This document discusses opportunities for governments to utilize cognitive business robotics and AI technologies. It suggests that governments build a strategic framework focused on data and improving citizen services. Automating administrative processes using AI and robotics could save governments significant time and money based on estimates from the US. The document proposes that governments work with AI solution providers to configure "country wide coworkers" to automate processes while keeping data and safety controls within their own country.
1. Cognitive Business Robotics (CBR)
Country wide AI solutions with Cognitive Coworker
“Putin says the nation that leads in AI ‘will be the ruler of the world”
ai4bd.com
Eren Kangeldi
AI4BD Switzerland
2. Big Data in the Web
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❑ Social Media
❑ Web of Things, IoT, Mobile
❑ There is a Revolution in the INTERNET
started 20 years ago
❑ Where is the Government with its
Intranet, covering governing the
Technology Revolution
❑ European Digitalization Report 2018 of
citizens/consumer needs
❑ 72% belief AI will help
❑ 45% belief Robotics will help
❑ How can the Government help?
1. Build solid strategic framework
2. Model Processes for better Citizen
services
3. Put humans at the center.
4. Focus on data. AI is built on data,
5. Consider to proof your concept
Governmental AI and Big Data
● Across public sector organizations
● Safer homeland
● Improved citizens service in
different Areas, Health Care…
● for social benefit
● For education
● Better value for money
● For policy decisions and legislative
guidance
● For happy citizens
● Trust remains a key factor
3. Why should the
government help
Deloitte estimates, automation
could save 96.7 million federal
hours annually, with a potential
savings of $3.3 billion. At the high
end, those figures jump to 1.2
billion hours and a potential
annual savings of $41.1 billion
with AI systems — rules-based
systems, machine translation,
computer vision, machine
learning, robotics and natural
language processing —
US based figures.
What might be your savings ?
3
❑ Industry automated its processes the last
40 years
❑ This automation brought wealth, safety,
national competitive advantage
❑ See Switzerland and Germany as
leading automated countries
❑ The administrational work is not yet
automated in industry, neither in
governmental processes.
❑ How can you utilize the human
knowledge and defined rules in your
daily business.
❑ How to converge Industrial needs,
governmental administrative
processes on a solid Framework for
your own country wide solution ?
4. How can we help you?
Leading GE/CH Business Robotics Solution
Configuring Country wide Coworkers
You own your solutions and keep Data and
Safety in your own country
Financing models for governmental Projects
through institutional Investors of AI4BD
• Listen to your City as well
• Awarded smart city example
4
5. This project has received funding from the European Union’s
Horizon 2020 research and innovation programme
Making transport smarter,
leveraging the human factor
Semih Yumusak
AI4BD Turkey
PPP Week 2018
Innovative mobility solutions for smart municipalities
8. For data collection and integration
We deliver tools to:
● Collect data from engaged citizens
(i-Log app)
● Integrate data into a data lake from
disparate sources
● Data collection from crowd-workers
9. Example of crowdsourcing for
Data generation, acquisition, and sharing
● Streetview experiment
What Who Why How
Information finding Crowd-workers Economic Collection
10. QROWD: Value adding mobility data integration
• Insights for city
managers
• Guidance for
drivers
• Advice for tourists
• Information for
the citizen
11. DOCUMENT TITLE
Overall benefits from QROWD solutions
✓ Enhanced visibility and transparency of city innovation initiatives
✓ Improved citizens´ sense of “ownership” of city innovation
✓ City managers progress from problem solving to planned improvements
✓ Better informed urban policy decision making
✓ Catalyser for private sector to share mobility-related data
✓ Improved city government ROI on urban modernisation
✓ Contribution to trust build-up among local stakeholders
12. DOCUMENT TITLE
Mobility-specific benefits
✓Improve traffic prediction, management and safety
✓Reduce congestion, better spreading of traffic
✓Reduce pollution
✓Reduce stress for drivers
✓Drivers better informed on free parking slots, bike sharing, etc.
✓Tourists better advised= improved local holiday experience
14. PPP for Smart Cities: Critical Success Factors
Dimension Critical issues
Governance • Long term vs short term (careful, dealing with short term by design politicians)
• Transparency as a management value, Few stakeholders vs. whole city
• The speed and randomness of Digital Transformation (Expect the unexpected)
• PPP as core element of the SC governance model
Context • PPP schemes design and standardisation at national or regional level
• The role of champions/pilots and followers is part of the strategy
Performance
control
• Transparency in monitoring and supervision
• How to measure ROI from PPP for all parties involved
Partners • Not just domain experts: team players, long term vision + short term flexibility
• Not just a financial suppliers: city team player (commitment)
• Clear vision on economies of scale for multi-city operations (scaling-up for suppliers)
• Allocate the right incentives (to minimize deviations to the “bad” ones)
Innovations • SC should have their own critical mass of innovators, to push and support external partners
• Multidimensional nature of SC fosters synergies (which must be fostered by governance)
Social Impact • SC PPP is not just a financial mechanism: Social ROI for city owners/all stakeholder groups must be tangible to
overcome political short term cycle constraints
• Transparency is a must, otherwise PPP becomes a dead body