/The Future Of Smart Cities’ Utilities: Powering Progress With AI

The Future Of Smart Cities’ Utilities: Powering Progress With AI

Summary: Advanced technologies are already at the forefront of driving valuable strategies optimizing the industry across all operations. This includes facilitating missions for achieving smart/clean-city initiatives and net-zero commitments.

Original author and publication date: AJ Abdallat – A[ril 12, 2021

Futurizonte Editor’s Note: If AI will control the city, then it is obvious it will also control the inhabitants of the city.

From the article:

According to a 2018 Gartner report, it’s expected that AI will become a critical feature of 30% of smart city applications by 2020, up from just 5% a few years prior. Intentional AI implementation is rapidly becoming recognized as the not-so-secret ingredient helping major energy providers accomplish their lowest carbon footprint to date with sustainability and attractive profit margins.

Components making a city “smart” involve the collection and analysis of vast amounts of data across numerous sectors, from metropolitan development and utility allocation, all the way down to manual functions like city services. Smart cities involve the construction and maintenance of arrangements of correlative sensors, equipment, and other systems designed to help create more sustainability and efficiency. According to findings from CB Insights, 

The global smart cities market size is projected to be worth $1.3T. 

Optimizing a municipality’s strategy behind the entirety of its utility operations is one of the major keys to creating a “smarter city” and a more sustainable environment overall. AI solutions are already making major strides where this initiative is concerned. As the CEO of an AI company making software for the utilities sector, the impact advanced solutions are already having on the industry is something I’m very excited about.

A real-world example of how AI is being utilized to construct smart cities includes infrastructure advancement undertakings such as geospatial analysis company Picterra’s initiative, providing technology that supports better analysis to best optimize road maintenance costs in the city of Kokomo, Indiana. According to the company, the project is designed to “allow the city council to manage road maintenance costs preemptively, optimally map public fund utilization priorities for renovation or construction and provide a methodology for all future public infrastructure maintenance efforts.” 

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