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CSO

Kaz Ataka 2017, 170213 METI

AI

Chief Strategy OfficerYahoo! JAPAN

February 13, 2017

CSO


with +

Chief Strategy Officer (CSO)

1

CSO


Biz

Sci Eng

2

CSO


recap

3


: 2015.5.23 (http://www.applstat.gr.jp/seminar/ataka.pdf)

(18~20)

4

recap

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ICT ICT

AV

5

recap


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: Diamond (2015/11)

6

recap

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7

New York City 1900

https://commons.wikimedia.org/wiki/File:EasterParade1900.jpg

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8

New York City 1913

https://commons.wikimedia.org/wiki/File:Ave_5_NY_2_fl.bus.jpg

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9

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618 539

483 402 374 356 332

232

217

178

billion dollars

123456:13:20:29

46 14 17 24

16 1 4

1

5

18

Ranking Market capRe:Net profit

ICT companies

: World Stock Market Cap by Think 180 around (Dec 2016)

:

:

:

recap

10

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billion dollars

: World Stock Market Cap by Think 180 around (Dec 2016)

0

100

200

300

400

500

600

0 10 20 30 40 50

Market cap

Net profit

recap

11

CSO


Old Game New Game

/GDP

ICT

12

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https://commons.wikimedia.org/wiki/File:Steve_Jobs_Headshot_2010-CROP.jpghttps://www.tesla.com/powerwall?redirect=no 13

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AI3

ICT

: 2 (2015.10)http://www.meti.go.jp/committee/sankoushin/shin_sangyoukouzou/002_haifu.html

recap

14

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recap

15

10 10 7.6

2.2

17

3.20.11

3.0 1.6

0.39

10

0.70

WebYahoo! JAPAN (201611

e

LINE

SNS

0.47

CSO


Protections everywhere

Car sharing

C2C payment

TEDxTokyo 2016 Shin Nihon by Kaz Ataka (2016.10.22)

Room sharing

16

CSO


cost of industrial electricity (yen/kwh)

IEA Energy Prices and Taxes (OECD

510

TohokuKyushuU.S.

Japan

17

CSO


TEDxTokyo 2016 Shin Nihon by Kaz Ataka (2016.10.22) 18

CSO


IPAIT 2009

ICT

recap

19

CSO


SIercoder *

: 2015.5.23 (http://www.applstat.gr.jp/seminar/ataka.pdf) *

recap

20

CSO


Number of science and technology graduates10k/year

Ratio of science and tech major student

2012Populationmillions

OECD Graduated by field of education (http://stats.oecd.org/Index.aspx?DatasetCode=RGRADSTY#)

63

63

45

31

23

S Korea

Germany

UK

US

Japan

21

recap

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Totalthousands

Graduates per 100 people

Big data: The next frontier for innovation, competition, and productivity (McKinsey Global Institute; May 2011) 22

recap

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Number of Data Science degree programs

500+

120~30

201720162015

TEDxTokyo 2016 Shin Nihon by Kaz Ataka (2016.10.22) 23

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MIT CSAIL Prof. Daniela Rus Toward the Fourth Industrial Revolution 2016.7.14)

# of undergraduate computer science major in US top schools

24

recap

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# of introductory computer science enrollment in US top schools

MIT CSAIL Prof. Daniela Rus Toward the Fourth Industrial Revolution 2016.7.14) 25

recap

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recap

26

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27

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*

geek/hacker

*: 2015.5.23 (http://www.applstat.gr.jp/seminar/ataka.pdf)

recap

28

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Larry Page

Sergey Brin

StanfordPhD programComputer science

ElonMusk

StanfordPhD programApplied physics

Jerry Yang

StanfordBS/MSElectrical engineering

Andy Rubin

Utica CollegeBSComputer science

HPWikipedia

MarkZuckerberg

HarvardBSPsychology & Computerscience

29

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renew

: 2015.5.23 (http://www.applstat.gr.jp/seminar/ataka.pdf) 30

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Not even a competition

31

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Like 164 years ago164

32

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: 5 (2016.1) http://www.meti.go.jp/committee/sankoushin/shin_sangyoukouzou/005_haifu.htmlTEDxTokyo 2016 Shin Nihon by Kazuto Ataka (2016.10.22) https://www.youtube.com/watch?v=G6ypXVO_Fm0

1750~ 1900~ 1960~

33

recap

CSO


1750~

1900~

1960~

: 5 (2016.1) http://www.meti.go.jp/committee/sankoushin/shin_sangyoukouzou/005_haifu.htmlTEDxTokyo 2016 Shin Nihon by Kazuto Ataka (2016.10.22) https://www.youtube.com/watch?v=G6ypXVO_Fm0 34

CSO


: 5 (2016.1) http://www.meti.go.jp/committee/sankoushin/shin_sangyoukouzou/005_haifu.html

AI

Phase IAI

AI

Data professionals

Phase II

AI

2025?

Power to the people

Phase III

2035?

recap

35

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&

36

CSO


37

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: AI 20164http://www.hitachihyoron.com/jp/pdf/2016/04/2016_04_00_talk.pdf

AI

vs AI vs

38

CSO


+

MECE

So What

+ +

: 2015.5.23 (http://www.applstat.gr.jp/seminar/ataka.pdf) 39


40

3

(business problem

solving)

(data science)

(data engineering)

(2014.12.10) http://www.datascientist.or.jp/news/2014/pdf/1210.pdf

recap

CSO


Not this But this

codingSE


data professional

41

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(1)

42

Google Micro-Moments

: https://www.thinkwithgoogle.com/micromoments/intro.htmlhttps://think.storage.googleapis.com/docs/micromoments-guide-to-winning-shift-to-mobile-download.pdf

CSO


(2)

http://www.nature.com/articles/nature21056.epdf 43

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Data Scientist

()

()

()

44 21(NLP2015) Yahoo! JAPAN (2015.3.17)

CSO


AI

: Diamond (2015/11) 45

CSO


38 25

19461859

29

Google 1998

Larry Page 25Sergei Brin 25

Apple 1976

Steve Jobs 21Steve Wozniak 26

: Wikipedia,

1917

24 16

1875

Graham Bell 28

1868

Thomas Edison 21

1905

Albert Einstein 26

46

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Entrepreneurship

: http://scet.berkeley.edu/undergrad/, http://extreme.stanford.edu 47

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https://www.weforum.org/agenda/2017/01/google-sergey-brin-i-didn-t-see-ai-coming/

Exponential thinking

48

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3+2AI

Exponential thinking+

+ ICT+

: 5 (2016.1) http://www.meti.go.jp/committee/sankoushin/shin_sangyoukouzou/005_haifu.html 49

CSO


https://twitter.com/masahiro_ono/status/826885171995512832 50

CSO


19

8

(1945~)

Wikipedia, / 2016),

51

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52

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Not this But this

53

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ICT

:http://headlines.yahoo.co.jp/hl?a=20170210-00000001-kyt-l26http://www.newsweekjapan.jp/stories/world/2016/06/post-5365.php 54

CSO


55

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: http://japanese.joins.com/article/294/216294.htmlhttp://www.nikkei.com/article/DGXLZO11372310W7A100C1MM8000/https://obamawhitehouse.archives.gov/sites/default/files/whitehouse_files/microsites/ostp/NSTC/preparing_for_the_future_of_ai.pdf

2016AI

56

CSO


570

19821992

Human Brain Project Ph1 $10+B

19932004StrategicComputing Initiative

$1B 19831993

Decade of Brain19902000

Brain Initiative $3B 2013

AI Initiative20152020

Human Brain Project Ph220042013

$3B19842003

inspire

NIH Blueprint for Neuroscience Research 2005

: 2 (2015.10)http://www.meti.go.jp/committee/sankoushin/shin_sangyoukouzou/002_haifu.html 57

AI100 x 10

2016~15

1980s 90s 2000s 2010s 2020srecap

57019922001

CSO


1428

0

500

1000

1500

2000

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

2012

2013

2014

310

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

2012

2013

2014

41*

* 2.5(2013)2014117/$

58

recap

CSO


* Operating expense ($1=100 **benefit: financial report (enrollment)

712

837

2,096

2,141

2,729

2,960

3,309

Princeton

Harvard

Yale

MIT

Stanford

41%

42%

53%

50%

63%

49%

63%

**%: 2015

*/(100/: 2015

59

CSO


/*100/: 2015

* endowment: financial report (enrollment) ($1=100

60

58

138

448

262

296

529

Princeton

Harvard

Yale

MIT

Stanford

152

155

356

379

565

622

563

19

28

115

188

136

148

199

0

0

0

0

0

829

298

265

330

0

0

0

0

0

0

24

1159

831

1127

622

827

R&D *

Lincoln laboratory

SLAC

216

242

327

295

639

444

893

> 800> 400

60

CSO


endowment

: financial report (enrollment) ($1=100

671

403

513

289

340

1

n/a

When=1

endowment$ million : 2015

0

110

21,595

35,666

25,543

13,182

22,200

Princeton

Harvard

Yale

MIT

Stanford

n/a

endowment/: 2015

0

4 2,708

1,625

2,071

1,165

1,371

1

n/a

61

CSO


endowment

1. * (research university) 10

* 10Ph.D.++**stipend *** Harvard University financial report FY16, https://ces.commerce.yale.edu/givingtoyale/gifts.cgi

2. professional7%

3. 3.5%1/21/4**1/4

4. *** (education gift)

5. (matching gift)

62

CSO


() Federally Funded Research and Development Center (FFRDC)

$1759M

$785M

$346M

$956M

$448M(2015) (2014)(2015-20)(2016) (2016)

: financial report https://www.sei.cmu.edu/news/article.cfm?assetid=442332&article=209&year=2015, http://www.lbl.gov/about/, Wikipedia,

NASA

NASA

63

CSO


The Economist, 64

60/402/3

CSO


1. 2. 1

3

3. data professional

4. 3+2

ICT/5.

6. endowment

7. 65

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