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U B E R I Z I N G G OV E R N M E N T
@ D U ST I N H A I S L E R
U B E R I Z I N G
V E R B - TO S U B J E C T ( A N I N D U ST RY ) TO A
B U S I N E S S M O D E L I N W H I C H S E RV I C E S A R E
O F F E R E D O N D E M A N D T H RO U G H D I R E C T
CO N TAC T B E T W E E N A C U STO M E R A N D A
S U P P L I E R .
U B E R I Z I N G T H E WO R K O F G OV E R N M E N T
T H E T E C H O F G OV E R N M E N T
T H E E X P E R I E N C E O F G OV E R N M E N T
T H E E X P E R I E N C E O F G OV E R N M E N T
2018
Local Government
CIO Priorities
OVERALL
USER
EXPERIENCE
EXPERIENCE LAYER (CHANNELS)
APPLICATION/SERVICE LAYER
INFRASTRUCTURE / DATA LAYER
USERS/BUSINESSES/EMPLOYEES
Experience: Government-Hosted
Channel: Government-Owned
The Future Government Experience
Uberizing the public
transportation experience.
Experience: Government-Hosted
Channel: Government-Owned
Experience: Government-Hosted
Channel: Third-Party Owned
The Future Government Experience
Link: http://www.govtech.com/map/?t=artificial+intelligence
Experience: Government-Hosted
Channel: Government-Owned
Experience: Government-Hosted
Channel: Third-Party Owned
Experience: Third-Party Hosted
Channel: Third-Party Owned
The Future Government Experience
In the future, government agencies
must be able to support all three use-
cases simultaneously.
G OV E R N M E N T
E X P E R I E N C E
G OV E R N M E N T I N F R A ST RU C T U R E DATA L AY E R
G OV E R N M E N T A P P L I C AT I O N S
G OV E R N M E N T S E RV I C E A P I S
T H I R D - PA RT Y
E X P E R I E N C E
G OV E R N M E N T
E X P E R I E N C E
O F F L I N EO F F L I N E
T H E WO R K O F G OV E R N M E N T
2018
Local Government
CIO Priorities
Existing roles and new hiring strategies are
having a hard time keeping pace.
O N - D E M A N D W O R K E R S S O F T WA R E - D E F I N E D WO R K E R S
This Requires Looking At New Models of Government Work On-Demand
O N - D E M A N D WO R K E R S
The fastest growing segment of work
are task-based, on-demand roles.
Source: Kleiner Perkins 2018 - Mary Meeker Internet Trends Report
Source:KleinerPerkins2018-MaryMeekerInternetTrendsReport
And there are now employment marketplace places to support them.
Estimated by that over 50% of the
American workforce will be freelancing to
some capacity by 2020.
Source: Intuit
And it’s starting to change how the
regulatory environment approaches work.
S O F T WA R E - D E F I N E D WO R K E R S
Software-defined roles are job functions that are staffed by artificial
intelligence or other automation technologies.
Class 0: Standard, Non-Automated Employees
Example Software-defined Roles
Class 1: Robot Process Automation
Example: Automated IT Tasks
Example Software-defined Roles
Source: Process Street
Class 1:
Robotic Process
Automation (RPA)
Class 1: Robot Process Automation
Example: Automated IT Tasks
Class 2: Cognitive Automation
Example: Chatbots, NLP
Example Software-defined Roles
C RO S S -
P L AT FO R M
C H AT B OTS
Class 1: Robot Process Automation
Example: Automated IT Tasks
Class 2: Cognitive Automation
Example: Chatbots, NLP
Class 3: Reasoning/Learning
Cognitive Automation
Example: Watson
Example Software-defined Roles
83%
31%
4%
M O ST L I K E LY TO B E S O F T WA R E - D E F I N E D
L E A ST L I K E LY TO B E S O F T WA R E - D E F I N E D
Just remember, automated roles that interface with
government will be inside and outside of government..
https://www.youtube.com/watch?v=bd1mEm2Fy08
T H E T E C H O F G OV E R N M E N T
On-demand tech infrastructure is not
just about cloud…
Local
government
agencies and
the cloud.
nor is it just about data…
New tech on-demand models and
capabilities continue to emerge…
Cloud Service Broker (CSB)
A N D N O W C A N N O W ACC E S S A I & DATA-S C I E N C E
C A PA B I L I T I E S O N D E M A N D
it’s ultimately about orchestration.
G OV E R N M E N T
E X P E R I E N C E
G OV E R N M E N T I N F R A ST RU C T U R E DATA L AY E R
G OV E R N M E N T A P P L I C AT I O N S
G OV E R N M E N T S E RV I C E A P I S
T H I R D - PA RT Y
E X P E R I E N C E
G OV E R N M E N T
E X P E R I E N C E
O F F L I N EO F F L I N E
G OV E R N M E N T
E X P E R I E N C E
G OV E R N M E N T I N F R A ST RU C T U R E DATA L AY E R
G OV E R N M E N T A P P L I C AT I O N S
G OV E R N M E N T S E RV I C E A P I S
T H I R D - PA RT Y
E X P E R I E N C E
G OV E R N M E N T
E X P E R I E N C E
O F F L I N EO F F L I N E
Experience: Government-Hosted
Channel: Government-Owned
Experience: Government-Hosted
Channel: Third-Party Owned
Experience: Third-Party Hosted
Channel: Third-Party Owned
The Future Government Experience
Class 1: Robot Process Automation
Example: Automated IT Tasks
Class 2: Cognitive Automation
Example: Chatbots, NLP
Class 3: Reasoning/Learning
Cognitive Automation
Example: Watson
Class 0: Standard Employees
U B E R I Z E D G OV E R N M E N T I N AC T I O N
STA N DA R D T R A F F I C C A M E R A
STA N DA R D T R A F F I C C A M E R A
CO U N T V E H I C L E S / T Y P E S
STA N DA R D T R A F F I C C A M E R A
C A LC U L AT E S P E E D
STA N DA R D T R A F F I C C A M E R A
A N A LYS I S W E AT H E R PAT T E R N S
STA N DA R D T R A F F I C C A M E R A
A N A LY Z E W E A R F RO M
ACC I D E N TS
STA N DA R D T R A F F I C C A M E R A
A N T I C I PAT E A N D S C H E D U L E
M A I N T E N A N C E O N P OT E N T I A L ROA D
FA I LU R E S ( P OT H O L E S ) B E FO R E
T H EY H A P P E N
S H OTS P OT T E R G U N S H OT
D E T E C T E D
AU TO N O M O U S D R O N E + S Q UA D
C A R RO U T E D BY C A D SYST E M
D RO N E V I D E O S U RV E I L L A N C E
I N I T I AT E D
D RO N E V I D E O S U RV E I L L A N C E
I N I T I AT E D
I N - RO U T E
O F F I C E R
CO M M A N D
C E N T E R
D RO N E V I D E O S U RV E I L L A N C E
I N I T I AT E D
I N - RO U T E
O F F I C E R
CO M M A N D
C E N T E R
R E A L-T I M E V I D E O
A L L I N L E SS T H A N 5 M I N U T E S
So where do you start?
W H AT ’S N E E D E D
1. Training on Technology Trends & Futures
2. Public-Private-Sector Partnership & Collaboration
3. Frameworks (& Experiments) for Roles and Tech Co-Existing
4. Consortiums to Share Industry Standards & Knowledge
5. Educating and Conditioning Executives & Governing Boards
Open Discussion
Dustin Haisler | Chief Innovation Officer
dhaisler@erepublic.com
Uberizing Government

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Uberizing Government

  • 1.
  • 2. U B E R I Z I N G G OV E R N M E N T @ D U ST I N H A I S L E R
  • 3.
  • 4. U B E R I Z I N G V E R B - TO S U B J E C T ( A N I N D U ST RY ) TO A B U S I N E S S M O D E L I N W H I C H S E RV I C E S A R E O F F E R E D O N D E M A N D T H RO U G H D I R E C T CO N TAC T B E T W E E N A C U STO M E R A N D A S U P P L I E R .
  • 5. U B E R I Z I N G T H E WO R K O F G OV E R N M E N T T H E T E C H O F G OV E R N M E N T T H E E X P E R I E N C E O F G OV E R N M E N T
  • 6. T H E E X P E R I E N C E O F G OV E R N M E N T
  • 8. OVERALL USER EXPERIENCE EXPERIENCE LAYER (CHANNELS) APPLICATION/SERVICE LAYER INFRASTRUCTURE / DATA LAYER USERS/BUSINESSES/EMPLOYEES
  • 10.
  • 12. Experience: Government-Hosted Channel: Government-Owned Experience: Government-Hosted Channel: Third-Party Owned The Future Government Experience
  • 13.
  • 15. Experience: Government-Hosted Channel: Government-Owned Experience: Government-Hosted Channel: Third-Party Owned Experience: Third-Party Hosted Channel: Third-Party Owned The Future Government Experience
  • 16.
  • 17.
  • 18. In the future, government agencies must be able to support all three use- cases simultaneously.
  • 19. G OV E R N M E N T E X P E R I E N C E G OV E R N M E N T I N F R A ST RU C T U R E DATA L AY E R G OV E R N M E N T A P P L I C AT I O N S G OV E R N M E N T S E RV I C E A P I S T H I R D - PA RT Y E X P E R I E N C E G OV E R N M E N T E X P E R I E N C E O F F L I N EO F F L I N E
  • 20.
  • 21. T H E WO R K O F G OV E R N M E N T
  • 23. Existing roles and new hiring strategies are having a hard time keeping pace.
  • 24. O N - D E M A N D W O R K E R S S O F T WA R E - D E F I N E D WO R K E R S This Requires Looking At New Models of Government Work On-Demand
  • 25. O N - D E M A N D WO R K E R S
  • 26. The fastest growing segment of work are task-based, on-demand roles.
  • 27. Source: Kleiner Perkins 2018 - Mary Meeker Internet Trends Report
  • 29.
  • 30.
  • 31. And there are now employment marketplace places to support them.
  • 32.
  • 33. Estimated by that over 50% of the American workforce will be freelancing to some capacity by 2020. Source: Intuit
  • 34. And it’s starting to change how the regulatory environment approaches work.
  • 35. S O F T WA R E - D E F I N E D WO R K E R S
  • 36. Software-defined roles are job functions that are staffed by artificial intelligence or other automation technologies.
  • 37. Class 0: Standard, Non-Automated Employees Example Software-defined Roles
  • 38. Class 1: Robot Process Automation Example: Automated IT Tasks Example Software-defined Roles
  • 39. Source: Process Street Class 1: Robotic Process Automation (RPA)
  • 40. Class 1: Robot Process Automation Example: Automated IT Tasks Class 2: Cognitive Automation Example: Chatbots, NLP Example Software-defined Roles
  • 41. C RO S S - P L AT FO R M C H AT B OTS
  • 42.
  • 43. Class 1: Robot Process Automation Example: Automated IT Tasks Class 2: Cognitive Automation Example: Chatbots, NLP Class 3: Reasoning/Learning Cognitive Automation Example: Watson Example Software-defined Roles
  • 45. M O ST L I K E LY TO B E S O F T WA R E - D E F I N E D
  • 46. L E A ST L I K E LY TO B E S O F T WA R E - D E F I N E D
  • 47. Just remember, automated roles that interface with government will be inside and outside of government..
  • 49. T H E T E C H O F G OV E R N M E N T
  • 50. On-demand tech infrastructure is not just about cloud…
  • 52.
  • 53. nor is it just about data…
  • 54.
  • 55. New tech on-demand models and capabilities continue to emerge…
  • 57. A N D N O W C A N N O W ACC E S S A I & DATA-S C I E N C E C A PA B I L I T I E S O N D E M A N D
  • 58. it’s ultimately about orchestration.
  • 59. G OV E R N M E N T E X P E R I E N C E G OV E R N M E N T I N F R A ST RU C T U R E DATA L AY E R G OV E R N M E N T A P P L I C AT I O N S G OV E R N M E N T S E RV I C E A P I S T H I R D - PA RT Y E X P E R I E N C E G OV E R N M E N T E X P E R I E N C E O F F L I N EO F F L I N E
  • 60. G OV E R N M E N T E X P E R I E N C E G OV E R N M E N T I N F R A ST RU C T U R E DATA L AY E R G OV E R N M E N T A P P L I C AT I O N S G OV E R N M E N T S E RV I C E A P I S T H I R D - PA RT Y E X P E R I E N C E G OV E R N M E N T E X P E R I E N C E O F F L I N EO F F L I N E
  • 61. Experience: Government-Hosted Channel: Government-Owned Experience: Government-Hosted Channel: Third-Party Owned Experience: Third-Party Hosted Channel: Third-Party Owned The Future Government Experience Class 1: Robot Process Automation Example: Automated IT Tasks Class 2: Cognitive Automation Example: Chatbots, NLP Class 3: Reasoning/Learning Cognitive Automation Example: Watson Class 0: Standard Employees
  • 62. U B E R I Z E D G OV E R N M E N T I N AC T I O N
  • 63. STA N DA R D T R A F F I C C A M E R A
  • 64. STA N DA R D T R A F F I C C A M E R A CO U N T V E H I C L E S / T Y P E S
  • 65. STA N DA R D T R A F F I C C A M E R A C A LC U L AT E S P E E D
  • 66. STA N DA R D T R A F F I C C A M E R A A N A LYS I S W E AT H E R PAT T E R N S
  • 67. STA N DA R D T R A F F I C C A M E R A A N A LY Z E W E A R F RO M ACC I D E N TS
  • 68. STA N DA R D T R A F F I C C A M E R A A N T I C I PAT E A N D S C H E D U L E M A I N T E N A N C E O N P OT E N T I A L ROA D FA I LU R E S ( P OT H O L E S ) B E FO R E T H EY H A P P E N
  • 69.
  • 70.
  • 71. S H OTS P OT T E R G U N S H OT D E T E C T E D
  • 72. AU TO N O M O U S D R O N E + S Q UA D C A R RO U T E D BY C A D SYST E M
  • 73. D RO N E V I D E O S U RV E I L L A N C E I N I T I AT E D
  • 74. D RO N E V I D E O S U RV E I L L A N C E I N I T I AT E D I N - RO U T E O F F I C E R CO M M A N D C E N T E R
  • 75. D RO N E V I D E O S U RV E I L L A N C E I N I T I AT E D I N - RO U T E O F F I C E R CO M M A N D C E N T E R R E A L-T I M E V I D E O A L L I N L E SS T H A N 5 M I N U T E S
  • 76.
  • 77. So where do you start?
  • 78. W H AT ’S N E E D E D 1. Training on Technology Trends & Futures 2. Public-Private-Sector Partnership & Collaboration 3. Frameworks (& Experiments) for Roles and Tech Co-Existing 4. Consortiums to Share Industry Standards & Knowledge 5. Educating and Conditioning Executives & Governing Boards
  • 79. Open Discussion Dustin Haisler | Chief Innovation Officer dhaisler@erepublic.com