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Cognitive Cities

Revolutionizing Urban Life with AI

Whitepaper

How to improve mobility and safety in cities with AI:

Innovative use cases for urban life

Steffen Kuhn Portrait

Steffen Kuhn

“Cognitive Cities are the next evolution in urban development. We will benefit from the transformative power of integrating real-time data and intelligent systems.”

AI and beyond Detecon Businessportraits 7.09.2022 48 Kopie Quadrat 2

Hendrik Großer

“By continually scouting for the latest trends and technologies, we contribute to the creation of cities that are not only smart but also adaptive, responsive, and predictive, ultimately leading to more resilient and livable urban spaces."

Transforming Urban Landscapes

The Path to Sustainable, Efficient, and Livable Cities

Urban centers are plagued by a multitude of challenges, including traffic congestion, pollution, public safety concerns, and the efficient management of energy and resources. Tackling these issues head-on will not only improve the quality of life for city dwellers, but also lay the foundation for more sustainable, equitable, and thriving urban communities, benefiting the entire ecosystem.

Is this Utopia? Not at all. This is how a cognitive city works. AI and beyond is key, sensored infrastructure, buildings, machinery and IoT devices together with data analytics technologies collect real-time information on urban systems. With the use of data and artificial intelligence, cities learn and adapt autonomously to changing needs and circumstances. Customized digital services ensure that residents’ lives are as pleasant as possible and that their quality of life is sustainably improved. The city concept thus goes beyond the traditional boundaries of pure data collection and processing.

How does that look with a specific example? Suppose a city utilizes AI to optimize energy consumption across various urban facilities and systems. Over time, the system gathers data on energy consumption, weather conditions, usage patterns, and other factors. With AI, the system can recognize patterns and make predictions about future energy demands. Based on this, it can then optimize energy production and distribution to maximize efficiency and reduce costs while promoting sustainability. Without human intervention, the city learns to learn autonomously.

How a smart city becomes cognitive

With the further development of smart city technologies and approaches, the city concept goes beyond the traditional boundaries of pure data collection and processing. Integrated in an adoptable ecosystem, modern technology helps to act intelligently to improve urban life and empower citizens.

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AI and beyond Asset 6

Artificial Intelligence

AI helps filter and analyze both structured and unstructured data. By analyzing patterns, AI can identify unusual behavior - important for public safety and protection of urban resources.

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Cloud solutions

Outsourcing the municipal IT landscape saves costs, keeps your own IT up to date, protects against cyber-attacks, and enables installation-free web access to software.

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Open source software

Open interfaces enable data exchange with less technical effort. That means greater digital sovereignty, faster innovation cycles, optimal reusability, and greater compatibility.

AI and beyond Asset 3

Digital twin​

Precise simulations with 3D city models can be used to assess the potentials and dangers for sustainable municipal development.

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Circular economy​

Instead of planned obsolescence, more is being shared, leased, reused, repaired, refurbished, and recycled in the municipality.

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Citizen participation​

Through analogue and digital participation, local politics and administration can involve citizens in decision-making processes at an early stage and thus reduce later resistance.​

How can artificial intelligence and cognitive cities improve the mobility and safety of residents?

This white paper explains innovative AI use cases for urban mobility worldwide that have been developed by various companies and organizations. A reliable data and connectivity strategy is a central foundation for a cognitive city. The reader will learn about the important elements for a robust, secure, scalable and customer-friendly data platform architecture as well as a reliable and flexible network.

Steffen Kuhn Portrait
Interview:

A Deep Dive into Cognitive Cities with our expert Steffen Kuhn, Head of Global Chapter Digital Strategy & Innovation

Read about the challenges of the development of cognitive cities and why we better start right now with a holistic approach

What are the three main challenges in the development of cognitive cities?

“First of all, our cities need an encouraging vision. As we are just at the beginning of this new era, the potential is there to now focus on residents’ needs in urban life​ and to build up knowledge by planning a goal-achieving blueprint. 

Secondly, governments need to address the technological aspect. We still see a lack of understanding and willingness for AI and connectivity technology, making it difficult to engage technology experts at every level of government work at an early stage. Network infrastructures are constantly being upgraded. This requires precise alignment with the upgrading of existing ICT infrastructure. This is associated with investments and the involvement of experts. Furthermore, technical standards are difficult to realize in different regions. This complicates coordination among local authorities and industry stakeholders across different regions. Both regulation and technology pose a challenge.

And third, cities must deal with concerns on cybersecurity and data privacy: Solutions to the challenges of cyber-attacks, information disclosure, theft and damage to software and hardware, challenges of proper handling and protection of sensitive and confidential data, must be prioritized to bring citizen participation and interaction in the ecosystem to life."

How to overcome these challenges?

"Overcoming these challenges requires a holistic approach to engage all stakeholders and deliver collective welfare. Today’s cities and regions must built innovative and resilient solutions to attract relevant stakeholders. Utilising the opportunities offered by digital technology is key, so we can't start early enough to get to grips with it. 

 

Furthermore, fostering collaboration between government agencies, private sector entities, academia, and community organizations is crucial. By leveraging the collective expertise and resources of these stakeholders, cities can develop comprehensive strategies to address each challenge effectively. Additionally, investing in research and development initiatives aimed at creating innovative solutions tailored to the specific needs of each community is essential. "

Let us inspire you!

Schedule a discussion with our team to learn how we can partner with you to guide your journey to a cognitive city.

Cognitive city ecosystem

Inhabitants
To engage all people, cognitive city projects should consider feasibility from a cultural and ethical perspective. The digital world created by cognitive city projects can then also include virtual residents accessing the data centre or virtual space remotely via VR experiences, as well as artificial intelligent assistants and robots created to operate digital city life. All will interact with each other, even if humans may not physically visit the city.
Industries & business ecosystem:
Global corporations and local enterprises can provide advanced technologies, research and development efforts, talent, even access to global network in the process to construct a cognitive city.​Entrepreneurs may have found ways to utilize and present the greatest results given with scarce results. Startup representatives can be encouraged to challenge traditional thinking, and they are possible spark innovated and creative ideas to a great extent.
Tourists & expats
Temporary residents include people as tourists to visit the city and people who seek careers in the city. They can also be experts to bring technology and creativity into local cognitive city constructions.​
Academia & social sectors
Institutions of higher learnings can bring incredible resources and experts into the construction of cognitive city. They can promote the processes of research and experiment to put ideas into practice and innovation.​ Non-profit organizations from social sector also devote into research and design of cognitive cities as their advance knowledge in socio aspects.​ Researches can promote both the design of future city and standard regulation.​
Politics representatives
Inputs can be from local, county, state, and federal/central levels. Governments may initiate, supervise, and promote the entire process to deploy cognitive city projects.​Also include participation from quasi-governmental agencies, such as sectoral development councils.
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