Public Administration Challenges in the Age of AI and Bots PK Agarwal Dean and CEO pk.agarwal@northeastern.edu 1
Agenda Disruption and Wealth Creation Tech Trends Driving AI Public Administration Challenges Parting Thoughts 2
Disruption and Wealth Creation 3
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This Happens All The Time
The Scriporium (5 th century AD to 15 th Century AD) https://sites.dartmouth.edu/ancientbooks/2016/05/24/medieval-bookproduction-and-monastic-life/
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Xerox 2017 (40 years later) 13
Horse => Horsepower
Fordson 1917 (the ipad!)
https://www.theatlantic.com/business/archive/2012/03/how-the-tractoryes-the-tractor-explains-the-middle-class-crisis/254270/
It is 1908 All Over Again!! 17
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I Come From 1918 Horses = 26.5 million Humans = 100.5 million 20
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The Year Is 1915 1 Million Cars 25
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The Year Was 1918 Horses = 26.5 million Humans = 100.5 million 1 million cars on December 10, 1915 What career advice would you give to this guy? 28
The Year Is 2018 Horses = 1 million Humans = 320 million Testing driverless cars What career advice would you give this guy? 5M Jobs 29
5M Jobs 30
Most Common Job by State 31
Economic Impact of Autonomous Cars Car Sales Auto Repair Insurance http://www.web-strategist.com/blog Reduced insurance premiums by 50% You are no longer insuring the driver then who? Health Care Roads, Bridges, etc Parking lots 32
Our Answer to the Mr. T, the Time Traveler 33
Bowling Pinsetters
Occupations to produce a 78 rpm record Assembling adjuster Backer-up Matrix-bath attendant Matrix-groove roller Matrix number stamper Needle lacquerer Pick-up assembler Pick-up coil winder Record finisher Record press adjuster Record-press man Sapphire-stylus grinder Sieve gyrator. Phttp://www2.itif.org/2017-false-alarmism-technological-disruption.pdf
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Forces of Disruption Machine Learning/AI Sensors IoT Robotics Big Data Biotechnology, Genetics, Nanotechnology 3D Printing Blockchain Gig Economy (Uber, Ola, etc) ecommerce 39
Wealth Creation Wealth Creation
Major Technological Innovations 41
Market Value of Tech Companies Worldwide (est.) : $15 - $20 Trillion Wealth Creation All the Gold in the World: $8.5 Trillion
222,000 Employees 4,200,000 Employees
Three Comma Club 1 Jeff Bezos $112 Amazon 2 Bill Gates 90 Microsoft 3 Warren Buffett* 84 Berkshire Hathaway 4 Mark Zuckerberg 71 Facebook 5 Charles Koch* 60 Koch Industries 6 David Koch* 60 Koch Industries 7 Larry Ellison 58.5 Software 8 Michael Bloomberg 50 Bloomberg LP 9 Larry Page 48.8 Google 10 Sergey Brin 47.5 Google Adapted from Forbes Magazine 44
Wealth Creation = Middle Class Job Creation? 45
http://www.huffingtonpost.com/entry/pwc-five-global-shifts-reshaping-the-world_us_587a5c6ee4b077a19d180e1e 46
http://www.huffingtonpost.com/entry/pwc-five-global-shifts-reshaping-the-world_us_587a5c6ee4b077a19d180e1e 47
http://www.huffingtonpost.com/entry/pwc-five-global-shifts-reshaping-the-world_us_587a5c6ee4b077a19d180e1e 48
Tech Trends Driving AI 49
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Goodbye Keyboard (Almost there) 51
Natural Language Processing 52
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Touch Screen 54
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Our Computers will.. 57
Everything Smart Everything Connected Everything Digital (aka Internet of Things) 58
1. Everything Smart- Everything Connected Everything Digital
The Connected World 60
Smart Hair Brush!!
Big Data 64
Big Data Analytics 360 view of the customer Intelligence Predictive
IoT Opening the Data Floodgates 66
Big Data Expectations
Data Analytic Correlations (R) http://blog.echonest.com/post/27047918145/musicaltaste-politics 68
Data Analytic Correlations (D) http://blog.echonest.com/post/27047918145/musicaltaste-politics 69
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Machine Learning/AI 71
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Machine Learning Machine learning involves the creation of algorithms that allow computers to learn from example and past experience rather than reading preprogrammed information. 73
Deep Learning Deep Learning imitates the workings of the human brain in processing data and creating patterns for use in decision making. Deep learning is a subset of machine learning that has networks which are capable of learning unsupervised from data that is unstructured or unlabeled. 74
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AI Good or Evil? 76
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AV Robotics Language processing Health care Fraud detection Financial Marketing personalization AI Use Cases http://www.forbes.com/sites/bernardmarr/2016/09/30/what-are-the-top-10-use-cases-for-machine-learning-and-ai/#1c56ad1410cf 84
Public Administration Challenges 88
Public Administration Challenges Government Services Jobs and Economy Public Finances Consumer Protection (algorithm bias) 89
NextGen eservices 90
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Jobs and Economy 92
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Apple Harvesting
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http://www.bbc.com/news/technology-34066941 97
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Compared to Industrial Revolution? 10 x Speed 300 x Scale = 3,000 Net Impact 99
Technology transforming society 3,000x impact than the Industrial Revolution SIZE OF U.S. ECONOMY $18 trillion DISRUPTIVE IMPACT OF AI $14 to 33 trillion 100
Most in Demand Skills http://www.pcmaconvene.org/career/development-career-development/what-job-skills-will-you-need-in-2020/ 101
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Jobs That Didn t Exist 10 Years Ago App Developers Social Media Manager/Digital Marketing Cloud Computing Services UX Design Sustainability Expert Data Miners/Big Data Analysts Advanced Manufacturing Specialist Education/Admissions Consultants Genetic Counselor Drone Operator 104
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Public Finance 108
https://www2.deloitte.com/insights/us/en/focus/future-ofmobility/transportation-technology.html 109
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Consumer Protection 112
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Elon Musk and Jack Ma 120
Parting Thoughts 121
Headline Lorem Ipsum Body content. 122
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We asked: AI Good or Evil? 124
The real question: Will we be more good or more evil? 125
The End 126