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Webinars

Panel discussion: Using AI to create value in cities for communities and workforce

Panel discussion: Using AI to create value in cities for communities and workforce

OnDemand Webinar: Driving Efficiency with Digital Twins and AI in Water Management

OnDemand Webinar: Driving Efficiency with Digital Twins and AI in Water Management

Special Reports

A clean and efficient future: energy in focus at Cities Climate Action Summit 2024

A clean and efficient future: energy in focus at Cities Climate Action Summit 2024

Smart Cities Reports

SmartCitiesWorld City Profile 2024 – City of Madrid

SmartCitiesWorld City Profile 2024 – City of Madrid

SmartCitiesWorld City Profile –Shenzhen

SmartCitiesWorld City Profile –Shenzhen

Podcasts

Urban Exchange Podcast Episode 23 - Identifying urban solutions at the intersection of climate, health, and equity

Urban Exchange Podcast Episode 23 - Identifying urban solutions at the intersection of climate, health, and equity

Urban Exchange Podcast Episode 22 - Digital solutions shaping the urban landscape

Urban Exchange Podcast Episode 22 - Digital solutions shaping the urban landscape

Opinions

The built environment’s Scope 3 emissions conundrum

The built environment’s Scope 3 emissions conundrum

Cities Climate Action Summit 2024 – meet the exhibitor: Latitudo 40

Cities Climate Action Summit 2024 – meet the exhibitor: Latitudo 40

White Paper: Edge computing and AI - the foundations of the best in class smart city

The surge in data is only going to get bigger and cities need to look to new technologies to manage it effectively and meet citizen demands for new services.

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White Paper: Edge computing and AI - the foundations of the best in class smart city

Smart cities are fuelled by data from an ever increasing number of sources. The potential for transport networks, waste management, utilities, water and more to be run in a more efficient way and with new kinds of services offered to citizens is arguably the most exciting aspect of the changing city.

 

However, there are obstacles to overcome before we can truly tap into the richness of data. In many cases, data has been running on proprietary software and hardware, with networks unable to talk to one another. This drastically reduces the potential to use data to its fullest.
This is why more smart cities are turning to big data, edge computing and machine learning. Open, flexible and scalable platforms give cities the ability to run governance, security rich environments, advanced query and data management. Cities are no longer tied into a specific vendor’s solutions and crucially data is unsiloed, meaning cities can produce new and innovative services. With the power of machine learning, cities are able to anticipate issues before they occur.

 

This White Paper covers:
  • The rise in data, and the different kinds of data, that a city has to process;
  • Why existing data management models are ill-equipped for a smart city’s requirements;
  • How open source, big data platforms equipped with machine learning can unlock higher quality data control, quicker analysis and actions, continuous operations and lower total costs of ownership;
  • How Dubai is using big data and AI to unlock new use cases;
  • How different parts of a city can benefit from the technologies;
  • The future of big data and ML and how smart cities will take advantage of it in future

 

 

 

You will need to be a member to download the full report, however membership is free and only takes 30 seconds to sign up.

 

 

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