The document discusses the Industrial Internet and its potential impacts. Key points include: - The Industrial Internet refers to connecting industrial machines to collect and analyze large amounts of data that can be used for predictive analytics and optimization. - This connectivity and data collection from billions of machines is expected to generate huge efficiencies across industries and eliminate up to $150 billion in waste annually through improvements like 1% reductions in fuel usage or capital expenditures. - GE is developing software and solutions like Predix to help companies connect their assets, collect and analyze machine data, monitor operations remotely, optimize performance, and develop new data-driven services.

1. Industrial Internet
GE and the Internet of Things

2. 2
OT is virtualized
Analytics become predictive
Machines are self healing & automated
Monitoring and maintenance is
mobilized
Employees increase productivity
Entertainment is
Digitized
Social Marketing
Emerged
Communications
Mobilized
IT Architecture
Virtualized
Retail & Ad Transformed
2. Rise of the Machines
WHAT HAPPENED WHEN
1B PEOPLE
BECAME CONNECTED?
WHAT HAPPENS
WHEN
50B Machines
BECOME
CONNECTED?
CONSUMER INTERNET INDUSTRIAL INTERNET
© General Electric Company, 2013. All Rights Reserved

3. 3
Forces shaping
the Industrial Internet
Internet
of things1 Intelligent
machines2 Big Data
3 Analytics
4A living network
of machines, data,
and people
Increasing system
intelligence through
embedded software
Generating
data-driven insights
and enhancing asset
performance
Transforming
massive volumes
of information
into intelligence

4. 4
Industrial Internet: business value
New customer services
Data and the insights
it provides will enable
new customer services
and business models
Efficiency and cost
savings
The ability to model
and understand the
physical world makes
it easier to optimize
assets and processes
Risk avoidance
Increased visibility
and control help
address
environmental, health,
and human safety
issues

5. 5
The value to customers is huge
Connected machines and data could eliminate up to
$150 billion in waste across industries
Aviation
Power
Healthcare
Rail
Oil and Gas
Industry Segment Type of savings
Estimated value
over 15 years
(Billion nominal US dollars)
$66B
$30B
$63B
$27B
$90B
Commercial
Gas-fired
generation
System-wide
Freight
1% fuel savings
Exploration and
development
1% fuel savings
1% reduction in
system inefficiency
1% reduction in
system inefficiency
1% reduction in
capital expenditures
Note: Illustrative examples based on potential one percent savings applied across specific global industry sectors. Source: GE estimates

6. 6
Defining Brilliance in Energy
© General Electric Company, 2013. All Rights Reserved
Farm to Grid
When the grid needs more voltage, wind
farms take action. Every second,
150,000 data points on a farm are
analyzed to integrate 400MW onto the
grid.
Wind Farm to Wind Farm
Farm to farm communication allows
automated control of a wind farms’
voltages to the grid, providing stability to
a broader regional area through
optimizing multiple farms.
Turbine to Battery
Battery storage makes predictable
power a reality, driving wind farm
output, improving service productivity
and creating new revenue streams for
customers.
Turbine to Turbine
If a turbine loses wind speed or
wind direction, it simply asks its
neighbor what it’s doing and
replicates the action, improving
availability and power output.
Turbine to Remote
Monitoring
GE turbines are monitored and
analyzed 24x7 using 150+
unique software rules to
detect, prioritize, and identify
the best fix for wind turbine
operation issues. It’s like
having a team of experts
around the world solving
issues real time.

7. 7
Taleris
Objectives
• Help airlines maximize aircraft utilization
• Minimize the impact of maintenance
• Go from diagnostics to root cause analysis
Results
• Advanced prognostic algorithm allows
airlines to detect issues before they cause
downtime/expense
• Monitors 10,000 independent parameters,
transmits wirelessly
• Integrates with airline’s enterprise systems
• Platform-agnostic solution can be installed
on any make/model, providing continuity
among entire fleet
Example Use Case
Asset
Management
+ Analytics +
Experience
GE Confidential

8. 8
Rail optimization
The GE RailConnect
Transportation Management
System and Movement
Planner System help
railroads analyze critical
information in real time.
Customer estimate: every
1-mph increase in rail
network speed saves
$200M in annual capital
and operating expenses
Example Use Case
Asset
Management
+ Analytics +
Experience
GE Confidential

9. 9
Cloud
for efficiency
and agility
Going mobile:
anytime/
anywhere
Access
End-to-end
Security
Predictive
insights from
Big Data
Transition to
“Brilliant machines”
Cloud based Integrated
Asset
Management
Industrial
Internet platform
requirements021010308
013161090
040109010
104078050 Consistent and
meaningful
User
experience

10. 10
Machine Centric Industrial Big Data Modern Architecture Resilient &
Secure
Connect, make machines
intelligent, and optimize
them from anywhere in the
network
Optimized for real-time,
large-scale analytic and
asset management
Rapidly deliver consumer grade
Industrial Internet apps with a
cloud-agnostic platform
Protect industrial data and
control access to
machines, networks and
systems
Connects machines, data and people
The software platform for optimizing industrial assets and operations
Predix
The software platform for the Industrial Internet

11. 11
Predix Platform Product suite
On Premise
Cloud
or
Machine Server
Turbine
Grid/utility
Wind farm
HealthcareAviation Transportation
Predix .Marketplace
GE
Solutions
Energy
Network
People at work
Experience
Reader
Connect
Card
Micro
Machine Net
Server
Insight
Core
Asset

12. 12
GE Software’s evolving ecosystem
We collaborate to extend
the reach of our Industrial Internet solutions
• Work with the best
• Share risk and reward
• Develop distinctive technologies
• Pursue new markets
SOFTWARE
ALLIANCES
TECHNOLOGY
ARCHITECTURE
Software as
a Service
(SaaS)
Platform
as a Service
(PaaS)
Infrastructure
as a service
(laaS)
Guiding
Principles
CONSUME
HOST
BUILD

13. 13
Cloud Agnostic
Cloud Everything
in-between
Micro
Analytic requirements of industrial companies
FREQUENCY
OF ANALYTIC
Minutes+
Seconds
Milliseconds
1,000,000’s
+
Enterprise data
+
Exogenous data
1,000’s
100’s
LOCATION
OF
ANALYTIC
Wind
Mining
Aviation
Rail
Machine
Turbine
Grinding circuit
Engine
Engina
Plant
Wind farm
Mine site
Aircraft
Locomotive
Enterprise
Distribution
center
Mining company
Airline
Railroad
INDUSTRIAL DATA
Asset & process
Interaction
Orchestration
Analytics
Data collection and aggregation
Control systems
Machine Cloud
Decision support
Modular and extensible
ENTERPRISE
DATA
Supply chain, finance, etc.
EXOGENOUS
DATA
Market, weather, etc.

14. 14
Industrial Internet solutions
Asset optimization1 Operations optimization2• Parts inventory management
• Asset Management
• Supply-chain automation
• Work scope automation
• Field-force optimization
• Monitoring & diagnostics
• Condition Based Maintenance
• Outage management
• Asset lifecycle management
• Logistics management
• Controls & plant automation
• Fuel consumption optimization
• Emission management
• Regulatory compliance
• Health & safety assurance
• Operations Management & DSS
• Network throughput optimization
• End-customer information services

15. 15 GE Confidential
“Single”
Asset
Core
Assets
Facility Enterpris
e
Monitor
Analyze
Predict
Optimize
Industrial Internet Maturity Model
What’s your IIQ (Industrial Internet Quotient)?
1
3
4
5
2

16. 16
Connect
with us
GESoftware.com
@GESoftware
linkedin.com/
company/ge-software
youtube.com/ge
software

17. Thank you
Peter
van der Fluit