1. Internet of Things use cases
David Bericat
Senior Solution Architect, Internet of Things Specialist
October , 2015

2. THE INTERNET OF THINGS
IS NOT NEW
Does this sound familiar?
• Use devices to collect and communicate data
• Use data to make better decisions
• Analyze decision to gain deeper insight
• Capitalize on insights to:
• Save costs
• Automate processes to streamline operations
• Realize additional revenue

3. SEISMIC DISCOVERY IN
OIL AND GAS INDUSTRY
• Underground and
underwater discovery via
seismic data acquisition
• First oil discovery using
reflection seismography:
December 4, 1928 in
Seminole, Oklahoma

4. WHAT HAS CHANGED?
Empowering the edge with
near-field processing
• “Smart” seismic sensors with
ruggedized enterprise class reliability
• Functionally capable middle
(or controller) tier
• Summary data securely communicated
to back-end datacenter
Reduced transmission
costs and decreased
decision time horizons

5. THE INTERNET OF THINGS
LANDSCAPE
Connectivity and “smarter” devices driving change
Explosive growth in
connected devices
Ubiquitous internet
connectivity
Affordable
bandwidth
Commoditized
standardized hardware
Advances in
cloud computing
Standards based and
open source software
- Microcontrollers
- Electronic sensors
- Decreased cost of storing
and processing data

6. THE INTERNET OF THINGS
LANDSCAPE
Consumer devices accelerating interest
This economic change is driving interest, but enterprises still have concerns.
“Google to Buy Nest Labs for $3.2 Billion”
“Google's Nest to Buy Security Startup
Dropcam for $555 Million”
WSJ ONLINE, JANUARY 13, 2014
BLOOMBERG NEWS, JUNE 21, 2014
“How Apple can make big business
with NFC on the iPhone 6”
ZDNET, SEPTEMBER 8, 2014
“Internet of Things Companies Haul In More
than $1 Billion in Venture Capital in 2013”
CB INSIGHTS, MARCH 18, 2014
“This is a wave of innovation that
will boost productivity by much
more than the Internet revolution.”
MARCO ANNUNZIATA, CHIEF ECONOMIST, GE

7. THE INTERNET OF THINGS
LANDSCAPE
GE estimates: “Industrial Internet” could add $10 to $15
Trillion to Global GDP combining Networks and Machines

8. TOP 10 ENTERPRISE CONCERNS
Driving design considerations for intelligent systems and the IoT
Securing the connected ecosystem
Ability of disparate systems to
communicate reliably and take
uniform action, regardless of protocol
Managing patches and updates
Moving as much intelligence as
close to the edge as possible
Data integrity before, during,
and after transmission
Managing large amounts of data
Storing and analyzing unstructured data
Using commoditized hardware to
gain competitive advantage
Meeting regulatory requirements
Business impact

9. BUILDING THE
INTELLIGENT ENTERPRISE
Datacenter functionality
• Long-term data analytics
• Long-term control
• Rule creation
• Reporting
Controller functionality
• Communications
• Data Summary
• Real-time data analytics
• Real-time actions/rules/events
End point functionality
• Communications
• Data acquisition

10. USE CASES

11. UTILITY OPTIMIZATION AND AUTOMATION
RESULTS:
Dynamic demand management, predictive maintenance,
improved efficiencies, cost savings.
BUILDING THE INTELLIGENT ENTERPRISE

12. AIR TO GROUND INFORMATION EXCHANGE
RESULTS:
Compliance with industry standardization, bandwidth used more
efficiently and cost effectively, data flow and communication prioritized.
Prepared for next-gen air traffic control.
BUILDING THE INTELLIGENT ENTERPRISE

13. TRUCKING TOLL COLLECTION
SYSTEM
BUILDING THE INTELLIGENT ENTERPRISE
RESULTS:
• Recorded
• Invoiced to trucking companies
• Tolls collected and immediately deposited to treasury
Millions of secure transactions through
active data protection and data security

14. SMARTER TRAIN TECHNOLOGY
BUILDING THE INTELLIGENT ENTERPRISE
RESULTS:
New architecture changed business approach,
enabling the collection, transmission and
transformation of data to automate actions
and meet regulatory requirements.
Additional value to rail customers:
Increased safety, speed controls,
predictive maintenance, efficiency
improvements, reduced costs.

15. NORTH AMERICA CABLE COMPANY
RESULTS:
The stability of an enterprise platform without
the cost of proprietary alternatives.
Scalability of solution to 2 million+ devices.
BUILDING THE INTELLIGENT ENTERPRISE

16. CONVERGED RETAIL EXPERIENCE
RESULTS:
Improved customer retention vs. online competitors,
loss prevention, predictive inventory management.
BUILDING THE INTELLIGENT ENTERPRISE
ENTERPRISECONSUMER

17. NORTH AMERICA CABLE COMPANY
RESULTS:
The stability of an enterprise platform without
the cost of proprietary alternatives.
Scalability of solution to 2 million+ devices.
BUILDING THE INTELLIGENT ENTERPRISE

18. NORTH AMERICA OIL COMPANY
RESULTS:
Predictive analysis of breaking points that
could stop oil extraction. Reduce maintenance
costs and maximize activity. Operations
deliver a better service. Global costs
decreased.
BUILDING THE INTELLIGENT ENTERPRISE

19. EUROPEAN ELECTRIC COMPANY
RESULTS:
Collecting events are able to predict
consumption per hour and diagnose how
much energy they need, buying better and
reducing final prices.
35M Smart meters. 7M events per day.
BUILDING THE INTELLIGENT ENTERPRISE

20. EUROPEAN ELECTRIC COMPANY

21. EUROPEAN ELECTRIC COMPANY

22. EUROPEAN ELECTRIC COMPANY

23. EUROPEAN ELECTRIC COMPANY

24. INTELLIGENT SYSTEMS
HIGH LEVEL ARCHITECTURE

25. REALIZE THE POWER OF THE
INTERNET OF THINGS
Transform your business with intelligent systems
Empower
the edge
Address concerns
with the right
technology
Architect for
maximum
performance

26. THANK YOU