This presentation was given at the RIT - Dubai workshop about applications of Artificial Intelligence at the public and private sectors. Highlights the UAE AI strategy and what has been done to activate it. Also presents some use cases for AI from the UAE public sector.
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How AI is Transforming Government Services in the UAE
1. How AI is Transforming
Government Services in
The UAE
Dr. Saeed K. Aldhaheri
Chairman of the board, Smartworld
@DDSaeed
AI Applications and Future Prospect in UAE Public Sectors and Industry, A workshop at RIT – Dubai, 26th February 2018
2. Agenda
• AI and automation and the future of Jobs
• What UAE has done to execute its AI strategy
• How UAE is Reinventing government services using AI
• What are the challenges facing government and how
to overcome them
3. My Interest in AI and disruptive technologies
Audit in the age of AI
4. AI is a key driver for the 4IR
AI automation is projected to increase global
productivity rates by 0.8-1.4% annually over
the next 50 years. McKinsey Global Institute
5. AI impact on the global economy
• The Middle East is expected to accrue 2%
($320 billion) of the total global benefits
of AI in 2030.
• In relative terms the UAE is expected to
see the largest impact of close to 14%
($96 billion) of 2030 GDP.
• 33% annual growth rate AI in the UAE
AI will be able to double economic growth
for 12 of developing economies by 2035 and
will help increase productivity by 40%.
Accenture
6. What is Artificial Intelligence (AI)
Source: David Kelner, The fourth industrial revolution: a primer on Artificial Intelligence (AI)
AI: developing computer systems that exhibit intelligent
Behavior, similar to human being
Machine Learning: teaching computers to learn without
explicit Programming
• algorithms: decision tree learning, Bayesian networks, clustering,
reinforcement learning
• Relative success for some tasks
Deep Learning: a technique for implementing ML
• Learning data representation
• Approximate the function of neurons in the brain
• uses several layers of artificial neural networks
• Fast computing (e.g, GPUs) made the “big bang”
• Applied to speech recognition, computer vision, natural lang
processing, machine translation,,,etc
AI echo system
7. Why AI & Why Now?
• Solving complex problems difficult for traditional computing methods
• Pattern recognition and image classifications
• complex predictions
• Translation between languages
• general intelligence
• Why now?
• Increase in computing power and the effect of the cloud
• BiG Data
• enhanced algorithms (ML, DL,,etc)
8. AI & Robotics in Automation
More than 80,000 robots
Worldwide handling millions
of orders each day
9. Future of Jobs and The skills needed in the Future
• Polarized views: opportunities for new
job categories vs. massive labor
substitution and displacement of jobs
• 65% of children entering primary
school today will end up working in
new jobs that do not yet exists.
• New jobs: data scientists
• Domain experts becoming data
scientist
In 2020, AI will become a positive
net job motivator, creating 2.3
million jobs, while eliminating only
1.8 million jobs.
Gartner prediction 2018
10. New AI-Driven jobs
• Trainers: teach AI system how to perform
• Explainers: help provide clarity
• Sustainers: help ensure that AI systems are operating as
designed.
MIT Sloan special collection report
11. UAE AI Strategy
Vision: To boost government performance, the
rate of accomplishing achievements.
KPIs for 2031
• 30% boost of UAE GDP
• 50% saving on annual cost to government
• 90% resistance of financial crises
• 100% use of AI in services and gov data analytics
What does this implies to people! Opportunities and challenges!
12. Activating the AI Strategy: Achievements to
date
• Still in early stage, but noticeable efforts
• Creating awareness phase
• AI strategic plan, or road map rolled out by some entities
• Early use cases for AI-enables services are encouraging
• Partnerships
• HCT and Oracle: training students
• RIT - Dubai and Smart Dubai Office: Master program in Data
science
• University of Dubai and DESC: Cybersecurity research
• International level: the global AI governance Forum
• Still a lot need to be done
• AI road map for the future
• Working to incorporate AI in school curricula
• Preparing people for change
• Laws and regulation
14. Challenges facing Government to adopt AI
• Diffused and unclear leadership
• No clear picture of how AI can add value
• Shortage of Expertise
• Fears from AI to replace humans
• Technical challenges (e.g, data
management infrastructure)