opportunities in sensor networks and big data in 2014 (for nikkei big data conference 2014, tokyo,...

Post on 14-Jun-2015

1.123 Views

Category:

Data & Analytics

0 Downloads

Preview:

Click to see full reader

DESCRIPTION

1. Market trends in some of the biggest industries using scientific sensor data 2. Technology trends 3. How Planet OS is solving these challenges 4. The Industrial Internet (GE), The Internet of Everything (Cisco) 5. Security and trust

TRANSCRIPT

Rainer Sternfeld, CEO, Series A Presentation August 2014

The Opportunities in Sensor Networks and Big Data in 2014

September 4, 2014rsternfeld@planetos.com

2014�§��³ÆàÂáÎÉÌßῤÐÉÀËáȨE-��

@rsternfeld

NIKKEI BIG DATA CONFERENCE 2014 Rainer Sternfeld, CEO

2 August 2014

ABB Baltic States 2006-2011 Business Development Manager, Baltics (1,300 people, $300M revenue) !

Business Development • 1st nation-wide EV fast-charging network • Regional + Local BU strategies • New product rollout and ramp-up • End-to-end production management

software !

Corporate Development • OneCampus production facilities • SAP implemented in 3 countries • 5S + COPQ implementation • New operations, processes and policies • Restructuring

Statue of Liberty of Estonia (2007-2009)

OneCampus (2009-2011)

eMobility Estonia (2011)

Flydog X-Buoy (2008-2011)

UGV + Manipulator for DoD (2005-2006)

About the author | Rainer Sternfeld

3 September 2014

Sensor data will outgrow social data in 3 years

ÆàÂáËáÈ©�3��7§© ÇáÃÙÝËáÈ°²­�¨ËáÈ

µ]��«�

September 20144

Trends in industrial machine data

Current Market

Connecting Devices Higher velocities Larger volumes Wider varieties

Future Market

Automated Industries Real-time Decisions Data & Insight Markets

VERACITY

VELOCITY

�;�ÖÃàËáȨ'k

@3

U3

September 20145

A decade of Big DataÐÉÀËáȨ10�

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 the household name

• Existing data warehousing struggles

• Data is manageable

• “One size fits all” horizontal solutions

• Companies invest heavily in Big Data

• Amazon S3 has changed everything

• 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

September 2014

Humans love their smart devices�"©ÅÖáÌËϹÅ����

7 September 2014

Map of all devices on the Internet¹àÈáÎȨ́9��³ ËϹŨ�~

August 2, 2014

2014�802�

8 September 2014

What about the real world? These sensor networks create major challenges for Big Data.

��¨)2©�.¥�£�¯��� �´±¨ÆàÂÎÉÌßá¿©�ÐÉÀËáÈ

§��³��¦Y5¤¦¡¢�«�

9 September 2014

ÞÕÉÌ1�ÆàÂᨠÓÛÉÌѼá×

§°³��+¨:�

Robotic ocean-borne sensor platforms

increase productivity

LIQUID ROBOTICS WAVE GLIDER

10 September 2014

A decade in marine acoustics sensor data��10�"¨1jKbÆàÂáËáÈ

summer year-round

2004 2014

2K 400Kn < 10 n > 1000

2D 4D6 weeks 6 months

sample rate# of sensorsdimensionstime spanactivity

PGS SURVEY VESSEL, 12KM STREAMERS

11 September 2014

S\�§��³, ¦dTr�©�ËáÈÃÅÊ×��§

©X�±´¦�

Safe oil exploration in the Arctic is unthinkable

without data systems

THE MOST NORTHERN OIL PLATFORM IN THE RUSSIAN ARCTIC, LUKOIL

12 September 2014

ÖáÅ¿©ÅÖáÌÝá̧°³D[�Ooµ­�±��¤µ{!

Not so fast! Using data, Maersk has proven smart route planning pays off

MAERSK LINE

13 September 2014

_D�¦�`ØËÝ��£© ­©®���«�¶ ËáÈ��^¨vZ�

i�¨F�+¨�³�4£�

Statistical weather models don’t work any more.

Data-driven forecasting is the only viable way.

Image Credit: NASA

14 September 2014

vZØËÝ©Þá½ÝÆàÂá§W���6q§BH

Prediction models are applied to local sensors and are domain-specific

15 September 2014

2011-2014�40«£§140�¨ÜØáÌÆàÃàÀc/�# ���´���´©E-vZ¨3p¨ÔáÅ

140 remote sensing satellites launched from 2011 - 2014 April,

3x of the market estimate

SPIRE, A SAN FRANCISCO STARTUP BUILDING NON-IMAGING LOW-ORBIT NANOSATELLITES

16 September 2014

��%}¨G©10�"£10p §�$�³¤'&�´¢�³

Unmanned vehicles are estimated to grow 10x in 10 years

Image Credit: Northrop Grumman

17 September 2014

�±´�³��� @fm;©3.7zÍݨE-£�³

Precision Agriculture is a $3.7 trillion market

Image Credit: http://iphonedroneimagery.com/

18 September 2014

Connected cars are the next frontier in consumer markets

ÁοÊÉͽ᩠QIJE-§��³ �¦N�y�l£�³

GOOGLE’S SELF-DRIVING CAR CONCEPT 2014

19 September 2014

Index the real world��)2µ¹àËÉ¿ÅH�³

20 September 2014

Analytical Sensor Data PlatformOcean Data Management

From a small buoy to Big Data

X-Buoy 450Market: $2 billion

Competitors: 100+ producers Scalability: poor to limited

��¦Ò¹�±ÐÉ¿ËáȪ

2008 2012 2014

Market: $5 billion Competitors: 25+

Scalability: good but slow

Market: $100+ billion Competitors: 15+

Scalability: very scalable & fast if P/M fit

21 September 2014

Analytical Sensor Data PlatformOcean Data ManagementX-Buoy 450Market: $2 billion

Competitors: 100+ producers Scalability: poor to limited

Market: $5 billion Competitors: 25+

Scalability: good but slow

Market: $100+ billion Competitors: 15+

Scalability: very scalable & fast if P/M fit

2008 2012 2014

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

From a small buoy to Big Data��¦Ò¹�±ÐÉ¿ËáȪ

22 September 2014

Planet OS indexes and transforms sensor data into real-time insightsPlanet OS©ÆàÂáËáȵ¹àËÉ¿ÅH��Ü·Ýȹ×Cuµ �§�³

23 September 2014

Data Studio: discover, visualize, monitor and build datasets

Advanced Data Discovery Heat maps overlays and quiver plots Access with third party applications

High Frequency radar data Graph Monitor Build custom datasets

Data Studio: rn�?�H�t?�ËáÈÆĘ́sw

24 September 2014

Data Manager: integrate, organize, and control dataflows

Rich browsing experience of existing data Integrate and configure new data channels

Roles, authorizations and logs ETL Dashboard

Data Manager: ËáÈÑÞáµ_8�.Lh��Ax

25 September 2014

Planet OS is building a new kind of Search Engine for sensor data

ACOUSTIC, VIDEO, SEISMIC SONARS (ADCP)

25

Planet OS©ÆàÂËáȨ�¬¨�¦�n»àÄàµsw

SPATIO-TEMPORAL INDEXING

TIME-SERIES

DATA TYPES

VECTORS

ARRAYS

RASTERS

INSTRUMENTS

SATELLITES

IN-SITU DEVICES

MODELS

HF RADARS

�>"¹àËÉ¿ÅHËáÈÈ¹Ó �a

26 September 2014

Soon, we will not move data. We will move queries to the data.

<�*��Ëáȵ¿»Üªk��³¨£©¦� ¿»ÜµËáȪk��³°�§¦²«�

27 September 2014

Sources http://www.wired.com/images_blogs/beyond_the_beyond/2012/11/ge-industrial.jpg

Image Credit: General Electric

28 September 2014

Sources http://www.environmentalleader.com/wp-content/uploads/2012/11/GE-industrial-internet.jpg

Image Credit:!General Electric

29 September 2014

Image Credit: CISCO

30 September 2014

What about security?ƾÚÜʸ©�

CONFIDENTIALITY

INTEGRITY

AVAILABILITY

STANDARDS

�f+

V8+

�+

eP

31 September 2014

There are always the bad guys=§|J©�«�

32 September 2014

Big Data clouds need trust managementÐÉÀËáȨ¿ÛºÍ©��R(�Mg

• Trusted digital certificates to authenticate the identity of devices

• Tools to protect software code integrity from being compromised

• Protecting a user's private information

• Protecting and managing digital content rights

33

top related