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Artifical intelligence and the future of gcc governments

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This talk was presented during the 24th GCC smart government and smart cities conference in Dubai on 22nd April 2018. It discusses the impact of AI on the GCC economy, providing use cases for AI from the UAE government and what the GCC countries need to do to benefit from AI.

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Artifical intelligence and the future of gcc governments

  1. 1. Artificial Intelligence and the Future of GCC Governments Dr. Saeed Aldhaheri Chairman of the board, Smartworld @DDSaeed
  2. 2. Agenda • AI as a key driver for the 4th industrial revolution • AI impact on the GCC Economy • AI activities in the GCC • What is AI and why now? • AI and robotics in automation • Future of Jobs and the skills needed in the GCC • Reinventing government services using AI: UAE examples • Challenges facing GCC Governments • Recommendations
  3. 3. My Interest in AI and disruptive technologies Audit in the age of AI
  4. 4. AI is a key driver for the 4IR AI is key to building a sustainable future that will benefit communities and support economic and social development efforts. Omar Al Olama, UAE Minister of AI
  5. 5. AI impact on the GCC Economy Source: PwC Global Artificial Intelligence Study • The ME is expected to achieve 2% ($320 billion) of the total global benefits of AI in 2030. • 33% annual growth rate of AI in the UAE • 31% annual growth rate of AI in SA • 28% annual growth rate in GCC4 • spending on cognitive and AI systems MEA region will grow from $37.5 million in 2017 to over $100 million by 2021. IDC AI will be able to double economic growth for 12 of developing economies by 2035 and will help increase productivity by 40%. Accenture
  6. 6. AI activities in the GCC are growing
  7. 7. 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
  8. 8. 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)
  9. 9. Types of AI • Strong AI (superintelligence): • Self-aware machines with thoughts, feelings, consciousness,,,etc • Does not exist today and far away • Narrow AI: • Focused on solving specific challenges • Optimizers for specific tasks • E.g, facial recognition, recommendation engines, Chatbots, predictive analytics
  10. 10. AI & Robotics in Automation More than 80,000 robots Worldwide handling millions of orders each day
  11. 11. Building a successful AI application • Talent • Data • Infrastructure Source: CBINSIGHTS: This is why all companies need an AI Strategy today
  12. 12. Future of Jobs and The skills needed in the GCC • Opportunities for new job categories vs. massive labor substitution • About 45% of jobs in the ME were technically automatable today. McKinesy & Company • AI will offer 10m new job opportunities, and automation is expected to eliminate 74% of current jobs available today • Compared to 2015, 21% of core skills required across all occupations will be totally different by 2020 in the GCC.
  13. 13. New AI-Driven jobs • Data Scientists : domain expert • 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
  14. 14. CIOs Need to Establish AI Strategies • Develop clear line of sight to business value • Priorities for AI automation with a focus on customer experience • What AI technologies and infrastructure needed • Training and talent • Data –driven culture and data science skills • New metrics to measure ROI • e,g. how AI is freeing human from mundane tasks • How AI is improving human decision making and forecast • Cloud ML platforms • AWS machine learning • Google Cloud ML • AI Cloud services • Microsoft cognitive services • IBM Watson • Google cloud vision, • Google NL API AI as a service offerings
  15. 15. 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 • 100% use of AI in services and gov data analytics • 90% resistance of financial crises AI Council to: • Coordinate AI implementation in the gov sector • Recommending development of related Infrastructure • Identify challenges and overcome them • Integrating AI in the different stages of education
  16. 16. Reinventing Government Services using AI: UAE Examples Shehab chatbot by DCT Abu Dhabi
  17. 17. Reinventing Government Services using AI: UAE Examples • Oyoon (eyes) AI surveillance Program: • to improve security and Safety in Dubai • Smart CCTV monitoring crime and traffic accidents and violations • Expected outcomes: • help police with the decision-making process • Faster response to incidents • optimizing human resources by reducing their intervention in areas of monitoring, analysis and surveillance.
  18. 18. 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)
  19. 19. Recommendations • AI in the GCC still in early stages and a lot needs to be done to reap the benefits • GCC countries need to develop AI strategies and road maps to implement AI • More coordination between GCC countries is needed • Explore common opportunities and address common challenges • Close coordination with research centers and universities to promote AI research • Preparing people for change • AI governance • Laws and regulation
  20. 20. End

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