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Nokia Growth Partners
Big Data & Analytics | Autotech Council 13.12.2013

SAN FRANCISCO

GENEVA

HELSINKI

NEW DELHI

BEIJING
Agenda
Smart Data
The Connected Car and Smart Data
Smart Data – a Venture Perspective
Leading Global Mobile Investor

Internet of Things
Wearables
Connected Car
Tablets
Smartphones

$600M Managed Since 2005
Global Mobile Investor
EUROPE
UNITED STATES

CHINA

INDIA
20+ Data Related Investments
ADVERTISING

ANALYTHICS

CLOUD

LOCATION
Smart Data Samples
Artificial intelligence meets big data & digital marketing. Forbes 4th most
promising company in America.

Crowdsourced local workforce. Matches 350,000+ people with local tasks
completed across U.S. within hours.
80,000,000+ active users: online local search/classifieds in China.
Online analytics, marketing, security & fraud detection in China.
In-store analytics. 75 petabytes collected/year from 30,000+ sensors.
Fastest mobile browser serving 400,000,000+ active users in 90+ countries.
HERE, Connected Car & Smart Data
Nokia HERE
Powers 4 out 5 cars with in-dash local content
 Maps for Yahoo, Bing, Amazon, Facebook
 ~6000 professionals focused on Map Services
HERE Auto
 141Million routing
requests/month
 ~20Billion
anonymized probe
points/month
HERE Auto
 2.7m map changes
each day
 100 TB of
structured data
and petabytes of
unstructured data
on Hadoop
Distributed File
System
HERE Transit
Public transit guidance in 52 countries and 792 cities
HERE CityLens

Map built on 180
layers of content

Serves local, real-time POI data in augmented reality experience
Autonomous Driving
Mercedes S500 autonomous
drive in 2014

 100km route from
Mannheim to Pforzheim
 Tracing first car route driven
in Europe

Powered by HERE

 Precision 3D digital mapping
 Scanned radius of 200m 25x/second
 1 camera alone contributed 300
GB/hour
Sample HERE Data Projects
1.
2.
3.
4.

Predictive traffic analysis engine
Fully integrating all in-car & nearby sensors
Crowd-sourced map editing
ADAS adjusted for weather & personal driving preferences
Big Data – Venture Investor
Observations
Data Avalanche
90% of data is created in the last 2 years

Every minute:

48 hours of new video uploaded on Youtube
217 new mobile web users
684,478 pieces of content shared on Facebook
$272,070 spent on web shopping
3,125 new photos on Flickr
3,600 new photos on Instagram
47,000 app downloads from Apple
100,000 tweets sent
2,083 check-in’s on FourSquare
34,722 “likes” for brands and organizations on
Facebook

Source: Domo
Sensors – Explosion of New Data
Retail

Logistics

Wearables

35k US supermarkets;
50k products each. RFID
in each?

A USXpress truck tracks
900 data points from
10k sensors

485m wearable devices
in US by ’18

Home/ Office

Earth Monitors

490m smart meters & 13m
homes with energy mgmt
by 2015:12M automated
systems 2016 (IDC, ABI, GSMA)

1 trillion sensors to
monitor oil & gas,
wildlife, climate (HP)

Healthcare
Rise of the Disposable
Med Device Sensor

(ABI)

“7 Trillion Wireless Sensors by 2017”
Wireless World Research, Bosch
Source: Mobihealthnews, Wall Street Journal, IDC, ABI, GSMA, HP, KPHO, MEPTEC
Auto Data Growing by Factor of 100x

Google self-driving
cars: 3600 gb/hr
“Ford experimenting with cars that
generate 10x that, or 250gb/hr”
Ford Fusion Energi car: 25gb/hr
Global Mobile Data To Grow 16x in next
5 years
160
140

(Million TB)

120

70%+
CAGR

100

80
60
40
20
0
2011

Source: Cisco, IDC

2012

2013

2014

2015

2016

2017
Smart Data Challenges: Signal v Noise

“Every day, 3 times per second, we produce
the equivalent amount of data that the Library
of Congress has in its entire print collection.
Most of it is irrelevant noise.”
Nate Silver, statistician
Data Avalanche
Opportunities & challenges



Descriptive v. Predictive Analytics



Streaming Analytics: real-time analysis



Distributive Analytics: sensor v. server data
processing


Source: Domo

Explosion of Unstructured Data

Data Visualization: discerning signal from noise
Big Data Landscape – Many New Segments

Adapted from Dave
Feinleib (Forbes)
Emerging Data

Internet-based Data

Traditional Data

Many New Smart Data Companies Created
$9B
$7B
$4B

$2B
$1.5B
Smart Data: Where do we go from HERE?
Expectations

Gartner Hype Cycle
Trough of
Disillusionment

Technology
Trigger

Inflated
Expectations

Slope of
Enlightenment

Time
Slope of
Discernment

Data Overload
Noise > Signal

Signal to Noise Ratio
Intelligence
BO ILSOE
Partner

UPAL BASU
Partner

PAUL ASEL
Partner

WALTER MASALIN
Principal

DAVID TANG
Partner

JOHN GARDNER ANNIE LIN
KEVIN LAU
Partner Senior Associate Associate

LU GUO
Principal

YAO GE
Associate

VIVEK GOYAL ANUPAM RASTOGI
Principal
Analyst
Contact

SAN FRANCISCO

GENEVA

HELSINKI

NEW DELHI

BEIJING

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Autotech council big data nokia growth partners 13.12.2013

  • 1. Nokia Growth Partners Big Data & Analytics | Autotech Council 13.12.2013 SAN FRANCISCO GENEVA HELSINKI NEW DELHI BEIJING
  • 2. Agenda Smart Data The Connected Car and Smart Data Smart Data – a Venture Perspective
  • 3. Leading Global Mobile Investor Internet of Things Wearables Connected Car Tablets Smartphones $600M Managed Since 2005
  • 5. 20+ Data Related Investments ADVERTISING ANALYTHICS CLOUD LOCATION
  • 6. Smart Data Samples Artificial intelligence meets big data & digital marketing. Forbes 4th most promising company in America. Crowdsourced local workforce. Matches 350,000+ people with local tasks completed across U.S. within hours. 80,000,000+ active users: online local search/classifieds in China. Online analytics, marketing, security & fraud detection in China. In-store analytics. 75 petabytes collected/year from 30,000+ sensors. Fastest mobile browser serving 400,000,000+ active users in 90+ countries.
  • 7. HERE, Connected Car & Smart Data
  • 8. Nokia HERE Powers 4 out 5 cars with in-dash local content  Maps for Yahoo, Bing, Amazon, Facebook  ~6000 professionals focused on Map Services
  • 9. HERE Auto  141Million routing requests/month  ~20Billion anonymized probe points/month
  • 10. HERE Auto  2.7m map changes each day  100 TB of structured data and petabytes of unstructured data on Hadoop Distributed File System
  • 11. HERE Transit Public transit guidance in 52 countries and 792 cities
  • 12. HERE CityLens Map built on 180 layers of content Serves local, real-time POI data in augmented reality experience
  • 13. Autonomous Driving Mercedes S500 autonomous drive in 2014  100km route from Mannheim to Pforzheim  Tracing first car route driven in Europe Powered by HERE  Precision 3D digital mapping  Scanned radius of 200m 25x/second  1 camera alone contributed 300 GB/hour
  • 14. Sample HERE Data Projects 1. 2. 3. 4. Predictive traffic analysis engine Fully integrating all in-car & nearby sensors Crowd-sourced map editing ADAS adjusted for weather & personal driving preferences
  • 15. Big Data – Venture Investor Observations
  • 16. Data Avalanche 90% of data is created in the last 2 years Every minute: 48 hours of new video uploaded on Youtube 217 new mobile web users 684,478 pieces of content shared on Facebook $272,070 spent on web shopping 3,125 new photos on Flickr 3,600 new photos on Instagram 47,000 app downloads from Apple 100,000 tweets sent 2,083 check-in’s on FourSquare 34,722 “likes” for brands and organizations on Facebook Source: Domo
  • 17. Sensors – Explosion of New Data Retail Logistics Wearables 35k US supermarkets; 50k products each. RFID in each? A USXpress truck tracks 900 data points from 10k sensors 485m wearable devices in US by ’18 Home/ Office Earth Monitors 490m smart meters & 13m homes with energy mgmt by 2015:12M automated systems 2016 (IDC, ABI, GSMA) 1 trillion sensors to monitor oil & gas, wildlife, climate (HP) Healthcare Rise of the Disposable Med Device Sensor (ABI) “7 Trillion Wireless Sensors by 2017” Wireless World Research, Bosch Source: Mobihealthnews, Wall Street Journal, IDC, ABI, GSMA, HP, KPHO, MEPTEC
  • 18. Auto Data Growing by Factor of 100x Google self-driving cars: 3600 gb/hr “Ford experimenting with cars that generate 10x that, or 250gb/hr” Ford Fusion Energi car: 25gb/hr
  • 19. Global Mobile Data To Grow 16x in next 5 years 160 140 (Million TB) 120 70%+ CAGR 100 80 60 40 20 0 2011 Source: Cisco, IDC 2012 2013 2014 2015 2016 2017
  • 20. Smart Data Challenges: Signal v Noise “Every day, 3 times per second, we produce the equivalent amount of data that the Library of Congress has in its entire print collection. Most of it is irrelevant noise.” Nate Silver, statistician
  • 21. Data Avalanche Opportunities & challenges   Descriptive v. Predictive Analytics  Streaming Analytics: real-time analysis  Distributive Analytics: sensor v. server data processing  Source: Domo Explosion of Unstructured Data Data Visualization: discerning signal from noise
  • 22. Big Data Landscape – Many New Segments Adapted from Dave Feinleib (Forbes)
  • 23. Emerging Data Internet-based Data Traditional Data Many New Smart Data Companies Created $9B $7B $4B $2B $1.5B
  • 24. Smart Data: Where do we go from HERE? Expectations Gartner Hype Cycle Trough of Disillusionment Technology Trigger Inflated Expectations Slope of Enlightenment Time Slope of Discernment Data Overload Noise > Signal Signal to Noise Ratio Intelligence
  • 25. BO ILSOE Partner UPAL BASU Partner PAUL ASEL Partner WALTER MASALIN Principal DAVID TANG Partner JOHN GARDNER ANNIE LIN KEVIN LAU Partner Senior Associate Associate LU GUO Principal YAO GE Associate VIVEK GOYAL ANUPAM RASTOGI Principal Analyst