public administration challenges in the age of ai and bots conference/2018... · 2018. 3. 12. · 5...
TRANSCRIPT
1
Public Administration Challenges in
the Age of AI and Bots
PK AgarwalDean and CEO
• Disruption and Wealth Creation
• Tech Trends Driving AI
• Public Administration Challenges
• Parting Thoughts
Agenda
2
3
Disruption and Wealth Creation
4
5
6
7
8
This Happens All The
Time
The Scriporium (5th century AD to 15th Century AD)
https://sites.dartmouth.edu/ancientbooks/2016/05/24/medieval-book-
production-and-monastic-life/
12
Xerox 2017 (40 years later)
13
Horse => Horsepower
Fordson 1917 (the iPad!)
https://www.theatlantic.com/business/archive/2012/03/how-the-tractor-
yes-the-tractor-explains-the-middle-class-crisis/254270/
It is 1908 All Over Again!!
17
19
• Horses = 26.5 million
• Humans = 100.5 million
I Come From 1918
20
21
22
23
24
The Year Is 1915
25
1 Million
Cars
26
27
• Horses = 26.5 million
• Humans = 100.5 million
• 1 million cars on December 10, 1915
• What career advice would you give to
this guy?
The Year Was 1918
28
• Horses = 1 million
• Humans = 320 million
• Testing driverless cars
• What career advice
would you give this guy?
The Year Is 2018
29
5M Jobs
30
5M Jobs
31
Most Common Job by State
Economic Impact of Autonomous Cars
32
http://www.web-strategist.com/blog
• Car Sales
• Auto Repair
• InsuranceReduced insurance premiums by 50%
You are no longer insuring the driver – then who?
• Health Care
• Roads, Bridges, etc
• Parking lots
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
37
• Machine Learning/AI
• Sensors – IoT
• Robotics
• Big Data
• Biotechnology , Genetics, Nanotechnology
• 3D Printing
• Blockchain
• Gig Economy (Uber, Ola, etc)
• eCommerce
Forces of Disruption
39
Wealth Creation
Wealth Creation
Major Technological Innovations
41
Wealth Creation
Market Value of
Tech Companies
Worldwide (est.) :
$15 - $20 Trillion
All the Gold
in the World:
$8.5 Trillion
222,000
Employees
4,200,000
Employees
44
Three Comma Club1 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
Wealth Creation = Middle Class Job Creation?
45
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
http://www.huffingtonpost.com/entry/pwc-five-global-shifts-reshaping-the-world_us_587a5c6ee4b077a19d180e1e
49
Tech Trends Driving AI
50
51
Goodbye Keyboard
(Almost there)
Natural Language Processing
52
53
Touch Screen
54
55
56
Our Computers will…..
57
58
Everything Smart
Everything Connected
Everything Digital
(aka Internet of Things)
1. Everything Smart- Everything Connected – Everything Digital
The Connected World
60
Smart Hair Brush!!
64
Big Data
Big Data•Analytics
• 360 view of the customer
•Intelligence
• Predictive
IoT – Opening the Data Floodgates
66
Big Data Expectations
Data Analytic Correlations (R)
68
http://blog.echonest.com/post/27047918145/musical-
taste-politics
Data Analytic Correlations (D)
69
http://blog.echonest.com/post/27047918145/musical-
taste-politics
70
71
Machine Learning/AI
72
Machine learning involves the creation of
algorithms that allow computers to learn from
example and past experience rather than reading
preprogrammed information.
Machine Learning
73
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.
Deep Learning
74
75
76
AI – Good or Evil?
77
78
79
80
81
82
83
• AV
• Robotics
• Language processing
• Health care
• Fraud detection
• Financial
• Marketing personalization
AI Use Cases
84
http://www.forbes.com/sites/bernardmarr/2016/09/30/what-are-the-top-10-use-cases-for-machine-learning-and-ai/#1c56ad1410cf
88
Public Administration Challenges
• Government Services
• Jobs and Economy
• Public Finances
• Consumer Protection (algorithm bias)
Public Administration Challenges
89
90
NextGen eServices
91
92
Jobs and Economy
93
Apple Harvesting
95
96
98
Compared to
Industrial Revolution?
99
10 x Speed
=
300 x Scale
3,000
Net Impact
Technology transforming society 3,000x
impact than the Industrial Revolution
100
SIZE OF U.S. ECONOMY
$18 trillion
$14 to 33 trillion
DISRUPTIVE IMPACT OF AI
Most in Demand Skills
101
http://www.pcmaconvene.org/career/development-career-development/what-job-skills-will-you-need-in-2020/
102
103
• 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
Jobs That Didn’t Exist 10 Years Ago
104
105
106
107
108
Public Finance
109
https://www2.deloitte.com/insights/us/en/focus/future-of-
mobility/transportation-technology.html
110
111
112
Consumer Protection
113
114
115
116
117
118
119
Elon Musk and Jack Ma
120
121
Parting Thoughts
Headline Lorem Ipsum
Body content.
122
123
124
We asked:
“AI – Good or Evil?”
125
The real question: “Will we be more
good or more evil?”
126
The End