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P f  A  ShProfessor Amy Shuen
Expert Address Oct 13, 2011
amyshuen@hku.hk
Overview
Moore’s law is driving mobilityg y
Smartphone 2009
6 MH  P
PC  2001
6 MH  P60MHz Processor
256MB Memory
60MHz Processor
256 MB Memory
16/32 GB Storage
320x480 Display
16/32 GB Storage
800 x 600
$599 $999
Moore’s law continues with…
Mobile data traffic explodingp g
Web 2.0 goes mobile, social, viral…

6
2005‐‐‐‐‐‐‐‐‐‐‐‐‐‐2007‐‐‐‐‐‐‐‐‐‐‐2009‐‐
Facebook as Social Platform
Facebook as Mobile Social Platform
Groupon as 
Mobile Ecommerce not SocialMobile Ecommerce not Social
Consumer apps 
are in the Cloudare in the Cloud
Cloud computing 
is a world where 
computing power, 
storage and 
applications are applications are 
delivered over a 
public and/or 
private networkprivate network
Business Insider  Google Image
Big Data:  The Big Story of 2011g g y
What’s new with Big Data?g
Information is not knowledge…
Ei i‐‐Einstein
What can you do with Big Data?y g
Solve Big ProblemsSolve Big Problems
Make Customers Happy…ppy
While they spend more   AND 
Influence their social circles
When  ANDWhen  AND
Where they play or work…y p y
350 Million people = 
h ll ddChina will add one 
NYC a year from now NYC a year from now 
till 2025till 2025
www.amyshuen.com
www.amyshuen.com
How could your smartphone help?y p p
Crowdsourcing
CrowdsensingCrowdsensing
Augmented Reality in NYCg y
The internet of parking spaces…p g p
No More Squeezing into spaces… 
Yo! Taxi…CabSense to the rescue
Data and routes from 90 Million trips help you predict Data and routes from 90 Million trips help you predict 
where to stand on a rainy day… 
Raising $150M for Haiti Relief…g $
Macro‐level use of aggregateMacro‐level use of aggregate 
location data
Smarter Cities:
Urban planning—traffic to parking, Singapore public 
transportation, Netherlands traffic agencies for 
congestion control, emergency planning
Sense‐networks—where to hail a taxi,   Street bump—
pothole detection using accelerometers.
Retail business intelligence:
shopping patterns, insights for promotions and 
advertising, granular intelligence and segmentation
Web 3.0…
Using massive amounts of personal data 
d b  W b     d li  hi hl  generated by Web 2.0 to deliver highly 
personal, customized experiences relevant p p
to personal interests ,social graphs and real‐
time location…time location…
Reid Hoffman, founder of LinkedIn at SXSW 
2011
Foursquare asFoursquare as 
Twitter + Location
Things to do with social graphs…g g p
 LinkedIn Skills find people  companies   LinkedIn Skills—find people, companies, 
job‐related to each skill
 Waze—data about commute location and 
speed to deliver traffic advicep
 Redfin—info to homebuyers
Big data + social + locationg
1 Big data + Personalization   1. Big data + Personalization = 
Recommendation Engines
2. Gamification—Life as Game
3. Micropayments
4 Social Reputation Scores4. Social Reputation Scores
5. Location‐based Local commerce5
70% LBS in consumer surplusp
Ex 31, page 94 McKinsey Report Big Data
Expected Enterprise Challengesp p g
 Technology
 Privacy Privacy
 Competition over  access to user identity
 Making mobile payment and commerce easier for the  Making mobile payment and commerce easier for the 
user—NFC, mobile billing, mobile wallet, P2P 
payment Paypalp y yp
 And the SMB merchant—Square, Groupon Mobile
 Mobile Economy—virtual goods and the real worldMobile Economy virtual goods and the real world
 Innovative business models to monetize value 
generated by network effectsg y
Unexpected Enterprise Challengesp p g
 IT Resistance and NIH from Structured Database Mgrsg
 Big Data DNA—Where to find the talent & leadership?
Maybe in China and India?Maybe in China and India?
 Decision 2.0 :  Intuition/Experience vs. Analytics
Fi di  “ l ” Finding “clue”
 Making Big Data as easy as Google search
 Putting Big Data in the hands of every employee that 
needs it, when they need it—Enterprise Mobile 3.0
Creativity is just connecting things. When you y j g g y
ask creative people how they did something, 
they feel a little guilty because they didn't y g y y
really do it, they just saw something. It 
seemed obvious to them after a while. That's 
because they were able to connect experiences 
they've had and synthesize new things. y y g
Steve Jobs
“The best way to predict the future is to create it…”

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