Page 278 - ITU-T Focus Group Digital Financial Services – Executive Summary
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Smart Cities and Artificial Intelligence
             It is a known fact that smart cities aim to improve urban infrastructures, while fostering innovation and
             providing an improved quality of life for its citizens.
             However, how do smart cities intend to do so?

             This pertinent question has brought up the concepts of Artificial Intelligence (AI), and machine learning
             which are touted to be the “brains” in the smart city nervous system.
             One such AI system which can be utilized within the healthcare sector of smart cities, is the Chan
             Zuckerberg Initiative. This initiative, through its start-up Meta uses artificial intelligence to compile and
             review scientific papers and helps move closer to quick discoveries on health treatments and disease,
             which can promote knowledge sharing and bring about transformational changes in the treatment of
             various diseases. Such a system significantly reduces the time-frame for detecting research or findings
             which may be otherwise overlooked.

             In the coming phase of U4SSC, its members intend to include artificial intelligence under its vision and
             explore the innumerable possibilities bestowed by this technology.
             Source: https://itu4u.wordpress.com/2017/01/27/ai-for-health-chan-zuckerberg-initiative-buys-meta-
             startup-to-speed-progress/
             https://chanzuckerberg.com/





             Smart water operations in aspiring smart cities
             Smart  water  management  entails  the  development  of  large-scale  optimization  methods  applicable  to
             water  systems,  which  integrate  modelling  and  prediction  technologies  into  a  real-time  system  that
             operates the water system in a way that reduces energy consumption and costs.
             Such water management systems take into account real-time weather data, energy rates, Automation
             System (SCADA) data and other information, to determine how best to operate the system. These
             systems take into account the following:
               On-line hydraulic modeling;
               On-line water demand prediction;
               Real-time energy rates and prediction of rates;
               Mathematical optimization (non-linear);
               System integration in a complex and secure environment.

             The city of Toronto has implemented a similar smart water operations model which will be explored
             further during phase 2 of the U4SSC.

             Source: http://www.worldwatertechnorthamerica.com/wp-content/uploads/2016/10/World-Water-
             Tech-North-America-Alnoor-Allidina-IBI-Group-Gary-Thompson-City-of-Toronto.pdf












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