MIS 0855 Fall 2016 Data Science

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MIS 0855 Fall 2016 Data Science Week 13 Data Science and Your Career Min-Seok Pang Management Information Systems Fox School of Business, Temple University minspang@temple.edu Dec. 1 st, 2016

2 Women Mathematicians at World War II who were called Computers. http://www.theatlantic.com/technology/archive/2013/10/computing-power-used-to-be-measured-in-kilo-girls/280633/

3 Today s Question How to survive in the job market and thrive in your career by winning the battle against the machine? http://www.kansasbob.com/2011/02/man-vs-machine.html

4 A Good but Not-So-Good News Jobless Recovery

5 http://online.wsj.com/article/sb10001424052970204468004577164710231081398.html

6 What does this mean and Why? http://online.wsj.com/article/sb10001424052970204468004577164710231081398.html

7 Why Jobless Recovery? Automation(1/2) http://www.washingtonpost.com/blogs/dr-gridlock/wp/2012/10/31/beltway-express-lanes-to-open-before-thanksgiving-operators-say/ http://stormhighway.com/blog/july2109a.shtml http://www.wtae.com/news/pennsylvania-turnpike-to-test-ez-pass-cashless-interchange-at-beaver-valley/35527534

8 Why Jobless Recovery? Automation (2/2) What if every item in a grocery store has an EZPass (an RFID chip)? http://www.flickr.com/photos/whole_foods/4495467654/ http://earthpulse.nationalgeographic.com/earthpulse/focus-us-text

9 Why Jobless Recovery? Outsourcing http://www.businessweek.com/magazine/content/10_38/b4195058423479.htm http://images.businessweek.com/ss/10/09/0909_foxconn/2.htm

Why Jobless Recovery? Skill Mismatch (1/3) MIS 0855 Fall 2016 Week 13 Your Career 10 After Recession Before 2007-08 Recession http://www.bls.gov/web/jolts/jlt_labstatgraphs.pdf

11 Why Jobless Recovery? Skill Mismatch (2/3) https://tcfdotorg.atavist.com/where-are-the-jobsnbsjq

12 Why Jobless Recovery? Skill Mismatch (3/3) http://www.foreignpolicy.com/articles/2012/03/16/help_wanted?page=full

13 Race Against the Machine http://www.cartoonstock.com/directory/o/outsourcing.asp

14 Wall Street Bankers vs. the Machines http://www.businessweek.com/articles/2012-11-15/computers-elbow-swaps-traders-aside

15 Accountants vs. the Machines

16 Journalists vs. the Machines http://www.dailydot.com/technology/robot-journalism-automated-insights-algorithm/

17 Lawyers vs. the Machines http://www.nytimes.com/2010/08/05/business/global/05legal.html?_r=0 http://www.legallyindia.com/201111252419/analysis/

18 Pilots vs. the Machines Where did he go? http://www.airfield-ghent.be/documents1/index.html http://www.ainonline.com/aviation-news/ain-air-transport-perspective/2010-09-10/ryanairs-oleary-calls-single-pilot-commercial-flights

19 Drivers vs. the Machines http://bits.blogs.nytimes.com/2014/05/13/a-trip-in-a-self-driving-car-now-seems-routine/ http://wot.motortrend.com/1505_google_self_driving_cars_begin_tests_on_city_roads_this_summer.html

20 Subway Conductors vs. the Machines A new 10.7 mile subway line with no conductor http://dragonphoto.tistory.com/535 http://m.blog.daum.net/el-tor/8446015

21 Restaurant Servers vs. the Machines http://sf.eater.com/2015/9/2/9252149/eatsa-the-early-word-san-francisco

22 3D Printer vs. who? Whose job is in danger if every household has one of these? http://www.itechdiary.com/desktop-factory-125ci-3d-printer-3d-printer-is-a-small-and-cheap.html http://www.dezeen.com/2013/05/03/scientists-3d-print-bionic-ear-hears-beyond-human-range/

23 How long do you want to live? How long do you think you ll live? Then, when do you have to retire if you want to live up to 100 years? What kind of technology breakthroughs will take place for the next 50 years? http://physics.illinois.edu/history/timelines/1960s.asp

24 Let s face it. Automation and outsourcing are irreversible trends. No occupation is immune to this trend. New technologies will continue to emerge for our lifetime and fundamentally transform the society and the job market (probably faster and faster). http://www.bizbash.com/will_these_tech_advances_change_the_future_of_events/new-york/story/25226/

25 Let s discuss. Which kind of occupation will be neither replaced by the machines nor outsourced for the next 30 years? http://www.clotureclub.com/jobs/

26 In order not to be replaced, what kind of skills do we need that the machines don t have? Creative, innovative, analytic thinking Problem solving skills for complex, unstructured, open ended, non routine problems Face to face, human touch, communication skills (e.g. negotiation, persuasion, writing) Entrepreneurship and leadership anything else? http://www.kansasbob.com/2011/02/man-vs-machine.html

27 Google DeepMind Beats Go Champion! http://nerdist.com/google-deepmind-beats-legend-lee-sedol-in-game-one-of-five-game-go-series/

28 Google DeepDream Draws Arts! https://news.artnet.com/market/google-inceptionism-art-sells-big-439352

29 We are NOT doomed. Advances in technologies are creating new opportunities and increasing demands for different skills. Techs destroy some jobs but create new ones too, with the skills in the previous page. Tech developments have historically increased the size of the economies for the last several centuries. If you can survive in the waves of new technologies, you ll be more thriving than ever before. http://en.wikipedia.org/wiki/survivor_(u.s._tv_series)

30 How to survive? Be Ambidextrous You ll need to develop multiple skills and abilities to survive. Having one major may not be enough. Double major or graduate degree in a distant field so that, when you lose a job, you can jump into another occupation right away.

31 To make money, go to a graduate school! Changes in Wages for Full-Time Male U.S. Workers http://opportunityproject.ets.org/choosing-our-future

32

33 http://www.forbes.com/sites/georgeanders/2015/07/29/liberal-arts-degree-tech/

34 How to survive? Continue to Learn Some of the things you are learning here will probably be obsolete in the next couple of decades. New knowledge keeps produced in an increasingly faster rate. Will need to know not only how to use certain software tools (Excel, Tableau), but also how to learn new technology that is not invented yet. Will need to be flexible and to transform yourself anytime with new knowledge and skills Always be vigilant over and aware of technology trends and take advantage of them

35 https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century/ http://www.wsj.com/articles/sb10001424052702304819004579489541746990638

36 How to survive? Be data-smart! Whatever occupation you ll have, you ll need a skill to find right data sources to analyze a large amount of data, and to get valuable insights and knowledge from data for critical thinking, creative abilities, analytic skills for an ability to solve open ended, unstructured, non routine problems. http://www.mycustomer.com/feature/data/getting-smart-how-create-data-strategy-develop-actionable-insights/166504

37 The illiterate of the 21st century will not be those who cannot read and write, but those who cannot learn, unlearn and relearn. Alvin Toffler http://horageek.blogspot.com/2012/11/alvin-toffler-habla-sobre-el-prosumo.html#.ul_viyozkso

38 Connect with me at LinkedIn! http://www.linkedin.com/in/minspang