Icss 20130411 v2

IBM University Programs worldwide, accelerating regional development (IBM Upward)

Reframing Big Data & Service Science

Working together to build a Smarter Planet

Dr. James (“Jim”) C. Spohrer, spohrer@us.ibm.com
Innovation Champion and Director IBM UPward
(University Programs worldwide, accelerating regional development)
International Conference on Service Science (ICSS2013)
Shenzen, China
April 11, 2013

© 2013 IBM Corporation

Thanks

2 IBM UPward (University Programs worldwide – accelerating regional development) © 2013 IBM Corporation

Growth


Innovation
Nation Year Innovation
England 1800- Industrial Revolution
Germany 1850- Chemicals Revolution
USA 1900- Electrical & Information
Revolution
Japan 1970- Quality Innovation:
Product Revolution
Finland 1990- Mobile Communication
Revolution
India 2000- Cost Innovation:
Services Revolution
China 2000- Cost Innovation:
Product Revolution
South Korea 2010- Smart Phones
? Big Data & Service
Systems

Big Questions: Scale “Laws”

Service Systems: Stakeholders & Resources
1. People
2. Technology
3. Shared Information
4. Organizations
Computational System connected by win-win value propositions
Smarter Switches: Volume Smarter Systems: Value
Requires investment roadmap Requires investment roadmap

The basics

 How many switches?
 How fast?
 How many models?
 How accurate?
 What value?
 What cost?


Managing Uncertain Data at Scale

The fifth dimension of Big Data: Value!

Volume Velocity Variety Veracity*

Data in Many
Data at Rest Data in Motion Data in Doubt
Forms
Terabytes to Streaming data, Structured, Uncertainty due to
exabytes of existing milliseconds to unstructured, text, data inconsistency
data to process seconds to respond multimedia & incompleteness,
ambiguities, latency,
deception, model
approximations

* Truthfulness, accuracy or precision, correctness

Global Technology Outlook 2012 - Do Not Distribute © 2011 IBM Corporation 7


By 2015, 80% of all available data will be uncertain

By 2015 the number of networked devices will
be double the entire global population. All
9000
sensor data has uncertainty.
8000 100
Global Data Volume in Exabytes

90 The total number of social media
7000
accounts exceeds the entire global
Aggregate Uncertainty %

80 population. This data is highly uncertain
6000
in both its expression and content.
70

s)
5000

of r s
in g
rn nso
60

Th
Data quality solutions exist for

e
4000

S
50

et
enterprise data like customer,

te
(In
3000 40 product, and address data, but
this is only a fraction of the ia )
M ed d text
2000
30 total enterprise data. i a l an
S ,oc audio
20 eo P
1000 (vid VoI
10
0 Enterprise Data
Multiple sources: IDC,Cisco
2005 2010 2015


Simulations

 Particles in Universe
– 10**80 protons

 Neurons in Human Brain 15

– 10**11 neurons
12
– 10**15 synapses Heart Simulation
Log
9 Universe Simulation
Entities Brain Simulation

6 existing projects
Earth Simulator
and projection

2000 2010 2020 2030


Cognitive Computing

 Recent Simulation of the Brain
– Using novel techniques we have
simulated a rat scale brain

 Develop an artificial nano-synapse

 Develop an artificial cortex chip for a mouse
and later for a cat

 Demonstrate by running a virtual mouse and
cat through a virtual maze in a 3D virtual world

Monkey Brain Wiring Diagram
 400 areas
 7,000 connections

© 2012 IBM Corporation 10

1014 on November 14, 2012

Inspired by the function, power, and volume of the organic brain,
IBM is developing TrueNorth, a novel modular, scalable, non-von
Neumann, ultra-low power, cognitive computing architecture.
TrueNorth consists of a scalable network of neurosynaptic cores,
with each core containing neurons, dendrites, synapses, and
axons. To set sail for TrueNorth, IBM developed Compass, a
multi-threaded, massively parallel functional simulator and a
parallel compiler that maps a network of long-distance pathways
in the macaque monkey brain to TrueNorth.
IBM and LBNL demonstrated near-perfect weak scaling on a 16
rack IBM Blue Gene/Q (262,144 processor cores, 256 TB
memory), achieving an unprecedented scale of 256 million
neurosynaptic cores containing 65 billion neurons and 16 trillion
synapses running only 388× slower than real time with an
average spiking rate of 8.1 Hz. By using emerging PGAS
communication primitives, IBM also demonstrated 2× better real-
time performance over MPI primitives on a 4 rack Blue Gene/P
(16384 processor cores, 16 TB memory). Here is PDF of final
paper.
NEW NEWS: Since submitting the camera ready copy, using 96
Blue Gene/Q racks of the Lawrence Livermore National Lab
Sequoia supercomputer (1,572,864 processor cores, 1.5 PB
memory, 98,304 MPI processes, and 6,291,456 threads), IBM
and LBNL achieved an unprecedented scale of 2.084 billion
neurosynaptic cores containing 53x10 10 neurons and 1.37x1014
© 2012 IBM Corporation synapses running only 1542× slower than real time. Here is PDF
of IBM Research Report, RJ 10502.

Today’s Talk

 IBM 101
IBM Smarter Planet
 Big Data!

 Service Science

 Future = Smarter Planet

 Universities = Smarter Cities

Nano-Bio-Info-Cogno

IBM SSME Centennial Icon of Progress


More than 40% of New Era in IBM’s Leadership
IBM’s workforce
conducts business
away from an office

IBM has
~425,000
24% of IBM’s revenue 2012 Financials
employees
worldwide in Growth Market  Revenue - $ 104.5B
countries; growing at  Net Income - $ 17.6B
IBM operates in 170 7% ( @cc) in 2012  EPS - $ 15.25 (10 yrs of
countries around the globe EPS d/digit growth)
Acquisitions contribute
 Net Cash - $18.2B
significantly to IBM’s growth ;
~120 acquisitions in last decade

IBM’s Initiatives for Growth
Number 1 in patent
generation for 20
100 Years of Business & consecutive years ;
Innovation in 2011 6,478 US patents
awarded in 2012 The Smartest Machine On Earth

10 time winner of
the President’s 5 Nobel Laureates
National Medal of
Technology &
Innovation – latest
for LASIK laser
refractive surgical
techniques
13 IBM University Programs (IBM UP) © 2013 IBM Corporation

What’s UP with IBM? University Programs

14

Most people say, “IBM makes computers”

15

Those in-the-know say, “IBM is helping to build a Smarter
Planet…”

16

A Smarter Planet is built from smarter service
systems…

INSTRUMENTED INTERCONNECTED INTELLIGENT
We now have the ability People, systems and We can respond to changes
to measure, sense and objects can communicate quickly and accurately,
see the exact condition and interact with each and get better results
of practically everything. other in entirely new by predicting and optimizing
ways.
PRODUCTS IT NETWORKS for future events.
COMMUNICATIONS

WORKFORCE SUPPLY CHAIN TRANSPORTATION BUILDINGS

17

Neonatal ICU: Instrumented-Interconnected-Intelligent


City challenge: buildings and transportation

Ryan Chin:
Smart Cities

19

Streetline: Instrumented-Interconnected-Intelligent

20

Example: Streetline


Cities: land-population-energy-carbon

Carlo Ratti:
Senseable Cities

22

Digital Immigrant vs Digital Native

Born: 1988 Born: 2012
Graduated College: 2011 Enters College: 2030


2030 Transportation: Self-driving cars

Steve Mahan:
Test “Driver”


2030 Water


2030 Manufacturing
Baxter: Building the Future

Ryan Chin:
Urban Mobility
Maker-Bot: Replicator 2

2030 Energy


2030 ICT


Example: Leading Through Connections with…
Universities Collaborate with IBM Research to Design
Watson for the Grand Challenge of Jeopardy !

Assisted in the development of the Open Pioneered an online natural language
Advancement of Question-Answering question answering system called START,
Initiative (OAQA) architecture and which provided the ability to answer questions
methodology with high precision using information from
semi-structured and structured information
repositories

 Provided technological advancement
enabling a computing system to remember the Worked to extend the
full interaction, rather than treating every Worked on a visualization component to capabilities of Watson, with a
question like the first one - simulating a real visually explain to external audiences the focus on extensive common
dialogue massively parallel analytics skills it takes for sense knowledge
the Watson computing system to break down
a question and formulate a rapid and accurate
response to rival a human brain

Explored advanced machine learning
techniques along with rich text
representations based on syntactic and
Focused on large-scale
semantic structures for the Watson’s Worked on information information extraction,
optimization
retrieval and text search parsing, and knowledge
technologies inference technologies

http://w3.ibm.com/news/w3news/top_stories/2011/02/chq_watson_wrapup.html


2030 Buildings: Recycled to be stronger, safer, cleaner

China Broad Group:
30 Stories in 15 Days


2030 Retail & Hospitality


2030 Finance & Business


2030 Health


2030 Education: Watch one, do one, teach one…


2030 Government

Four measures

 Innovativeness

 Equity
– Improve
weakest
link

 Sustainability

 Resiliency


Competitive Parity – Achieved.

 The NFL has spent the last two
decades touting its parity—the
idea that any team can win on any
given Sunday (or Monday or
Thursday). But this year, parity
has truly run wild.

 … here's the wackiest thing:
Through six weeks, 11 of the
NFL's 32 teams are 3-3. The
Journal asked the statistical
gurus of Massey-Peabody
Analytics to run a coin-flip
simulation…


2030 and Beyond…. Government, Health, Education, Finance, etc.


Four Missions

 Knowledge Transfer (Teaching)

 Knowledge Creation (Research)

 Knowledge Application (Entrepreneurship)

 Knowledge Integration (Bridge Silos)


A city is essentially a
system of service
systems—transportation,
healthcare, public safety
and education.

To enable a Smarter
City, IBM is working to
improve the quality &
efficiency of service
systems and how they
operate and function.

41 IBM GMU External Relations 2012

IBM University Programs:
What We Do: The “6 R’s” (not to be confused with 3 R’s)

1. Research
Research awards focus on grand challenge problems and big bets
https://www.ibm.com/developerworks/university/research

2. Readiness
Access to IBM tools, methods, and course materials to develop skills
https://www.ibm.com/developerworks/university/academicinitiative

3. Recruiting
Internships and full-time positions working to build a smarter planet
http://www.ibm.com/jobs

4. Revenue
Improve performance, the university as a complex enterprise (city within city)
http://www.ibm.com/services/us/gbs/bus/html/bcs_education.html

5. Responsibility
Community service provides access to IBMers expertise/resources
http://www.ibm.com/ibm/ibmgives/

6. Regions
Regional innovation ecosystems – incubators, entrepreneurship, jobs
http://www.ibm.com/ibm/governmentalprograms/innovissue.html


Universities Worldwide Accelerating Regional Development

“When we combined the impact of Harvard’s direct spending on payroll, purchasing and construction –
the indirect impact of University spending – and the direct and indirect impact of off-campus spending by
Harvard students – we can estimate that Harvard directly and indirectly accounted for nearly $4.8 billion
in economic activity in the Boston area in fiscal year 2008, and more than 44,000 jobs.”


What are the benefits of top-ranked universities?
% WW GDP and % WW Top-500-Universities
9

Japan
8

7 y = 0,7489x + 0,3534
R² = 0,719 China
6 Germany

5
France

4 United Kingdom
Italy
%
G
D
o
b
P
a
g
l

3
Russia Brazil Spain
Canada
2 India
Mexico South Korea Australia
Turkey Netherlands
1
Sweden

0
0 1 2 3 4 5 6 7 8 9

% top 500 universities

Strong Correlation (2009 Data): National GDP and University Rankings
http://www.upload-it.fr/files/1513639149/graph.html

What are the benefits of more education? Of higher skills?

…But it can be costly, American student loan debt is over $900M


Regional Competitiveness and U-BEEs:
Where imagined possible worlds become observable real worlds
http://www.service-science.info/archives/1056

novations Nation
niversities/ “The future is already
State/Province here (at universities),
egions City/Region
culus (Cambridge/UK)
For-profits
it is just not evenly
ysics (Cambridge/UK) U-BEE
mputer Science (Columbia/NY) distributed.”
rosoft (Harvard/WA) Job Creator/Sustainer
hoo (Stanford/CA) Hospital
Cultural & University
ogle (Stanford/CA) Medical
Conference College
ebook (Harvard/CA) Research
Hotels K-12
“The best way to
Non-profits Worker
(professional )
Family
(household)
predict the future
is to (inspire the next
generation of students
to) build it better.”

U-BEEs = University-Based Entrepreneurial Ecosystems, City Within City

Service Innovators

 ISSIP = International
Society of
Service Innovation
Professionals

 T-shaped Professionals
– Depth
– Breadth

 Register at:
– ISSIP.org


T-shaped professionals
depth & breadth

Many cultures
Many disciplines
Many systems
(understanding & communications)

BREADTH

Deep in one discipline

Deep in one system
Deep in one culture
DEPTH

(analytic thinking & problem solving)

48

Systems-Disciplines Framework: Depth & Breadth
systems Systems that focus on flows of things Systems that support people’s activities Systems that govern
transportation & ICT & retail & healthcare
food & education city state nation
disciplines supply chain water & energy
products & electricity
cloud building & hospitality banking & family
&work secure scale laws
waste construction & finance
behavioral sciences
Customer
stakeholders

e.g., marketing

Provider management sciences
e.g., operations
Observe Stakeholders (As-Is)
political sciences
Authority
e.g., public policy
learning sciences
Competitors e.g., game theory
and strategy
cognitive sciences
People
e.g., psychology
resources

system sciences
Technology
e.g., industrial eng.
information sciences
Observe Resource Access (As-Is)
Information
e.g., computer sci
organization sciences
Organizations
e.g., knowledge mgmt

History social sciences
change

e.g., econ & law
(Data Analytics)
decision sciences
Imagine Possibilities (Has-Been & Might-Become)
Future e.g., stats & design
(Roadmap)
run professions
Run
e.g., knowledge worker
Transform
value

(Copy)
transform professions
e.g., consultant
Realize Value (To-Be)
Innovate innovate professions
(Invent)
e.g., entrepreneur


A Framework for Global Civil Society

 Daniel Patrick Moynihan said nearly 50 years ago: "If you want to
build a world class city, build a great university and wait 200
years." His insight is true today – except yesterday's 200 years
has become twenty. More than ever, universities will generate and
sustain the world’s idea capitals and, as vital creators,
incubators, connectors, and channels of thought and
understanding, they will provide a framework for global civil
society.
– John Sexton, President NYU


IBM Almaden Research Center, Silicon Valley/San Jose, CA


In Conclusion: Two Books To Help Us All Prepare For Change


Thank-You! Questions?

“Instrumented, Interconnected, Intelligent – Let’s build a Smarter Planet.” – IBM
“If we are going to build a smarter planet, let’s start by building smarter cities” – CityForward.org
“Universities are major employers in cities and key to urban sustainability.” – Coalition of USU
“Cities learning from cities learning from cities.” – Fundacion Metropoli
“The future is already here… It is just not evenly distributed.” – Gibson
“The best way to predict the future is to create it/invent it.” – Moliere/Kay
“Real-world problems may not/refuse to respect discipline boundaries.” – Popper/Spohrer
“Today’s problems may come from yesterday’s solutions.” – Senge
“History is a race between education and catastrophe.” – H.G. Wells
“The future is born in universities.” – Kurilov
“Think global, act local.” – Geddes

Dr. James (“Jim”) C. Spohrer
Innovation Champion &
Director, IBM University Programs worldwide accelerating regional development (IBM UPward)
spohrer@us.ibm.com


What improves Quality-of-Life? Service System Innovations
* = US Labor % in 2009.

A. Systems that focus on flow of things that humans need (~15%*)
1. Transportation & supply chain 2/7/4 0/19/0

2. Water & waste recycling/Climate & Environment 2/1/1
3. Food & products manufacturing 7/6/1
4. Energy & electricity grid/Clean Tech 1/1/0
5. Information and Communication Technologies (ICT access)5/17/27
B. Systems that focus on human activity and development (~70%*)
6. Buildings & construction (smart spaces) (5%*) 1/0/2
7. Retail & hospitality/Media & entertainment/Tourism & sports (23%*)24/24/1
8. Banking & finance/Business & consulting (wealthy) (21%*) 7/10/3
9. Healthcare & family life (healthy) (10%*) 2/20/24
5/2/2
10. Education & work life/Professions & entrepreneurship (wise) (9%*)
C. Systems that focus on human governance - security and opportunity (~15%*)
11. Cities & security for families and professionals (property tax) 3/3/1
12. States/regions & commercial development opportunities/investments (sales tax) 0/0/0
13. Nations/NGOs & citizens rights/rules/incentives/policies/laws (income tax) 1/2/2
Quality of Life = Quality of Service + Quality of Jobs + Quality of Investment-Opportunities
“61 Service Design 2010 (Japan) / 75 Service Marketing 2010 (Portugal)/78 Service-Oriented Computing 2010 (US)”


University: Four Missions
Nation

 Knowledge State/Province
– 1. Transfer (Teaching) City/Metro
For-profits U-BEE
– 2. Creation (Research)
Job Creator/Sustainer
– 3. Application (Benefits) Cultural & University
Hospital
Medical
Conference College
Research
• Commerce/Entrepreneurship Hotels K-12

• Governance/Policymaking
Worker Family
– 4. Re-Integration (Challenge) Non-profits (professional ) (household)

• Innovativeness, Equity
• Sustainability, Resilience

 Nested, Networked Holistic Service Systems
– Flows
Third Mission (Apply to Create Value)
– Development is about U-BEEs =
– Governance University-Based
Entrepreneurial Ecosystems


Universities Worldwide Accelerating Regional Development

“When we combined the impact of Harvard’s direct spending on payroll, purchasing and construction –
the indirect impact of University spending – and the direct and indirect impact of off-campus spending by
Harvard students – we can estimate that Harvard directly and indirectly accounted for nearly $4.8 billion
in economic activity in the Boston area in fiscal year 2008, and more than 44,000 jobs.”


Economic Shift in National Economies
World’s Large Labor Forces US shift to service jobs
A = Agriculture, G = Goods, S = Service
2010
2010

Nation Labor
% WW
A
%
G
%
S
%
40yr Service
Growth (A) Agriculture:
Value from
China 25.7 49 22 29 142%
harvesting nature

India 14.4 60 17 23 35%
(G) Goods:
U.S. 5.1 1 23 76 23% Value from
making products
Indonesia 3.5 45 16 39 34%
(S) Service:
Brazil 3.0 20 14 Daryl Pereira/Sunnyvale/IBM@IBMUS,
66 61% Value from
IT augmented workers in smarter systems
Russia 2.4 10 21 69 64% that create benefits for customers
and sustainably improve quality of life.
Japan 2.2 5 28 67 45%

Nigeria 1.6 70 10 20 19%

Bangladesh 2.1 63 11 26 37%

Germany 1.4 3 33 64 42%

NationMaster.com, International Labor Organization
Note: Pakistan, Vietnam, and Mexico now larger LF than Germany


Growth of Service Revenue at IBM
2010 Pretax Income Mix Revenue Growth by Segment
SYSTEMS
(AND FINANCING)

SOFTWARE

17% Services
44%

Software
39% Systems

SERVICES

IBM Annual Reports
What do IBM Service Professionals Do? Run IT & enterprise systems for customers,
help Transform customer processes to best practices, and Innovate with customers.

California Human Development Report 2011:
Measuring quality-of-life….

http://www.measureofamerica.org/docs/APortraitOfCA.pdf

Measuring Impact

 SSME: IBM Icon of Progress & IBM Research Outstanding Accomplishment
– Internal 10x return: CBM, IDG, SDM Pricing & Costing, BIW COBRA, SIMPLE, IoFT, Fringe, VCR
• Key was tools to model customers & IBM better
• Also tools to shift routine physical, mental, interactional & identify synergistic new ventures
• Alignment with Smarter Planet & Analytics (instrumented, interconnected, intelligent)
• Alignment with Smarter Cities, Smarter Campus, Smarter Buildings (Holistic Service Systems)
– External: More than $1B in national investments in Service Innovation activities
– External: Increase conferences, journals, and publications
– External: Service Science SIGs in Professional Associations
– External: Course & Program Guidelines for T-shaped Professionals, 500+ institutions
– External: National Service Science Institutions, Books & Case Studies (Open Services Innovation)

 Service Research, a Portfolio Approach
– 1. Improve existing offerings (value propositions that can move the needle on KPI’s)
– 2. Create new offerings (for old and new customers)
– 3. Improve outcomes insourcing, outsourcing, acquisitions, divestitures (interconnect-fission-fusion)
– 4. For all three of the above, improve customer/partner capabilities (ratchet each other up)
– 5. For all four of the above, increase patents and service IP assets (some donated to open forums)
– 6. For all five of the above, increase publications and body-of-knowledge (professional associations)


Who I am (http://www.service-science.info/archives/2233)
 Director IBM Global University Programs since 2009
– Global team works with 5000 university world wide (http://www.ibm.com/university)
– 6 R’s: Research (Awards), Readiness (Skills), Recruiting, Revenue, Responsibility, Regions
– Transform “IBM on Campus” brand awareness (“Smarter Planet/Smarter Cities”)
– Create “Urban Service System” Research Centers & U-BEEs
 Founding Director of IBM's first Service Research group from 2003-2009
– Almaden Research Center, San Jose, CA
– 10x ROI with four IBM outstanding and eleven accomplishment awards
– Improve existing offerings, create new, portfolio synergies, partners, patents, publications
– I know/work with service research pioneers from many academic disciplines
• I advocate for Service Science, Management, Engineering, and Design (SSME+D)
– Short-term: Curriculum (T-shaped people, deep in an existing discipline)
– Long-term: New transdiscipline and profession (awaiting CAD tool)
• I advocate for ISSIP (“one of the founding fathers”)
• Co-editor of the “Handbook of Service Science” (Springer 2010)
 Other background (late 90’s and before)
– Founding CTO of IBM’s Venture Capital Relations group in Silicon Valley
– Apple Computer’s (Distinguished Engineer Scientist and Technologist) award (90’s)
– Ph.D. Computer Science/Artificial Intelligence from Yale University (80’s)
– B.S. in Physics from MIT (70’s)


What is the future? We can imagine many possibilities…

Kurzweilai.net

IBM’s Strategic Beliefs

A new client An evolving IBMer A new era of computing

 In the front office  Understands needs  More consumable
 In new roles of clients  Insight-driven
 In new industries  Expertise  Cognitive
 Creates new value

© 2012 IBM Corporation IBM UPward (University Programs worldwide – accelerating regional development) © 2013 IBM Corporation

Reimagining how science and technology can have
impact

• Managing human • Reimagining the • Fighting infectious
impact on rivers by energy grid by disease by spreading
streaming information synchronizing supply data
• Reducing traffic jams • Reducing CO2 while • Improving
by creating them boosting business communication by
efficiency talking to the Web
• Helping premature
infants by sensing • Mapping beneath the • Creating drinking water
complications before seafloor to help reduce by filtering oceans
they happen the risk of dry holes


Innovation That Never Stops

Watson 3D Systems DNA Transistor

12 Atom Storage Neonatal Care Spoken Web
65

Dr. Bernard S. Meyerson © IBM Corporation
IBM - Deutsche Bank Innovation Workshop, Hawthorne, May 2012

Leading IBM: Eras of computing
Cognitive
Systems Era

Programmable
Systems Era
Computer Intelligence

Tabulating
Systems Era

On August 22, 1943, 105 men, women and children,
among them 43 IBM employees, alighted from a special train
that carried them across the continent to establish new homes
and the new IBM Card Manufacturing Plant Number 5 at 16th
Time and St. John Streets, San Jose, CA.


Uncertainty arises from many sources

Process Uncertainty Data Uncertainty Model Uncertainty
Processes contain Data input is uncertain All modeling is approximate
“randomness”

Intended Actual
Spelling Text Entry Spelling

? ?
? Fitting a curve to data
Uncertain travel times GPS Uncertainty

? ?
Testimony
?
{Paris Airport}
Ambiguity

{John Smith, Dallas}
Semiconductor yield {John Smith, Kansas} Forecasting a hurricane
Contaminated? (www.noaa.gov)
Rumors Conflicting Data



WSJ Monday March 11, 2013 Opportunities Areas

2010 FB 100PB Medical data Marketing
2000 Google 25PB Social media Hotels
1990 Walmart 180TB Surveillance 9.2TB
1980 Citicorp 450GB 50M customers
1970 FedExp 80GB IT Spend
1960 AA 807MB 2011 ~30B Operations
1950 Hancock 600MB 2016 ~60B Shipping
16.1PB
Science data is bigger Challenges Deliveries
Also, government open data
Talent HR
Who owns data? Data gathering 4-5PB
Hub-of-All-Things (HAT) Tools 37M Resumes
Time to work
Platform Games
3PB
298M players

Essential #1: People (T-Shaped Innovators)
Requirement: Deep, Expert-Thinking, with Broad Complex-Communications Skills

Broad across many

Many team-oriented projects completed
(resume: outcomes, accomplishments & awards)

Many disciplines Many systems
(understanding & communications) (understanding & communications)




Deep in one system
Deep in one system

Deep in at least one
69


IBM Research – Africa

 Nairobi, Kenya
 Our 12th research lab
 IBM’s first lab on the continent
 Initial focus
– Next Generation Public Sector
• e-government
– Smarter Cities
• water & transportation
– Human Capacity Development
• technology & business skills


IBM Research: The World is Our Lab

Dublin
China
Zurich
Almaden Watson Haifa
India Tokyo

Austin

Brazil

Melbourne

IBM Research labs
Labs added since 2010
Other IBM Research presence


IBMs Worldwide Innovation Infrastructure
~3,000 Researchers Around the World

Almaden (1955)
Almaden (1955) Watson (1961)
Watson (1961) Tokyo (1982)
Tokyo (1982)
San Jose, CA Yorktown Heights, NY
Zurich (1956)
Zurich (1956) Yamato, Japan
San Jose, CA Yorktown Heights, NY Yamato, Japan
Rueschlikon, Switzerland
Rueschlikon, Switzerland

First New
First New
Research Lab
Research Lab
in 12 Years
in 12 Years

Austin (2010)
Brazil (1995)
Austin (2010)
Brazil (1995) China (1995)
China (1995)
Sao PauloAustin, TX Janeiro
Austin, TX Janeiro
&Rio de
Sao Paulo &Rio de Beijing, China
Beijing, China

Brazil
Brazil Haifa (1972)
Haifa (1972) India (1998)
India (1998) Australia
Australia
Sao Paulo &Rio de Janeiro
Sao Paulo &Rio de Janeiro Haifa, Israel Delhi, India
Delhi, India Melbourne, Victoria
Melbourne, Victoria
Haifa, Israel

72

72

The World is Now Our Laboratory

China
Zurich Pangoo Tokyo
Almaden Watson Haifa

Austin India

Brazil

IBM Research Lab

Global, Smarter Planet Collaborations

73


Four commandments for cities of the future: Eduardo Paes
at TED2012

74

SC IOC as a Platform for Innovation

75


Identifies entrepreneurs developing
businesses aligning with our Smarter
Planet vision.

SmartCamp finalists raised more than
$50m and received significant press in
Exclusive Networking and Wall Street Journal, Forbes and
Bloomberg
Mentoring event

in
Healthcare SmartCamp kickstart - Miami - May 15, 2012
Apply by April 27th

SmarterCities SmartCamp kickstart - New York - May 24, 2012
Apply by May 3rd

North America Regional SmartCamp - Boston - June 20 & 21, 2012
Apply by May 25th

apply now at www.ibm.com/isv/startup/smartcamp
76

North America SmartCamp lead: Eric Apse, eapse@us.ibm.com
University Programs lead: Dawn Tew, dawn2@us.ibm.com 76

Education and Employment

78

What are the benefits of more education? Of higher
skills?

…But it can be costly, American student loan debt is over $900M
79

What are the benefits of top-ranked universities?
% WW GDP and % WW Top-500-Universities

9

Japan
8

7 y = 0,7489x + 0,3534
R² = 0,719 China
6 Germany

5
France

4 United Kingdom
Italy
%
G
D
o
b
P
a
g
l

3
Russia Brazil Spain
Canada
2 India
Mexico South Korea Australia
Turkey Netherlands
1
Sweden

0
0 1 2 3 4 5 6 7 8 9

% top 500 universities

Strong Correlation (2009 Data): National GDP and University Rankings
http://www.upload-it.fr/files/1513639149/graph.html
80

Many top in-demand jobs in 2011 did not
exist in 2005!
•iPhone/iPad app developer
•wireless marketing director
•microfinance infrastructure designer
•3D content developer for movies, TV
•social network manager
•deploying technology into the cloud
•organic solar cell development
•digital image management

81
81

Technological
Acceleration

100 Television
Electricity Telephone
Radio
% Penetration

Automobile
VCR
50
PC

Cellular
25
t
r ne
e
Int

0 25 50 75 100 125 150
Years
YEARS
82

Five historical cycles …

83

~100 years of US job transformations

Source: US Bureau of Economic Analysis; McKinsey Global Institute Analysis
84

U.S Department of Labor
estimates that today’s learner
will have 10-14 jobs…
by the age of 38!

85
85

 Estimates are 85% of the jobs today’s learners will be doing
haven’t been invented yet

86 they'll be using technologies that don't exist
86

 to solve problems we don't yet know are problems

The Top Majors For The Class Of 2022

• Math
• Robotics
• Agricultural Engineering
• Hospitality Management
• Health and Biotechnology
• Pre-Law, With a Focus on Elder Law
• Quantum Engineering
• 3-D Printing Design
• Liberal Arts
• Aerospace Engineering

87

IBM Almaden Research Center, Silicon Valley/San
Jose, CA

88

Smarter City Intelligent Operations Center (SC IOC)


Up-Skill = New Venture = Graduates with
Smarter Planet skills
= High-Growth
Cycle = Acquisition = IBMer moving from
Acquisition/
New IBM BU
mature BU to acquisition
(Growing)
= IBMer moving into
IBMer on Campus role
(help create graduates = High-Productivity/
University-Region1 with Smarter-Planet skills, Mature IBM BU
help create Smarter Planet
oriented new ventures; (Shrinking)
Refresh skills

University-Region2
IBM


Many cultures
Many disciplines
Many systems
(understanding & communications)


Deep in one system
Deep in one culture

91

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