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How Disruptive Technologies are
Reshaping the Future of Cities
Dr. Saeed Aldhaheri
Chairman of the board,
Smartworld
@DDSaeed
Arab ICT Forum 2018, Bahrain, 9 December 2018
01Future cities & smart cities overview
02Smart city capability framework
03Disruptive technologies
04Use Cases: IoT, AI, open data
05Challenges
Agenda
06Recommendations
Urban
environment
Disruptive
Innovation
Digital
Technology
A Future city, or Smart City
What is a smart city?
Source: Deloitte smart cities report 2015
A Future city is
based on the
human itself
• Cater for the needs of its people
• More sustainable
• More social
• More exciting
• More Safe
• Lead to a more healthier life
• A great place to live, work and play
• More smart & intelligent (Technology is
an enabler)
• More efficient and effective
• More responsive
• Can predict and plan for the future
A future city is about
people living in the age of
technology
• “Cities are about people not technology”
• What a city should look like in the 21st century
• Technology is just one aspect…
• Openness for new
creative ideas
• willingness to experiment
and to take calculated risk
• try new types of
collaboration between
stakeholders
• Foundation networks for energy and
digital connectivity
• Fixed &Mobile broadband 4G & 5G
• IoT networks and platforms
• How to manage standards and
protocols to establish homogeneous
network
• New skills and competencies are
needed in the city
• Need many data scientists
• smart solutions aim at changing the
behaviour of people, cities need
experts who understand the
mechanisms of human behaviour
and changing human behaviour.
Vision & Strategy Data Technology
Skills & Competencies Innovation Culture Attractiveness Public Private ecosystem
Smart City Capability Framework
• Ecosystem to Co-create
smart solutions between
public & private
• Create value for all
• Role of gov as a facilitator
to bring different parties to
work together
• Need ecosystem to
attract businesses and
talents
• “war on talent” between
Mega cities
• Start-up ecosystem
• active policy to attract
businesses and talent
• Data combined from multiple
sources, including sensor data
give real insight into societal
challenges such as sustainability,
mobility, health, security
• Insight yield better and smarter
decisions
• A clear vision of what the city wants
to be and a strategy to realize the
vision
• Address challenges and
opportunities
• Clear economic and social vision
• Vision and strategy is important to
counterweight the push by vendors
Disruptive technologies and social innovation
are fueling smart solutions
Mobile: powerful mobile devices and apps, using
internet, act as front end for many innovative solutions
Cloud: on-demand access to rich application
functionality & computing power allow for exponential
scalable solutions in a “pay-per-use” model
Big Data: large volumes of data (structured data, sensor
data, audio, video, social media) form the lifeblood of
smart solutions
Artificial Intelligence: cognitive systems combine machine
learning with the ability to interact via natural language and
create insight from data
Internet of Things: physical objects equipped with
advanced sensors and connectivity transform into smart
objects and generate a plethora of data
Social Robotics and Drones: social robots and drones
replace human labor on a large scale, not only for routine
work but increasingly for providing services
Blockchain: algorithm that facilitates registering
transactions in an indisputable way without the use of an
intermediary or a central administration
3D Printing: additive manufacturing allows for efficient
production of unique products where and when they are
needed
Crowd Sourcing: the process of soliciting contribution
from a group of people to obtain needed services, ideas, or
content, and especially from an online community
Co-Creation: brings together parties to jointly create a
mutual valued outcome. In the context of smart cities,
these are (communities of) citizens, private companies,
knowledge institutes and public organizations that form an
ecosystem to solve societal problems in a creative way.
Gamification: the use of game thinking and game design
elements (competition, levels, badges, etc.) in non-game
contexts. The objective of gamification is to stimulate
people to change their behaviour In a desired way.
Digital Twins: Digital Replica of physical objects. In smart
city context, to build digital replica of a city. This is useful to
visualize the city with different layers including buildings,
utilities, services,etc. Helps urban planning with simulation
Disruptive technologies: Internet of Things
• The IoT: massive use of advanced sensors and wireless
communication in all kinds of physical objects
• 8.4 billion connected devices in 2017 and will reach
20.4 billion by 2020. Gartner
• The massive data generated by the wide scale use of
sensor technology can be used in smart solutions to
optimize the use of infrastructure and resources.
• Sensors: traffic, energy use, health, parking, waste,
lighting,,,,etc
• Connectivity: 3G/4G, Wi-Fi, LoRa
• Use cases: smart homes, smart buildings, smart
lighting, smart streets, smart devices
IoT example: the Edge – the
greenest building in the world
• The most fully realized vision of IoT in the world (the smartest and
most sustainable and connected building)
• Designed to provide excellent user experience:
• Smart parking, charging stations for electric cars
• Staff can choose in which office space to work
• An app for user guidance in the building and to adjust personal
preference for lighting and temperature
• Uses solar panels and generates more energy than it consumes
• Collects rain water and uses it to flush toilets and for irrigation to the
green areas around the building
• Equipped with more than 30,000 sensors (infrared, ambient light,
humidity, and temperature) and uses LED OE lighting
• Coffee machines and towel dispensers are connected for just-in-time
refill
• Data is used for preventive maintenance and reduce energy
consumption
• save 42 million kilograms of CO2 in 10 years, vs. to a normal office
building and the estimated energy consumption is less than 0.3
AI applications are growing and touching
almost every aspect of our lives
• Health care: diagnosing disease, personalized
medicine, and improving public health
• Ex. IBM Watson for oncology
• Transportation: autonomous cars, traffic control
• Optimizing infrastructure operations
• Infrastructure monitoring for predictive maintenance
• Improving service delivery
• Chat bots and virtual agents
• Public safety: Intelligent cameras and security
robots
• Shopping malls, corporate campuses, data centers
• Online retail
• Cashierless stores (Amazon Go)
Dubai Smart City program is unique and uses
a wholistic approach to Smart City
“Dubai will be the first city powered
By Blockchain by 2020”
“10 years ahead of other world cities”
Disruptive Innovation
25% autonomous transportation by 2030
UAE Centennial 2071 Plan
“Make Dubai the happiest city on earth”
Dubai Smart City: trying and testing new ideas
Reinventing Government Services using AI: UAE Examples
Shehab chatbot by DCT Abu Dhabi
Data is the lifeblood of smart city solutions
• “If there is one ingredient that makes a city smart, it is
data.” – Deloitte
• Real insight to drive decision making can be obtained
from the collective city data
• A need for city data strategy
• How to address City Data Challenges
• Organize city data hacks
• Provide data science scholarships
Future Cities Catapult launches a new AI
network that brings together industry and
cities looking to develop and adopt AI
Smart cities are data-driven
Open data portals to stimulate civic innovation
• Data provide insights to create new services & Businesses and
increase efficiency of Gov processes
• Cities provide city-service development through APIs to enforce
data governance
• eHelsinki – CitySDK project (now adopted by the European
Commision)
• Singapore – Smart Nation API CoLAB
• Smart Dubai open data guidelines
Example: Public engagement with city data
UAE Hackathon Data for Happiness
• Gov efforts to spread the concepts of artificial
intelligence (AI) and big data analysis
• motivate the UAE’s youth to innovate solutions to
the challenges of vital sectors
• 781 participants, distributed to 176 teams, from all
the emirates.
• female participation 60%
• Across all cities of UAE
• Hosted by national Universities in UAE
Challenges facing smart cities
• Unemployment & income inequality
• Due to automation, 30 - 45% of jobs will be automated by 2030.
• Privacy
• A billion camera to be deployed by cities by 2020
• People feel being monitored and watched
• Technology issues
• Algorithmic bias
• Immature technologies
• Ethical issues with AI
• Shortage of talents and skills
• Data science, cybersecurity, AI, Blockchain,,etc
• Cybersecurity
• Insecure IoT devices
• Security of autonomous vehicles
• Cybersecurity of critical infrastructure
• Legal framework
• To address privacy, open data, ethical issues
• Be fast and agile
Recommendations
• Arab and GCC countries need more cooperation
• Suggesting an Arab Future Cities Council
• Think of citizens and residents needs first and happiness of people
• Future cities are more about visions and strategies and the need to
address challenging issues
• Provide test beds and establish innovation labs to evaluate disruptive
technologies and address challenges
• Data is the lifeblood of smart cities. Engage your people through open
data and co-creation
A city is not a computer. Urban Intelligence is more than information processing
Shannon Mattern
A wall in Bairro Alto, Lisbon, covered with circuit boards painted white. [Daniel Gonçalves]
Thank you

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How disruptive technologies are reshaping the future of cities

  • 1. How Disruptive Technologies are Reshaping the Future of Cities Dr. Saeed Aldhaheri Chairman of the board, Smartworld @DDSaeed Arab ICT Forum 2018, Bahrain, 9 December 2018
  • 2. 01Future cities & smart cities overview 02Smart city capability framework 03Disruptive technologies 04Use Cases: IoT, AI, open data 05Challenges Agenda 06Recommendations
  • 3.
  • 4. Urban environment Disruptive Innovation Digital Technology A Future city, or Smart City What is a smart city? Source: Deloitte smart cities report 2015
  • 5. A Future city is based on the human itself • Cater for the needs of its people • More sustainable • More social • More exciting • More Safe • Lead to a more healthier life • A great place to live, work and play • More smart & intelligent (Technology is an enabler) • More efficient and effective • More responsive • Can predict and plan for the future
  • 6. A future city is about people living in the age of technology • “Cities are about people not technology” • What a city should look like in the 21st century • Technology is just one aspect…
  • 7.
  • 8. • Openness for new creative ideas • willingness to experiment and to take calculated risk • try new types of collaboration between stakeholders • Foundation networks for energy and digital connectivity • Fixed &Mobile broadband 4G & 5G • IoT networks and platforms • How to manage standards and protocols to establish homogeneous network • New skills and competencies are needed in the city • Need many data scientists • smart solutions aim at changing the behaviour of people, cities need experts who understand the mechanisms of human behaviour and changing human behaviour. Vision & Strategy Data Technology Skills & Competencies Innovation Culture Attractiveness Public Private ecosystem Smart City Capability Framework • Ecosystem to Co-create smart solutions between public & private • Create value for all • Role of gov as a facilitator to bring different parties to work together • Need ecosystem to attract businesses and talents • “war on talent” between Mega cities • Start-up ecosystem • active policy to attract businesses and talent • Data combined from multiple sources, including sensor data give real insight into societal challenges such as sustainability, mobility, health, security • Insight yield better and smarter decisions • A clear vision of what the city wants to be and a strategy to realize the vision • Address challenges and opportunities • Clear economic and social vision • Vision and strategy is important to counterweight the push by vendors
  • 9. Disruptive technologies and social innovation are fueling smart solutions Mobile: powerful mobile devices and apps, using internet, act as front end for many innovative solutions Cloud: on-demand access to rich application functionality & computing power allow for exponential scalable solutions in a “pay-per-use” model Big Data: large volumes of data (structured data, sensor data, audio, video, social media) form the lifeblood of smart solutions Artificial Intelligence: cognitive systems combine machine learning with the ability to interact via natural language and create insight from data Internet of Things: physical objects equipped with advanced sensors and connectivity transform into smart objects and generate a plethora of data Social Robotics and Drones: social robots and drones replace human labor on a large scale, not only for routine work but increasingly for providing services Blockchain: algorithm that facilitates registering transactions in an indisputable way without the use of an intermediary or a central administration 3D Printing: additive manufacturing allows for efficient production of unique products where and when they are needed Crowd Sourcing: the process of soliciting contribution from a group of people to obtain needed services, ideas, or content, and especially from an online community Co-Creation: brings together parties to jointly create a mutual valued outcome. In the context of smart cities, these are (communities of) citizens, private companies, knowledge institutes and public organizations that form an ecosystem to solve societal problems in a creative way. Gamification: the use of game thinking and game design elements (competition, levels, badges, etc.) in non-game contexts. The objective of gamification is to stimulate people to change their behaviour In a desired way. Digital Twins: Digital Replica of physical objects. In smart city context, to build digital replica of a city. This is useful to visualize the city with different layers including buildings, utilities, services,etc. Helps urban planning with simulation
  • 10. Disruptive technologies: Internet of Things • The IoT: massive use of advanced sensors and wireless communication in all kinds of physical objects • 8.4 billion connected devices in 2017 and will reach 20.4 billion by 2020. Gartner • The massive data generated by the wide scale use of sensor technology can be used in smart solutions to optimize the use of infrastructure and resources. • Sensors: traffic, energy use, health, parking, waste, lighting,,,,etc • Connectivity: 3G/4G, Wi-Fi, LoRa • Use cases: smart homes, smart buildings, smart lighting, smart streets, smart devices
  • 11. IoT example: the Edge – the greenest building in the world • The most fully realized vision of IoT in the world (the smartest and most sustainable and connected building) • Designed to provide excellent user experience: • Smart parking, charging stations for electric cars • Staff can choose in which office space to work • An app for user guidance in the building and to adjust personal preference for lighting and temperature • Uses solar panels and generates more energy than it consumes • Collects rain water and uses it to flush toilets and for irrigation to the green areas around the building • Equipped with more than 30,000 sensors (infrared, ambient light, humidity, and temperature) and uses LED OE lighting • Coffee machines and towel dispensers are connected for just-in-time refill • Data is used for preventive maintenance and reduce energy consumption • save 42 million kilograms of CO2 in 10 years, vs. to a normal office building and the estimated energy consumption is less than 0.3
  • 12. AI applications are growing and touching almost every aspect of our lives • Health care: diagnosing disease, personalized medicine, and improving public health • Ex. IBM Watson for oncology • Transportation: autonomous cars, traffic control • Optimizing infrastructure operations • Infrastructure monitoring for predictive maintenance • Improving service delivery • Chat bots and virtual agents • Public safety: Intelligent cameras and security robots • Shopping malls, corporate campuses, data centers • Online retail • Cashierless stores (Amazon Go)
  • 13. Dubai Smart City program is unique and uses a wholistic approach to Smart City “Dubai will be the first city powered By Blockchain by 2020” “10 years ahead of other world cities” Disruptive Innovation 25% autonomous transportation by 2030 UAE Centennial 2071 Plan “Make Dubai the happiest city on earth”
  • 14. Dubai Smart City: trying and testing new ideas
  • 15. Reinventing Government Services using AI: UAE Examples Shehab chatbot by DCT Abu Dhabi
  • 16. Data is the lifeblood of smart city solutions • “If there is one ingredient that makes a city smart, it is data.” – Deloitte • Real insight to drive decision making can be obtained from the collective city data • A need for city data strategy • How to address City Data Challenges • Organize city data hacks • Provide data science scholarships Future Cities Catapult launches a new AI network that brings together industry and cities looking to develop and adopt AI
  • 17. Smart cities are data-driven Open data portals to stimulate civic innovation • Data provide insights to create new services & Businesses and increase efficiency of Gov processes • Cities provide city-service development through APIs to enforce data governance • eHelsinki – CitySDK project (now adopted by the European Commision) • Singapore – Smart Nation API CoLAB • Smart Dubai open data guidelines
  • 18. Example: Public engagement with city data UAE Hackathon Data for Happiness • Gov efforts to spread the concepts of artificial intelligence (AI) and big data analysis • motivate the UAE’s youth to innovate solutions to the challenges of vital sectors • 781 participants, distributed to 176 teams, from all the emirates. • female participation 60% • Across all cities of UAE • Hosted by national Universities in UAE
  • 19. Challenges facing smart cities • Unemployment & income inequality • Due to automation, 30 - 45% of jobs will be automated by 2030. • Privacy • A billion camera to be deployed by cities by 2020 • People feel being monitored and watched • Technology issues • Algorithmic bias • Immature technologies • Ethical issues with AI • Shortage of talents and skills • Data science, cybersecurity, AI, Blockchain,,etc • Cybersecurity • Insecure IoT devices • Security of autonomous vehicles • Cybersecurity of critical infrastructure • Legal framework • To address privacy, open data, ethical issues • Be fast and agile
  • 20. Recommendations • Arab and GCC countries need more cooperation • Suggesting an Arab Future Cities Council • Think of citizens and residents needs first and happiness of people • Future cities are more about visions and strategies and the need to address challenging issues • Provide test beds and establish innovation labs to evaluate disruptive technologies and address challenges • Data is the lifeblood of smart cities. Engage your people through open data and co-creation
  • 21. A city is not a computer. Urban Intelligence is more than information processing Shannon Mattern A wall in Bairro Alto, Lisbon, covered with circuit boards painted white. [Daniel Gonçalves]