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 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 March 2015

Sensor Data Discovery EngineOcean Data Management

From a small buoy to Big Data

Data BuoysMarket: $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 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 March 2015

Have you ever thought: When did weather forecasting

become unreliable?

6 March 2015

Source: www.skepticalscience.com

7 March 2015

And when did it start to be awesome?

8 March 2015

Surfline Hyperlocal surf weather forecasting

9 March 2015

Forecast.io (Dark Sky) Hyperlocal weather forecasting

10 March 2015

Weather Underground Crowdsourced data collection

11 March 2015

Have you ever thought: What is the operational root cause of oil spills?

12 March 2015

13 March 2015

Sensor data will outgrow

social data in 2 yearsSensor data is

too big to moveData Management

will not scale as we know it

Oil & Gas is swimming in sensors, drowning in data

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 March 2015

Hewlett Packard: “By 2020, 40% of all data

ever collected by human kind will be generated by sensors.”

16 November 2014

Current Market

Connecting Devices Higher velocities Larger volumes Wider varieties

Future MarketAutomated Industries Real-time Decisions Data & Insight Markets

VERACITY

VELOCITY

Trends in industrial machine data

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 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 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 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 March 2015

R/V Jean Charcot

Interactive reporting

Case #2: Bravante Helping to deliver offshore data reports 80% faster

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 March 2015

Map of all devices on the Internet

August 2, 2014

24 March 2015

Robotic ocean-borne sensor platforms

increase productivity

LIQUID ROBOTICS WAVE GLIDER

25 March 2015

A decade of growth in marine acoustics sensor data

summer year-round

2004 2014

2K 400Kn < 10 n > 10002D 4D6 weeks 6 months

sample rate# of sensorsdimensionstime spanactivity

PGS SURVEY VESSEL, 12KM STREAMERS

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 March 2015

Unmanned vehicles are estimated to grow 10x in 10 years

Image Credit: Northrop Grumman

28 March 2015

Precision Agriculture is a $3.7 trillion market

Image Credit: http://iphonedroneimagery.com/

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

Index the real world