Lakhasly

Recommendations derived from the study regarding the role of artificial intelligence in enhancing the efficiency of facilities and infrastructure management within smart cities, as well as the challenges associated with their implementation, are as follows:

1.Promoting innovation in artificial intelligence: Continuous support for research and development in the field of artificial intelligence should be encouraged to foster innovative solutions.Ongoing training and skill development for personnel: Specialized training programs should be established for facility staff and engineers to enhance their proficiency in utilizing artificial intelligence technologies, thereby improving overall performance and operational efficiency.Assessing initial investment costs: To ease the adoption of technological solutions in smart cities, strategies should be explored to lower the initial costs associated with AI applications, such as enhancing government funding or stimulating private sector investments.Investment in digital infrastructure: Smart cities should prioritize investments in upgrading digital infrastructure, including advanced internet connectivity, data storage solutions, and cloud computing capabilities, to facilitate the effective deployment of artificial intelligence.2.3.4.5.6.7.

Recommendations derived from the study regarding the role of artificial intelligence in enhancing the efficiency of facilities and infrastructure management within smart cities, as well as the challenges associated with their implementation, are as follows:

1. 
   

   Fostering collaboration between public and private sectors: It is essential to promote collaboration between governmental bodies and private enterprises to create and implement artificial intelligence solutions. The public sector can offer a regulatory framework and financial support, while the private sector contributes technological advancements and expertise.

   
   


2. 
   

   Ongoing training and skill development for personnel: Specialized training programs should be established for facility staff and engineers to enhance their proficiency in utilizing artificial intelligence technologies, thereby improving overall performance and operational efficiency.

   
   


3. 
   

   Investment in digital infrastructure: Smart cities should prioritize investments in upgrading digital infrastructure, including advanced internet connectivity, data storage solutions, and cloud computing capabilities, to facilitate the effective deployment of artificial intelligence.

   
   


4. 
   

   Emphasis on sustainable solutions: Artificial intelligence technologies should be developed with a focus on long-term sustainability, which will help minimize costs and promote both environmental and economic sustainability within smart cities.

   
   


5. 
   

   Establishing privacy and data protection regulations: Given the significant reliance on data for AI applications, it is crucial to implement stringent policies that safeguard citizens' privacy and ensure the responsible and lawful use of data.

   
   


6. 
   

   Assessing initial investment costs: To ease the adoption of technological solutions in smart cities, strategies should be explored to lower the initial costs associated with AI applications, such as enhancing government funding or stimulating private sector investments.

   
   


7. 
   

   Promoting innovation in artificial intelligence: Continuous support for research and development in the field of artificial intelligence should be encouraged to foster innovative solutions.