This talk focuses on how harnessing sensor data intelligently (proprietary, commercial and public) enables to build better applications, what are the operational challenges of oil spill responses, and what kind of sensor networks are being utilized in weather forecasting, environmental monitoring and beyond. Planet OS is a software platform for real-world sensor data integration, designed for ocean, land, air and space-based applications. Planet OS has developed a powerful suite that combines data mining, integration, search, visualization, analytics and secure data exchange between parties. It offers a single interface to work with all your proprietary (local and remote), commercial or open data.

1. Rainer Sternfeld, CE September 2014
Indexing the real world
March 13, 2015, London
RE.WORK Internet of Things Summit 2015
Rainer Sternfeld, CEO of Planet OS
@planet_os
@rsternfeld

2. 2 March 2015
ABB Baltic States 2006 - 2011
Business Development Manager, Baltics
(1,300 people, $300M revenue)
Business Development
• Fast-charging network for electric cars
(first nation-wide in the world)
• Regional + Local BU strategies
• New product rollout and ramp-up
• Production management software dev.
Corporate Development
• OneCampus production facilities
• SAP implemented in 3 countries
• 5S + COPQ implementation
• New operations, processes and policies
• Restructuring of operations
Statue of Liberty of Estonia (2007-2009)
ABB OneCampus (2009-2011)
eMobility Estonia (2011)
Data buoy for phytoplankton (2008-2011)
UGV+manipulator for DoD (2005-2006)
About the speaker
Rainer Sternfeld

3. 3 March 2015
Sensor Data Discovery EngineOcean Data Management
From a small buoy to Big Data
Data Buoys
Market: $2 billion
Competitors: 100+ producers
Scalability: poor to limited
2008 2012 2014
Market: $5 billion
Competitors: 25+
Scalability: good but slow
Market: $100+ billion
Competitors: 15+
Scalability: very scalable and fast

4. 4 March 2015
Sensor Data Discovery EngineOcean Data Management
From a small buoy to Big Data
Market: $2 billion
Competitors: 100+ producers
Scalability: poor to limited
2008 2012 2014
Market: $5 billion
Competitors: 25+
Scalability: good but slow
Market: $100+ billion
Competitors: 15+
Scalability: very scalable and fast
80% 80% time wasted
on arbitrary tasks
expansion of
economic activity
growth of sensor
data volumes
time wasted
on arbitrary tasks
spatio-temporal
data is complex
real-time becoming
the expected
sensor data
too big to move
NOW
data-driven
economies
sensor data
outgrowing social
vs
4D
Data Buoys

5. 5 March 2015
Have you ever thought:
When did weather forecasting
become unreliable?

6. 6 March 2015
Source: www.skepticalscience.com

7. 7 March 2015
And when did it start to be awesome?

8. 8 March 2015
Surfline
Hyperlocal surf weather forecasting

9. 9 March 2015
Forecast.io (Dark Sky)
Hyperlocal weather forecasting

10. 10 March 2015
Weather Underground
Crowdsourced data collection

11. 11 March 2015
Have you ever thought:
What is the operational
root cause of oil spills?

12. 12 March 2015

13. 13 March 2015
Sensor data
will outgrow
social data in 2 years
Sensor data is
too big to move
Data Management
will not scale
as we know it
Oil & Gas is swimming in sensors, drowning in data

14. 14 March 2015
• Contextual data streams across sources
• SCADA
• Weather and environmental data
• Drones and other robotic measurement platforms
• Satellite imagery
• 3D Common Operating Picture
• Full software integration for centralized access to data
• Event notifications
USE CASES
More data needs powerful tools.
Increase the data fluency of your operations.

15. 15 March 2015
Hewlett Packard:
“By 2020, 40% of all data
ever collected by human kind
will be generated by sensors.”

16. 16 November 2014
Current Market
Connecting Devices
Higher velocities
Larger volumes
Wider varieties
Future Market
Automated Industries
Real-time Decisions
Data & Insight Markets
VERACITY
VELOCITY
Trends in industrial machine data

17. 17 November 2014
2004 2014
• Nobody talks about Big Data (really)
• No easy and cheap way to scale business
• New growth driven by social media
• Smartphones “don’t exist” in the public eye
• MapReduce was becoming a household name
(although Google had already abandoned it)
• Data is manageable
• “One size fits all” horizontal solutions
• Companies invest heavily in Big Data
• Amazon S3 has changed how new software is built
• Growth driven by connected devices
• Hadoop is the de facto data processing engine
• HDFS is the de facto storage layer
• The semantic web dream is crushed
• Companies don’t know what data they have
• Domain-specific integrated engines
Source: Bryan Cantrill, Joyent CTO, http://www.slideshare.net/bcantrill/velocity2014
A decade of Big Data

18. 18 March 2015
Case #1: NOAA
Real-time weather and climate data + forecasts
They are working hard on a challenge presented by:
• Tens of thousands of devices deployed in the ocean, on land, and space
• Tens of terabytes coming in every day
• 700 scattered “web services” (FTPs, flat files, Threads servers, no APIs)
• Breaking connections (all.the.time.)
• 25,000 employees
• Critical data for the government, the industry, and citizens
What if all this data would be easily discoverable and machine-readable?

19. 19 March 2015
Example to case #1: Marinexplore.org
40,000+ data streams from 33 organizations of open data
Advanced Data Discovery Raster data / heat map overlays Access with third party applications
Raster data / quiver plots Graph Monitor Build custom datasets

20. 20 March 2015
Example to Case #2: Bravante
Helping to deliver offshore data reports 80% faster
Problems and challenges:
• How to disseminate information to 5 end-customers onshore in parallel?
• How to engage specialists and mangers with the same tool?
• How not to change anything in the equipment on the vessel?
• How to improve speed and quality of the environmental baseline
surveys?
What if all this data would be available in the cloud?

21. 21 March 2015
R/V Jean Charcot
Interactive reporting
Case #2: Bravante
Helping to deliver offshore data reports 80% faster

22. 22 March 2015
Consolidate dataflows, organize and make sense of your data
Access your data with 3rd party tools and systems
One interface to search and discover your local and remote data
Securely exchange, acquire or sell datasets
Build advanced domain specific solutions without hassle
Industrial IoT Platform for Real-World Sensor Networks
designed for ocean, land, air and space data

23. 23 March 2015
Map of all devices on the Internet
August 2, 2014

24. 24 March 2015
Robotic ocean-borne
sensor platforms
increase productivity
LIQUID ROBOTICS WAVE GLIDER

25. 25 March 2015
A decade of growth in
marine acoustics sensor data
summer year-round
2004 2014
2K 400K
n < 10 n > 1000
2D 4D
6 weeks 6 months
sample rate
# of sensors
dimensions
time span
activity
PGS SURVEY VESSEL, 12KM STREAMERS

26. 26 March 2015
Satellites are getting
smaller and cheaper.
150 launched since 2011
(3x of the market estimate)
SPIRE, A SAN FRANCISCO STARTUP BUILDING NON-IMAGING LOW-ORBIT NANOSATELLITES USING RF SENSORS

27. 27 March 2015
Unmanned vehicles
are estimated to grow
10x in 10 years
Image Credit: Northrop Grumman

28. 28 March 2015
Precision Agriculture is
a $3.7 trillion market
Image Credit: http://iphonedroneimagery.com/

29. 29 March 2015
Traditional Data Value Chain is Missing Data Exchange
SATELLITES
DRONES
CARS
BUOYS
OIL PLATFORMS
SHIPS
TRACTORS
LIGHTING
PHYSICAL
CHEMICAL
BIOLOGICAL
OPTICAL
NON-OPTICAL (RF)
TIME-SERIES
RASTER
ARRAYS
VECTORS
SEISMIC
VIDEO
ACOUSTIC
QA/QA
OUTLIER DETECTION
MODELING
DATA FUSION
DATA LOGISTICS
VISUALIZATION
ENHANCEMENT
DERIVATIVES
HARDWARE SENSORS RAW DATA
SOFTWARE
ANALYTICS
CUSTOMER
APPLICATIONS
ENERGY
WEATHER
AGRICULTURE
TRANSPORTATION
INSURANCE
TELECOMMS
LIGHTING
HEALTHCARE
DATA EXCHANGE LIVES HERE

30. 30
Index the real world