autotech council big data nokia growth partners 13.12.2013

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