Advances in artificial intelligence, machine learning, and deep learning, along with the rapid deployment of Internet of Things (IoT) devices, are changing how physical products are designed and built. In this session, learn how AWS partners Siemens and Autodesk use AWS to enhance the design process and how they're incorporating AWS services into their products and smart factories. We explore how these trends impact the future of design and manufacturing.

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AWS re:INVENT
GPS: Industry 4.0: AI and the Future
of Manufacturing
T o m “ E l v i s ” J o n e s – A W S S A
D a v i d M i t c h e l l – S i e m e n s
G P S T E C 3 2 6
November 28, 2017

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Tom “Elvis” Jones David Mitchell
AWS Solutions Architect
Industrial Software
VP, Manufacturing Operations Management R&D
Siemens PLM Software
Design
Engineering
Simulation
Manufacturing OperationsPLM
Supply Chain

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AI
Analysis
Decision making
Automation

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How to build a better mousetrap
https://flic.kr/p/Rfec6M

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Idea Construction Production
How to better build a mousetrap
https://flic.kr/p/Rfec6M

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CAD
CAE
CIVIL
cPDM
Production Planning
CAM
Manufacturing
Enterprise Asset Management
Logistics
Steps to production

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Take the linear steps to production…

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…combine them with data...

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…become a cycle

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Data
AI
Humans

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Where are we today?
Challenges, Trends, and Innovations

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Challenges
• Data
• On-premises requirements
• Mass customization and configuration
• Fluctuating demand
• Increased complexity
• Competitive and economic pressure
• Faster product innovation
• Automation

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Data
Data in silos
• File formats
• Physical locations
• Value
• Gravity
• Collaboration
• SaaS
Why is data important?
Data volume
• Increasing volume of data

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Data lake
Amazon S3
AWS Lambda Amazon ES
AWS Direct
Connect
AWS Database
Migration
Internet
Interfaces
Amazon S3
AmazonKinesis
S3 DATA LAKE
METADATA CATALOG & SEARCHBATCH DATA
INGEST
STREAMING
DATA INGEST
Amazon
Redshift
DATA
WAREHOUSE
Amazon
Athena
AD-HOC QUERY
Amazon
EMR
ADVANCED
ANALYTICS / ML
TRANSFORMED
DATA
Amazon
EMR
ETL
Amazon API
Gateway
AWS Lambda
Amazon
QuickSight
VISUALIZATION

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SQL Interface in web
browser
Athena for SQL
S3 Data Lake
Glue for ETL
Spark & Hive Interface
in web browser
Data lake evolution

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On-premises requirement
• Uptime
• Intermittent connectivity
• Pre-internet machinery

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AWS Greengrass

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On-premises requirement
AWS Snowball Edge
Petabyte-scale hybrid device with onboard
compute and storage
• 100 TB local storage
• Local Compute equivalent to Amazon EC2 m4.4xlarge instance
• 10 GBase-T, 25 GB – SFP+, 40 GB – QSFP+ copper, and optical networking
• Ruggedized and rack-mountable
• Clusterable

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Mass customization
• Fluctuating demand
• Complexity driven by
configuration options
• Simulation sizes becoming
larger

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Managing fluctuating demand
Autoscaling
Serverless
Microservices
Loose coupling (RESTful)
Managed services
50 Million Deployments a Year

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Siemens Active Workspaces architecture
Route Table
Route Table
Availability Zone
Internet
Gateway
Router
CloudWatch
Alarm
Elastic IP
VIS Pool Auto Scale
Assigner
Subnet: 10.0.0.0/24 Subnet:
10.0.1.0/24
Virtual Private Cloud 10.0.0.0/16
AWS
10.0.1.91RDP NAT
Reverse
Proxy

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Increasing complexity
Amazon
WorkSpaces
Amazon
AppStream 2.0*
Increasing communication

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Competitive & economic pressure
• Efficiency
• Capex vs Opex
• Velocity and agility
• Business models

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Automation & analytics
AWS Services for Automation
• Greengrass
• Snowball Edge
• AI Services
Courtesy of Rethink Robotics, Inc.

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How does AI help manufacturing?
Today and looking forward

26. AI Services
AI Platform
Frameworks
Amazon
Rekognition
Amazon
Polly
Amazon
Lex
More to come
in 2017
Apache
MXNet
TensorFlow Caffe Theano KerasTorch CNTK
Amazon
Machine Learning
EMR & Spark AWS Batch
InfrastructureEC2 GPU EC2 CPU EC2 F1 IoT Mobile
AWS Deep Learning
AMI
Amazon AI

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Design Production
• Automation
• Optimization
• Safety
• Topology
• Lightweighting
• Parameter tuning
• Materials optimization

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Data and analytics Design
• Digital Twin
• Descriptive design
• Operations tuning
• Logistics
• Quality control
• Predictive maintenance

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Model driven virtual voice assistant –
Fusion360 skill for Alexa
AWS
Lambda
Alexa
voice
service
Amazon
DynamoDB
Amazon
API
Gateway*
Amazon
S3
Mikhail Dikov
Principal Software Engineer & Maker
dikovm@autodesk.com

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AI increasing the design space

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Siemens journey to the cloud

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Technological Forces Transforming the
Digital Enterprise
Changing
the way
products
come to life
GENERATIVE
DESIGN
SYSTEMS-DRIVEN
DEVELOPMENT
MODEL-BASED
ENGINEERING
Changing
the way
products
are realized
MACHINE
LEARNING
ADDITIVE
MANUFACTURING
ADVANCED
ROBOTICS
Changing
the way
products
evolve
CLOUD
TECHNOLOGY
KNOWLEDGE
AUTOMATION
BIG DATA
ANALYTICS

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Advanced Manufacturing
As comp le x ity incre ase s, so doe s the amou nt of data
Explosion of
Big Data
Creates
New
Opportunities

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DF PL Cloud Journey
Cloud Services
Established –
Omneo Acquired
2015
Certifcation
complete and first
enablement kicked
off, followed by
global training
2012
Begin Cloud
Journey
2012
NextGENBP
Initiated
SE Online Store
2013
Executive
Awareness and
M70 initiated
2014
Cross BU Established
First SaaS
application’s
launched
Intosite and NX CAE
(Rescale)
2013
Cloudstart Project &
Omneo on AWS
2015
Executive
Commitment &
Siemens PLM
Business Ready
Cloud Solutions
Launch
2016
Siemens PLM
Appstream 2.0
Launch
2016
GrowthSales support/ product development / education / Siemens Feedback for engineering / best practices
QBRRegion Input Nice
Acquisition
TrainingCertification Partnering Joint sales
Begin relationship
EngineeringAppstreamWorkspacesExec
Education
Education

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Siemens Digital Enterprise software suite
Totally Integrated
Automation
MindSphere
Product Lifecycle
Management
Manufacturing
Operations Management
Teamcenter

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Siemens software applications on the cloud
• Easily and cost
effectively deploy
Development,
Acceptance Testing,
Training, and other
environments
• Simplify new product
evaluations and pilot
projects
• Instantly scale
deployment up or
down as needed
• Instantly deploy
additional instances
and data caches
across the globe
• Secure management of
IT resources
• Improve profitability by
reducing costs
• Centrally manage a
global footprint
• Cloud formation scripts
• Proven cloud service
providers
• Certified deployment
partners
Faster Path to
Production
Instant
Scalability
Ease of IT Management Simplify Deployment

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Cloud first requires R&D transformation
• Deployment automation
• Multi-region deployments
• Automated Backup/Recovery
• Disaster recovery strategy
• Cloud Security layers (Boundary,
patching, security monitoring/alerts)
• Security Automation and Testing
• High availability (no single point of failure)
• Network architecture, active directory
joins, Siemens PL Naming standards, etc.
• Procedures for access and support
defined
• Product support organization ready to
provide cloud support
• Enablement materials for sales, services
developed
• Full SDLC - leveraging automated CI/CD
• Supports scalable database technologies
• Application is stateless (session
information stored externally)
• Standard API access points for all
services (CLI, Portal) with documentation
• Supports a single version deployment
(upgrades are incremental, rapid,
scalable)
• Overarching structure to ensure standards
and allow individual team agility
• Multi-tenant
• Scalability
• Zero footprint client
• Supports automation of tenant lifecycle
and other processes
• Meets Siemens cloud deployment,
patching and upgrade requirements
• Supports health check monitors
• Supports customization through UI-driven
configuration
• Required integrations HTTPS/SFTP
• No dependency on server access to local
devices (ex printers)
• Supports auto-scaling
• Security and infrastructure automation
(DevSecOps)
Application JourneyTraditional Cloud Native
Lift and Shift
(Use the cloud as infrastructure)
Cloud Native
(Use the cloud as a platform)

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Initial Big Data offering based on Open Source

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Initial AWS technology choices

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Siemens Product Intelligence on AWS

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Selected AWS Suite for MindSphere

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Siemens MindSphere on AWS
Core Services
Application & API Gateway
Data
Management
Service
Logging
Analytics
Service
Content Distribution 3rd
Party Apps
Data Storage
MindSphere Supported AWS Interfaces
IoT
Service
Notification
Connectivity
Services
IAM
CI/CD
Processes, Tools,
Ops Management
Interfaces
VPC peering
Amazon Route 53 Amazon ELB
Developer
Services
AWS ALB
Elastic
Beanstalk LambdaSQSSES KinesisStep Functions ECSSWF
VPC
IAM
CloudWatch
CloudTrail
MindSphere Gateway

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MindSphere Visual Analyzer overview
IoT Advanced
Core
Starter
Visual Analyzer
mobile clientclient
Amazon API
Gateway
Amazon
CloudWatch
API Gateway
Cache
AWS
Lambda
Amazon
DynamoDB
Amazon
Route 53
Amazon
CloudFront
MindSphere
Gateway
TimeSeries
API
EventMgmt
API
Amazon
S3
AWS WAF
AssetMgmt
API
Analytics
Analytics
API

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AWS Services for
Siemens Manufacturing Intelligence
Amazon
CloudFront
API
Gateway
Elastic Load
Balancing
Amazon
QuickSight
Amazon
EMR
AWS Elastic
Beanstalk
AWS
Lambda
Amazon
Kinesis
AWS Glue Amazon
S3
Amazon
RDS
Amazon
Redshift
Amazon
DynamoDB
AWS Step
Functions
Lambda
function
Microservices
Beanstalk
application
Cloud Native, Serverless , Microservices, Managed Service

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Siemens Manufacturing Intelligence
Cloud
On premise
AWS
Lambda
Manufacturing Operation Management
API
Gateway
Amazon
Cognito
AWS
Glue
Amazon
S3
Amazon
Kinesis
Amazon
RDS
AWS
Lambda
Lambda
Data
Transformatio
n
AWS
EMR
Amazon
RedShift
Amazon
DynamoDB
Quick
Sight
MI
Studio
Cloud
Front
UI SPA
SIMATIC IT MES
SIMATIC IT Preactor APSCamstar
QMS SIMATIC IT UniCam
MENTOR / Valor

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Medical Devices
Edwards Life Sciences
Marine
Newport News
Industrial Machinery
Downer Group
Energy and Utilities
EDF Energy
Electronics
And Semicondu
Bose
Consumer Products
Proctor & Gamble
Automotive
Transportation
McLaren Automotive
Aerospace / Defense
Bombardier
Flash forward to today, and 8 recent large
decisions were all on cloud
Managed
Services
Managed
Services
Managed
Services
IaaS on AWS
Managed
Services
SaaS
IaaS on AWS w/
Smartronix
FedRAMP
IaaS on AWS

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Closing

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Change is the only constant
Manufacturing is changing…
• Data growth
• Connectivity
• Automation
• Complexity
• Collaboration
• Faster production cycles

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Data
AI
Humans

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Product Design Production Design Production Data and Analytics
AWS services for manufacturing
Amazon
WorkSpaces
Amazon
AppStream 2.0*
Amazon
Kinesis
Amazon
Redshift*Amazon
EC2
Amazon ECS AWS Batch

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TITLE & CONTENT

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Thank you!