autotech council big data nokia growth partners 13.12.2013
TRANSCRIPT
Big Data & Analytics | Autotech Council 13.12.2013
SAN FRANCISCO GENEVA HELSINKI NEW DELHI BEIJING
Nokia Growth Partners
Agenda
Smart Data
The Connected Car and Smart Data
Smart Data – a Venture Perspective
Leading Global Mobile Investor
Smartphones
Tablets
Connected Car
Wearables
Internet of Things
$600M Managed Since 2005
Global Mobile Investor
EUROPE
UNITED STATES CHINA
INDIA
20+ Data Related Investments
ADVERTISING ANALYTHICS CLOUD LOCATION
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.
In-store analytics. 75 petabytes collected/year from 30,000+ sensors.
Online analytics, marketing, security & fraud detection in China.
80,000,000+ active users: online local search/classifieds in China.
Fastest mobile browser serving 400,000,000+ active users in 90+ countries.
Smart Data Samples
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
Serves local, real-time POI data in augmented reality experience
Map built on 180
layers of content
Mercedes S500 autonomous drive in 2014
100km route from Mannheim to Pforzheim
Tracing first car route driven in Europe
Autonomous Driving
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. Predictive traffic analysis engine 2. Fully integrating all in-car & nearby sensors 3. Crowd-sourced map editing 4. ADAS adjusted for weather & personal driving preferences
Big Data – Venture Investor Observations
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
Data Avalanche 90% of data is created in the last 2 years
Sensors – Explosion of New Data
“7 Trillion Wireless Sensors by 2017” Wireless World Research, Bosch
Source: Mobihealthnews, Wall Street Journal, IDC, ABI, GSMA, HP, KPHO, MEPTEC
Retail
35k US supermarkets; 50k products each. RFID
in each?
Logistics
A USXpress truck tracks 900 data points from
10k sensors
Wearables
485m wearable devices in US by ’18
(ABI)
Healthcare
Rise of the Disposable Med Device Sensor
Home/ Office
490m smart meters & 13m homes with energy mgmt by 2015:12M automated systems 2016 (IDC, ABI, GSMA)
Earth Monitors
1 trillion sensors to monitor oil & gas,
wildlife, climate (HP)
Auto Data Growing by Factor of 100x
Ford Fusion Energi car: 25gb/hr
“Ford experimenting with cars that generate 10x that, or 250gb/hr”
Google self-driving cars: 3600 gb/hr
0
20
40
60
80
100
120
140
160
2011 2012 2013 2014 2015 2016 2017
(Mill
ion
TB
)
Source: Cisco, IDC
70%+ CAGR
Global Mobile Data To Grow 16x in next 5 years
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
Explosion of Unstructured Data
Descriptive v. Predictive Analytics
Streaming Analytics: real-time analysis
Distributive Analytics: sensor v. server data processing
Data Visualization: discerning signal from noise
Source: Domo
Big Data Landscape – Many New Segments
Adapted from Dave Feinleib (Forbes)
Many New Smart Data Companies Created T
rad
itio
na
l Da
ta
In
tern
et-
ba
sed
Da
ta
Em
erg
ing
Da
ta
$1.5B
$9B
$7B
$4B
$2B
Smart Data: Where do we go from HERE?
Time
Gartner Hype Cycle
Inflated Expectations
Trough of Disillusionment Slope of
Enlightenment
Signal to Noise Ratio
Technology Trigger
Expectations
Intelligence
Data Overload Noise > Signal
Slope of Discernment
BO ILSOE Partner
WALTER MASALIN Principal
JOHN GARDNER Partner
ANNIE LIN Senior Associate
PAUL ASEL Partner
UPAL BASU Partner
ANUPAM RASTOGI Principal
VIVEK GOYAL Analyst
DAVID TANG Partner
LU GUO Principal
YAO GE Associate
KEVIN LAU Associate
Contact
SAN FRANCISCO GENEVA HELSINKI NEW DELHI BEIJING