Attention Smart City professionals!
Are you tired of sifting through countless resources to find the answers to your most pressing questions about AI risks in Smart Cities? Look no further, because our Smart Cities in AI Risks Knowledge Base has everything you need.
Our dataset consists of 1514 prioritized requirements, solutions, benefits, results, and real-life examples of AI risks in Smart Cities.
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We have meticulously curated this dataset to ensure that it covers all aspects of AI risks in Smart Cities, leaving no stone unturned.
No other product on the market can compete with the depth and breadth of our data.
Not only is our knowledge base essential for professionals in the Smart City industry, but it is also user-friendly and affordable.
With our product, you can easily access the information you need without breaking the bank.
It′s a DIY solution that puts the power back in your hands.
Our product provides a detailed overview of requirements, solutions, and benefits specific to AI risks in Smart Cities.
You won′t find this level of specificity in semi-related products.
Plus, our knowledge base is continuously updated to reflect the latest research and industry developments, so you can be confident that you′re getting the most up-to-date information.
As a business, you cannot afford to ignore the potential risks of AI in Smart Cities.
Not addressing these risks can lead to significant consequences for your organization.
Our knowledge base not only helps you understand these risks but also provides practical solutions to mitigate them.
This invaluable resource is a must-have for any business looking to stay ahead in the ever-evolving world of Smart Cities.
We understand that cost is always a consideration for businesses, which is why we offer our knowledge base at an affordable price.
Don′t let the fear of high costs hold you back from accessing critical information about AI risks in Smart Cities.
So, what are the pros and cons of our product? The pros are numerous - easily accessible, comprehensive, cost-effective, and constantly updated.
As for cons, well, we can′t think of any.
Our Smart Cities in AI Risks Knowledge Base is a game-changer for professionals and businesses alike.
In summary, our knowledge base is your one-stop-shop for all things related to AI risks in Smart Cities.
With our dataset, you will have everything you need to make informed decisions, mitigate risks, and stay ahead in the competitive world of Smart Cities.
Don′t miss out on this opportunity to elevate your knowledge and expertise.
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How will you maintain energy and motivation What are your initial ideas regarding funding? How does online space reform, reproduce, transform public spaces though an online daily life? How do you see the smart cities initiatives being visualized in organizationwide context?
Smart Cities
Smart cities are designed to use technology and innovation to improve the efficiency, sustainability, and quality of life for its residents. Energy and motivation can be maintained through incentives, community involvement, and data-driven decision making. Initial ideas for funding include public-private partnerships, grants, and cost-saving measures.
Solutions:
1. Implementing AI-aware policies for energy management and incentivizing sustainable behavior.
2. Creating community engagement programs to raise awareness about the benefits of smart cities.
3. Collaborating with private companies to develop cost-effective solutions for funding.
4. Utilizing crowdfunding or public-private partnerships for financing smart city initiatives.
5. Applying for government grants and subsidies for smart city projects.
6. Utilizing revenue streams from data analytics and monetization.
7. Developing a long-term investment plan for sustainable management of smart city infrastructure.
8. Exploring microfinancing options for small businesses to contribute to smart city development.
9. Encouraging governments to prioritize smart city funding in their budget allocations.
10. Partnering with international organizations for financial support and knowledge sharing.
Benefits:
1. Efficient energy consumption and reduction of carbon footprint.
2. Increased public engagement and participation in building a sustainable city.
3. Diversified sources of funding for smart city projects.
4. Cost-effective solutions for financing smart city initiatives.
5. Greater transparency and accountability in the use of funds.
6. Potential revenue generation through data monetization.
7. Long-term sustainability of smart city infrastructure.
8. Inclusion of small businesses in the development of smart cities.
9. Government support and prioritization for smart city funding.
10. Access to international expertise and resources for smart city development.
CONTROL QUESTION: How will you maintain energy and motivation What are the initial ideas regarding funding?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
The big hairy audacious goal for Smart Cities 10 years from now is to create fully sustainable and self-sufficient cities that utilize renewable energy sources, reduce waste and carbon emissions, and prioritize the health and well-being of its citizens.
To maintain energy and motivation towards this goal, constant public engagement and education will be crucial. This includes implementing interactive programs, workshops, and community events that raise awareness and promote sustainable practices. Collaboration with local governments, businesses, and universities will also be vital to continuously innovate and improve upon existing systems.
Funding for this ambitious goal can come from a variety of sources. One possibility is establishing partnerships with private corporations that are committed to sustainability and can provide financial support. Another option is implementing green initiatives and policies, such as carbon taxes and incentives for businesses and individuals to invest in sustainable practices. Grants and funding from government agencies and international organizations can also aid in the development and implementation of sustainable infrastructure.
Additionally, crowdsourcing and leveraging public support through donations and investments in sustainable projects can also play a significant role in funding Smart Cities. Engaging with the community and highlighting the positive impacts of these initiatives can encourage individuals to contribute towards achieving the goal of sustainable and self-sufficient cities.
"If you`re looking for a dataset that delivers actionable insights, look no further. The prioritized recommendations are well-organized, making it a joy to work with. Definitely recommend!"
Client Situation:
The city of Newburgh, located in upstate New York, is a growing community that is looking to implement smart city technologies in order to improve the quality of life for its residents and to attract new businesses. The city has identified energy consumption and motivation as two main areas of focus for their smart city initiatives. In order to achieve their goals, the city has approached our consulting firm for guidance and expertise in creating a sustainable and effective plan for maintaining energy and motivation.
Consulting Methodology:
Our consulting firm follows a three-phase approach to assist cities in implementing smart city strategies: 1) Discovery and Assessment Phase, 2) Planning and Design Phase, and 3) Implementation and Monitoring Phase.
- In the Discovery and Assessment phase, we conduct a thorough analysis of the client′s current situation. This includes understanding their objectives, identifying key stakeholders, conducting surveys and interviews with residents and city officials, and evaluating the existing infrastructure and resources.
- In the Planning and Design phase, we work closely with the client to develop a customized plan that aligns with their objectives and takes into consideration the findings from the Discovery and Assessment phase. This involves identifying key areas of focus, establishing KPIs, and creating a roadmap for implementation.
- In the Implementation and Monitoring phase, we support the client in executing the plan and continuously monitor progress. We also provide guidance on potential challenges and assist in refining the strategy as needed.
Deliverables:
The deliverables for this project will include a comprehensive plan for maintaining energy and motivation, which will consist of:
1. Strategies for Energy Management:
Our team will identify, analyze, and recommend solutions for energy conservation and management. This will include reviewing the city′s current energy usage patterns and making recommendations for energy-efficient upgrades and implementing smart energy systems.
2. Initiatives for Motivation:
We will conduct surveys and focus groups to understand the factors that motivate residents and city employees. Based on the findings, we will develop initiatives to increase motivation in the community, such as creating civic engagement opportunities and improving communication channels between city officials and residents.
3. Funding Solutions:
We will explore various funding options and sources to support the implementation of smart city technologies. This will include grants, public-private partnerships, and cost-sharing arrangements with stakeholders.
Implementation Challenges:
Several challenges may arise during the implementation of the plan, including:
1. Resource Constraints:
One of the major challenges facing many cities is limited resources. Newburgh may face similar constraints, which could impact the speed and scale of their smart city projects. Our team will work closely with city officials to identify cost-effective solutions and prioritize initiatives that can be implemented with existing resources.
2. Resistance to Change:
Implementing new technologies and processes can often meet resistance from stakeholders who are used to traditional methods. Our team will address this challenge by conducting extensive stakeholder engagement and showcasing the potential benefits of the proposed changes.
KPIs:
To measure the success of the project, we will track several KPIs, including:
1. Energy Savings:
The primary aim of energy management initiatives is to reduce consumption and costs. We will track and report on the city′s energy usage and cost savings achieved through the implementation of our recommendations.
2. Motivation Levels:
We will conduct surveys at regular intervals to gauge the level of motivation among residents and city employees. This will allow us to assess the effectiveness of our initiatives and make adjustments as needed.
3. Availability of Funding:
Securing funding is a significant milestone for the success of the project. We will track the progress in securing funding from different sources and report on the amount received.
Management Considerations:
In addition to the technical aspects, we recognize the importance of involving stakeholders and engaging the community throughout the project. Therefore, our consulting firm will work closely with city officials to conduct informational sessions and workshops to educate and obtain feedback from residents. We will also provide guidance on change management and communication strategies to ensure a smooth implementation process.
Citations:
1. Deloitte. (2019). Smarter cities: reimagining the possible. Retrieved from https://www2.deloitte.com/content/dam/Deloitte/us/Documents/public-sector/us-us-smarter-cities-transformation.pdf
2. Berriman, J. (2018). Key considerations for smart city funding. Retrieved from https://www.smartcitiesworld.net/insights/insights/key-considerations-for-smart-city-funding-3716
3. Diprose, P. (2018). How to Measure Smart City Success. Retrieved from https://www2.deloitte.com/au/en/pages/public-sector/articles/how-to-measure-smart-city-success.html
4. Global Market Insights. (2019). Smart Cities Market Size By Application (Government, Transportation, Utilities, Buildings), Industry Analysis Report, Regional Outlook (U.S., Canada, UK, Germany, France, Spain, Italy, China, India, Japan, Australia, South Korea, Brazil, Mexico, GCC, Africa), Growth Potential, Competitive Market Share & Forecast, 2019 – 2025. Retrieved from https://www.gminsights.com/industry-analysis/smart-cities-market-report
Are you tired of sifting through countless resources to find the answers to your most pressing questions about AI risks in Smart Cities? Look no further, because our Smart Cities in AI Risks Knowledge Base has everything you need.
Our dataset consists of 1514 prioritized requirements, solutions, benefits, results, and real-life examples of AI risks in Smart Cities.
This means that you can easily find the information you need by urgency and scope, saving you time and effort.
But what sets our knowledge base apart from competitors and alternatives? The answer is simple - our comprehensive and thorough approach.
We have meticulously curated this dataset to ensure that it covers all aspects of AI risks in Smart Cities, leaving no stone unturned.
No other product on the market can compete with the depth and breadth of our data.
Not only is our knowledge base essential for professionals in the Smart City industry, but it is also user-friendly and affordable.
With our product, you can easily access the information you need without breaking the bank.
It′s a DIY solution that puts the power back in your hands.
Our product provides a detailed overview of requirements, solutions, and benefits specific to AI risks in Smart Cities.
You won′t find this level of specificity in semi-related products.
Plus, our knowledge base is continuously updated to reflect the latest research and industry developments, so you can be confident that you′re getting the most up-to-date information.
As a business, you cannot afford to ignore the potential risks of AI in Smart Cities.
Not addressing these risks can lead to significant consequences for your organization.
Our knowledge base not only helps you understand these risks but also provides practical solutions to mitigate them.
This invaluable resource is a must-have for any business looking to stay ahead in the ever-evolving world of Smart Cities.
We understand that cost is always a consideration for businesses, which is why we offer our knowledge base at an affordable price.
Don′t let the fear of high costs hold you back from accessing critical information about AI risks in Smart Cities.
So, what are the pros and cons of our product? The pros are numerous - easily accessible, comprehensive, cost-effective, and constantly updated.
As for cons, well, we can′t think of any.
Our Smart Cities in AI Risks Knowledge Base is a game-changer for professionals and businesses alike.
In summary, our knowledge base is your one-stop-shop for all things related to AI risks in Smart Cities.
With our dataset, you will have everything you need to make informed decisions, mitigate risks, and stay ahead in the competitive world of Smart Cities.
Don′t miss out on this opportunity to elevate your knowledge and expertise.
Get your hands on our Smart Cities in AI Risks Knowledge Base today!
Discover Insights, Make Informed Decisions, and Stay Ahead of the Curve:
Key Features:
Comprehensive set of 1514 prioritized Smart Cities requirements. - Extensive coverage of 292 Smart Cities topic scopes.
- In-depth analysis of 292 Smart Cities step-by-step solutions, benefits, BHAGs.
- Detailed examination of 292 Smart Cities case studies and use cases.
- Digital download upon purchase.
- Enjoy lifetime document updates included with your purchase.
- Benefit from a fully editable and customizable Excel format.
- Trusted and utilized by over 10,000 organizations.
- Covering: Adaptive Processes, Top Management, AI Ethics Training, Artificial Intelligence In Healthcare, Risk Intelligence Platform, Future Applications, Virtual Reality, Excellence In Execution, Social Manipulation, Wealth Management Solutions, Outcome Measurement, Internet Connected Devices, Auditing Process, Job Redesign, Privacy Policy, Economic Inequality, Existential Risk, Human Replacement, Legal Implications, Media Platforms, Time series prediction, Big Data Insights, Predictive Risk Assessment, Data Classification, Artificial Intelligence Training, Identified Risks, Regulatory Frameworks, Exploitation Of Vulnerabilities, Data Driven Investments, Operational Intelligence, Implementation Planning, Cloud Computing, AI Surveillance, Data compression, Social Stratification, Artificial General Intelligence, AI Technologies, False Sense Of Security, Robo Advisory Services, Autonomous Robots, Data Analysis, Discount Rate, Machine Translation, Natural Language Processing, Smart Risk Management, Cybersecurity defense, AI Governance Framework, AI Regulation, Data Protection Impact Assessments, Technological Singularity, Automated Decision, Responsible Use Of AI, Algorithm Bias, Continually Improving, Regulate AI, Predictive Analytics, Machine Vision, Cognitive Automation, Research Activities, Privacy Regulations, Fraud prevention, Cyber Threats, Data Completeness, Healthcare Applications, Infrastructure Management, Cognitive Computing, Smart Contract Technology, AI Objectives, Identification Systems, Documented Information, Future AI, Network optimization, Psychological Manipulation, Artificial Intelligence in Government, Process Improvement Tools, Quality Assurance, Supporting Innovation, Transparency Mechanisms, Lack Of Diversity, Loss Of Control, Governance Framework, Learning Organizations, Safety Concerns, Supplier Management, Algorithmic art, Policing Systems, Data Ethics, Adaptive Systems, Lack Of Accountability, Privacy Invasion, Machine Learning, Computer Vision, Anti Social Behavior, Automated Planning, Autonomous Systems, Data Regulation, Control System Artificial Intelligence, AI Ethics, Predictive Modeling, Business Continuity, Anomaly Detection, Inadequate Training, AI in Risk Assessment, Project Planning, Source Licenses, Power Imbalance, Pattern Recognition, Information Requirements, Governance And Risk Management, Machine Data Analytics, Data Science, Ensuring Safety, Generative Art, Carbon Emissions, Financial Collapse, Data generation, Personalized marketing, Recognition Systems, AI Products, Automated Decision-making, AI Development, Labour Productivity, Artificial Intelligence Integration, Algorithmic Risk Management, Data Protection, Data Legislation, Cutting-edge Tech, Conformity Assessment, Job Displacement, AI Agency, AI Compliance, Manipulation Of Information, Consumer Protection, Fraud Risk Management, Automated Reasoning, Data Ownership, Ethics in AI, Governance risk policies, Virtual Assistants, Innovation Risks, Cybersecurity Threats, AI Standards, Governance risk frameworks, Improved Efficiencies, Lack Of Emotional Intelligence, Liability Issues, Impact On Education System, Augmented Reality, Accountability Measures, Expert Systems, Autonomous Weapons, Risk Intelligence, Regulatory Compliance, Machine Perception, Advanced Risk Management, AI and diversity, Social Segregation, AI Governance, Risk Management, Artificial Intelligence in IoT, Managing AI, Interference With Human Rights, Invasion Of Privacy, Model Fairness, Artificial Intelligence in Robotics, Predictive Algorithms, Artificial Intelligence Algorithms, Resistance To Change, Privacy Protection, Autonomous Vehicles, Artificial Intelligence Applications, Data Innovation, Project Coordination, Internal Audit, Biometrics Authentication, Lack Of Regulations, Product Safety, AI Oversight, AI Risk, Risk Assessment Technology, Financial Market Automation, Artificial Intelligence Security, Market Surveillance, Emerging Technologies, Mass Surveillance, Transfer Of Decision Making, AI Applications, Market Trends, Surveillance Authorities, Test AI, Financial portfolio management, Intellectual Property Protection, Healthcare Exclusion, Hacking Vulnerabilities, Artificial Intelligence, Sentiment Analysis, Human AI Interaction, AI System, Cutting Edge Technology, Trustworthy Leadership, Policy Guidelines, Management Processes, Automated Decision Making, Source Code, Diversity In Technology Development, Ethical risks, Ethical Dilemmas, AI Risks, Digital Ethics, Low Cost Solutions, Legal Liability, Data Breaches, Real Time Market Analysis, Artificial Intelligence Threats, Artificial Intelligence And Privacy, Business Processes, Data Protection Laws, Interested Parties, Digital Divide, Privacy Impact Assessment, Knowledge Discovery, Risk Assessment, Worker Management, Trust And Transparency, Security Measures, Smart Cities, Using AI, Job Automation, Human Error, Artificial Superintelligence, Automated Trading, Technology Regulation, Regulatory Policies, Human Oversight, Safety Regulations, Game development, Compromised Privacy Laws, Risk Mitigation, Artificial Intelligence in Legal, Lack Of Transparency, Public Trust, Risk Systems, AI Policy, Data Mining, Transparency Requirements, Privacy Laws, Governing Body, Artificial Intelligence Testing, App Updates, Control Management, Artificial Intelligence Challenges, Intelligence Assessment, Platform Design, Expensive Technology, Genetic Algorithms, Relevance Assessment, AI Transparency, Financial Data Analysis, Big Data, Organizational Objectives, Resource Allocation, Misuse Of Data, Data Privacy, Transparency Obligations, Safety Legislation, Bias In Training Data, Inclusion Measures, Requirements Gathering, Natural Language Understanding, Automation In Finance, Health Risks, Unintended Consequences, Social Media Analysis, Data Sharing, Net Neutrality, Intelligence Use, Artificial intelligence in the workplace, AI Risk Management, Social Robotics, Protection Policy, Implementation Challenges, Ethical Standards, Responsibility Issues, Monopoly Of Power, Algorithmic trading, Risk Practices, Virtual Customer Services, Security Risk Assessment Tools, Legal Framework, Surveillance Society, Decision Support, Responsible Artificial Intelligence
Smart Cities Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):
Smart Cities
Smart cities are designed to use technology and innovation to improve the efficiency, sustainability, and quality of life for its residents. Energy and motivation can be maintained through incentives, community involvement, and data-driven decision making. Initial ideas for funding include public-private partnerships, grants, and cost-saving measures.
Solutions:
1. Implementing AI-aware policies for energy management and incentivizing sustainable behavior.
2. Creating community engagement programs to raise awareness about the benefits of smart cities.
3. Collaborating with private companies to develop cost-effective solutions for funding.
4. Utilizing crowdfunding or public-private partnerships for financing smart city initiatives.
5. Applying for government grants and subsidies for smart city projects.
6. Utilizing revenue streams from data analytics and monetization.
7. Developing a long-term investment plan for sustainable management of smart city infrastructure.
8. Exploring microfinancing options for small businesses to contribute to smart city development.
9. Encouraging governments to prioritize smart city funding in their budget allocations.
10. Partnering with international organizations for financial support and knowledge sharing.
Benefits:
1. Efficient energy consumption and reduction of carbon footprint.
2. Increased public engagement and participation in building a sustainable city.
3. Diversified sources of funding for smart city projects.
4. Cost-effective solutions for financing smart city initiatives.
5. Greater transparency and accountability in the use of funds.
6. Potential revenue generation through data monetization.
7. Long-term sustainability of smart city infrastructure.
8. Inclusion of small businesses in the development of smart cities.
9. Government support and prioritization for smart city funding.
10. Access to international expertise and resources for smart city development.
CONTROL QUESTION: How will you maintain energy and motivation What are the initial ideas regarding funding?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
The big hairy audacious goal for Smart Cities 10 years from now is to create fully sustainable and self-sufficient cities that utilize renewable energy sources, reduce waste and carbon emissions, and prioritize the health and well-being of its citizens.
To maintain energy and motivation towards this goal, constant public engagement and education will be crucial. This includes implementing interactive programs, workshops, and community events that raise awareness and promote sustainable practices. Collaboration with local governments, businesses, and universities will also be vital to continuously innovate and improve upon existing systems.
Funding for this ambitious goal can come from a variety of sources. One possibility is establishing partnerships with private corporations that are committed to sustainability and can provide financial support. Another option is implementing green initiatives and policies, such as carbon taxes and incentives for businesses and individuals to invest in sustainable practices. Grants and funding from government agencies and international organizations can also aid in the development and implementation of sustainable infrastructure.
Additionally, crowdsourcing and leveraging public support through donations and investments in sustainable projects can also play a significant role in funding Smart Cities. Engaging with the community and highlighting the positive impacts of these initiatives can encourage individuals to contribute towards achieving the goal of sustainable and self-sufficient cities.
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Smart Cities Case Study/Use Case example - How to use:
Client Situation:
The city of Newburgh, located in upstate New York, is a growing community that is looking to implement smart city technologies in order to improve the quality of life for its residents and to attract new businesses. The city has identified energy consumption and motivation as two main areas of focus for their smart city initiatives. In order to achieve their goals, the city has approached our consulting firm for guidance and expertise in creating a sustainable and effective plan for maintaining energy and motivation.
Consulting Methodology:
Our consulting firm follows a three-phase approach to assist cities in implementing smart city strategies: 1) Discovery and Assessment Phase, 2) Planning and Design Phase, and 3) Implementation and Monitoring Phase.
- In the Discovery and Assessment phase, we conduct a thorough analysis of the client′s current situation. This includes understanding their objectives, identifying key stakeholders, conducting surveys and interviews with residents and city officials, and evaluating the existing infrastructure and resources.
- In the Planning and Design phase, we work closely with the client to develop a customized plan that aligns with their objectives and takes into consideration the findings from the Discovery and Assessment phase. This involves identifying key areas of focus, establishing KPIs, and creating a roadmap for implementation.
- In the Implementation and Monitoring phase, we support the client in executing the plan and continuously monitor progress. We also provide guidance on potential challenges and assist in refining the strategy as needed.
Deliverables:
The deliverables for this project will include a comprehensive plan for maintaining energy and motivation, which will consist of:
1. Strategies for Energy Management:
Our team will identify, analyze, and recommend solutions for energy conservation and management. This will include reviewing the city′s current energy usage patterns and making recommendations for energy-efficient upgrades and implementing smart energy systems.
2. Initiatives for Motivation:
We will conduct surveys and focus groups to understand the factors that motivate residents and city employees. Based on the findings, we will develop initiatives to increase motivation in the community, such as creating civic engagement opportunities and improving communication channels between city officials and residents.
3. Funding Solutions:
We will explore various funding options and sources to support the implementation of smart city technologies. This will include grants, public-private partnerships, and cost-sharing arrangements with stakeholders.
Implementation Challenges:
Several challenges may arise during the implementation of the plan, including:
1. Resource Constraints:
One of the major challenges facing many cities is limited resources. Newburgh may face similar constraints, which could impact the speed and scale of their smart city projects. Our team will work closely with city officials to identify cost-effective solutions and prioritize initiatives that can be implemented with existing resources.
2. Resistance to Change:
Implementing new technologies and processes can often meet resistance from stakeholders who are used to traditional methods. Our team will address this challenge by conducting extensive stakeholder engagement and showcasing the potential benefits of the proposed changes.
KPIs:
To measure the success of the project, we will track several KPIs, including:
1. Energy Savings:
The primary aim of energy management initiatives is to reduce consumption and costs. We will track and report on the city′s energy usage and cost savings achieved through the implementation of our recommendations.
2. Motivation Levels:
We will conduct surveys at regular intervals to gauge the level of motivation among residents and city employees. This will allow us to assess the effectiveness of our initiatives and make adjustments as needed.
3. Availability of Funding:
Securing funding is a significant milestone for the success of the project. We will track the progress in securing funding from different sources and report on the amount received.
Management Considerations:
In addition to the technical aspects, we recognize the importance of involving stakeholders and engaging the community throughout the project. Therefore, our consulting firm will work closely with city officials to conduct informational sessions and workshops to educate and obtain feedback from residents. We will also provide guidance on change management and communication strategies to ensure a smooth implementation process.
Citations:
1. Deloitte. (2019). Smarter cities: reimagining the possible. Retrieved from https://www2.deloitte.com/content/dam/Deloitte/us/Documents/public-sector/us-us-smarter-cities-transformation.pdf
2. Berriman, J. (2018). Key considerations for smart city funding. Retrieved from https://www.smartcitiesworld.net/insights/insights/key-considerations-for-smart-city-funding-3716
3. Diprose, P. (2018). How to Measure Smart City Success. Retrieved from https://www2.deloitte.com/au/en/pages/public-sector/articles/how-to-measure-smart-city-success.html
4. Global Market Insights. (2019). Smart Cities Market Size By Application (Government, Transportation, Utilities, Buildings), Industry Analysis Report, Regional Outlook (U.S., Canada, UK, Germany, France, Spain, Italy, China, India, Japan, Australia, South Korea, Brazil, Mexico, GCC, Africa), Growth Potential, Competitive Market Share & Forecast, 2019 – 2025. Retrieved from https://www.gminsights.com/industry-analysis/smart-cities-market-report
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