS services
Understand and
control the status of
your device at any
time
Reliable and fast
communication across
your IoT fleet
Ingest large amounts of
IoT data at a low cost,
pre-process it, & make it
available to 10+ services
for analytics, reporting,
& visualization

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Data cleansing,
aggregation, and
enrichment

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AWS IoT Analytics is a fully managed service that collects, pre-processes,
enriches, stores, analyzes and visualizes IoT device data at scale.
AWS IoT Analytics
From raw
sensor data to
sophisticated
IoT analytics

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Collect AnalyzeProcess Store Visualize
AWS IoT Analytics
AWS IoT Analytics is a service that processes, enriches, stores, analyzes,
and visualizes IoT data for manufacturers and enterprises.
Collect only the
data you want to
store & analyze
Convert raw data
to meaningful
information
Store device data in
time-series data
store for analysis
Get deeper insight
into the health &
performance
of assets
Quickly visualize
your IoT data sets

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AWS offers full capabilities for a
PI Connector Data Pipeline
Ingest Store Analyze Consume
Kinesis
streaming data
Database Migration
Service
import from Oracle,
Netezza, and others
Direct Connect
link to data center
Snowball
mail-in bulk data
Amazon S3
secure, cost-
effective storage
Redshift
data warehouse
QuickSight
visualization
Athena
Ad-hoc analysis
EMR
unstructured data
Machine Learning
ML as-a-service
Internal apps
Customer-facing apps
and many more… and many more…

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Amazon Mechanical Turk
The first and foremost challenge
in build AI systems
is to build ground truth data
Need human intelligence
to annotate speech, vision or
language data sets

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Machine learning and model
generation

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Amazon SageMaker
Build Train & Tune Deploy
Pre-built
notebooks for
common
problems
Built-in, high
performance
algorithms
One-click
training
Hyperparameter
optimization
One-click
deployment
Fully managed
hosting with
auto-scaling

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Amazon SageMaker model lifecycle
Scale and
manage the
production
environment
Train and tune
model
(iterate, iterate)
Setup and
manage
environments
for training
Choose and
optimize your
ML algorithm
Collect and
prepare training
data
Deploy model in
production

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Condition Monitoring Architecture
Control
Systems
Factory floor AWS Cloud
Protocol
conversion
Route

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Predictive maintenance architecture
Control
Systems
Factory floor AWS Cloud
Protocol
conversion
Route
Inference

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Predictive quality architecture
Control
Systems
Factory floor AWS Cloud
Protocol
conversion
Route
Inference

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The promise of IIoT for
manufacturing

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Start your transformation to digital today
Data transport and routing
Data aggregation, enrichment,
cleansing, time series, and model config
Machine learning and model generation
Data collection and model inference
Intelligence
and outcomes
Amazon
FreeRTOS
AWS IoT
Greengrass
AWS IoT
Core
AWS IoT
Analytics
Amazon
SageMaker

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Call to action
Start harvesting your data as soon as possible
Use AWS to relieve upfront costs…
… and leverage the AWS pace of innovation
Brownfield situations are actionable
Use higher-level services such as AWS IoT Analytics where you can
Talk to us to start your digital transformation today!

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Thank you!