A webinar on 29 October will explore how connected data and artificial intelligence can help local governments become more citizen-first, resilience-ready and responsive. Organisers say the session will show how AI, edge computing and computer vision can turn growing volumes of urban data into smarter, faster decisions and more responsive services.

Key facts

• The webinar takes place on 29 October and focuses on AI for citizen-first, resilience-ready local governments.
• Topics include connected data, citizen engagement, breaking down departmental silos and faster, better-informed decisions.
• AI, edge computing and computer vision are highlighted as tools to help cities manage growing volumes of urban data.
• Cities face combined pressures from climate change, infrastructure resilience and digital transformation.
• A major smart city summit in 2026 will gather urban leaders and partners during London Climate Action Week.
• Malaysia is positioning itself as a leader in AI-powered urban innovation through the first Southeast Asian smart city exposition in Kuala Lumpur.
• Singapore continues to build its reputation as one of the world's smartest nations.
• Sunderland is repositioning itself as a leading smart city through digital infrastructure and low-carbon innovation.
• A podcast conversation with Professor Jung Hoon Lee examines how AI is moving from pilots to real-world impact in cities worldwide.
• Professor Lee also discusses the latest Global Smart City Index, the emerging AI super gap between cities, and the need for data platforms, AI-ready infrastructure and effective governance.
• Smart sensor networks can improve indoor safety by detecting risks early, improving situational awareness and supporting healthier, more secure and sustainable buildings.
• A senior urban solutions executive explains how urban AI applications are evolving, with projects already making significant impact.
• A trend report panel discussion on 20 October focuses on cognitive cities and smarter, more responsive urban systems.
• Editorial newsletters gather the latest news, city interviews, special reports and guest opinions.

Why citizen-first AI matters now

Local governments are being asked to do more with less while responding to increasingly complex urban challenges. Residents expect digital services that are easy to use, transparent and responsive. At the same time, councils must manage ageing infrastructure, climate risks, housing pressures, transport congestion and public health concerns. Artificial intelligence is not a silver bullet, but when it is designed around citizen needs it can help authorities prioritise resources, detect problems earlier and deliver services more equitably.

The citizen-first approach means starting with the people who use public services rather than with the technology itself. That requires careful attention to accessibility, data privacy, language diversity and digital exclusion. It also means building trust by explaining how automated systems reach decisions and by preserving human oversight in areas that affect rights, safety and wellbeing. The upcoming webinar will examine how connected data can support that goal without creating new barriers for residents.

Breaking down departmental silos with connected data

Many cities hold valuable data in separate systems owned by different departments. Transport, housing, waste, planning, social care and emergency services often collect information in incompatible formats and under different governance rules. These silos slow down decision-making and make it difficult to see the whole picture. Connected data platforms aim to change that by creating common standards, shared permissions and interoperable tools.

When data is connected responsibly, a city can spot patterns that would otherwise remain hidden. For example, combining weather forecasts, drainage data and traffic flows can help predict flooding hotspots. Linking housing, health and social care records can improve support for vulnerable residents. Bringing together energy, building and transport data can reveal opportunities to cut emissions. The key is to design these systems around clear public benefit, strong privacy safeguards and accountable governance.

Edge computing and computer vision in urban settings

Edge computing moves data processing closer to where it is generated, whether that is a traffic camera, a sensor in a public building or a connected streetlight. This reduces latency, lowers bandwidth costs and can improve privacy because less raw data needs to be sent to a central cloud. For local governments, edge computing can enable real-time responses to changing conditions, such as adjusting traffic signals during an incident or alerting staff to a safety risk.

Computer vision adds another layer by helping systems interpret images and video. It can be used to monitor pedestrian flows, detect potholes, identify overheating equipment or support emergency response. However, the use of cameras and automated analysis raises serious questions about surveillance, bias and consent. The webinar is expected to explore how cities can deploy these tools in ways that are transparent, proportionate and aligned with community expectations.

Climate resilience and infrastructure pressure

Climate change is amplifying the risks that cities already face. Heatwaves, flooding, storms and coastal erosion can damage infrastructure, disrupt services and harm residents. Local governments are therefore looking for resilience-ready systems that can anticipate shocks, adapt in real time and recover quickly. AI can help by modelling climate scenarios, prioritising maintenance and coordinating responses across agencies.

Resilience is not only about physical infrastructure. It also depends on social systems, data systems and governance. A city that can share information quickly across departments is better prepared for emergencies. A city that understands which neighbourhoods are most vulnerable can target support more effectively. A city that invests in AI-ready infrastructure can avoid locking itself into fragmented pilots that never scale. These themes will run through the 2026 summit during London Climate Action Week, where urban leaders and partners are expected to discuss how strategy becomes practical action.

Malaysia and Southeast Asia's AI-powered urban innovation

Malaysia is aiming to lead the way in AI-powered urban innovation. The first Southeast Asian smart city exposition in Kuala Lumpur is expected to showcase projects that use data, automation and digital services to improve city life. The event reflects a broader regional push to apply AI to transport, energy, public safety and urban planning. Southeast Asia's fast-growing cities face rapid urbanisation, congestion and climate vulnerability, making innovation both urgent and commercially attractive.

For local governments in the region, the challenge is to move beyond isolated pilots. Successful programmes usually require strong political leadership, clear data standards, skills development and partnerships with universities and industry. They also need to engage residents early so that new technologies reflect local needs rather than imported assumptions. The Kuala Lumpur exposition is likely to highlight both the opportunities and the governance questions that come with AI-driven urbanism.

Singapore and Sunderland: contrasting smart city journeys

Singapore is an island city-state that has built a global reputation as one of the smartest nations in the world. Its approach combines long-term planning, digital identity, sensors, open data and strong public institutions. The city-state has used technology to improve transport, water management, public housing and health services. Its experience shows that smart city success depends as much on governance and trust as on sensors and software.

Sunderland offers a different perspective. The city is repositioning itself as a leading smart city by using digital infrastructure and low-carbon innovation to build a resilient, future-focused economy. Its journey highlights how smaller cities can attract investment, create jobs and improve services by focusing on sustainability and connectivity. Together, Singapore and Sunderland illustrate that there is no single smart city model. Context, scale and local priorities shape what works.

The AI super gap and the need for governance

Professor Jung Hoon Lee has warned of an emerging AI super gap between cities that can capture the benefits of artificial intelligence and those that risk falling further behind. The gap is not only about funding. It also reflects differences in data infrastructure, digital skills, institutional capacity and political commitment. Cities with strong data platforms, AI-ready infrastructure and effective governance are better placed to turn pilots into lasting public value.

Professor Lee's discussion of the latest Global Smart City Index highlights how rankings can reveal strengths and weaknesses but cannot capture every local reality. The next phase of urban innovation depends on building foundations: interoperable data, secure cloud and edge systems, ethical frameworks, procurement reform and workforce development. Without those foundations, AI projects can remain small, fragmented and difficult to sustain.

From pilots to real-world impact

A podcast conversation with Professor Lee explores how AI is moving from pilots to real-world impact in cities worldwide. Many early smart city projects focused on proof of concept. The harder task is to embed successful tools into everyday operations, budgets and accountability structures. That means measuring outcomes, training staff, engaging residents and learning from failure.

Real-world impact can include shorter response times for repairs, more reliable public transport, better energy efficiency in buildings and more targeted social services. But impact must be assessed against public value, not just efficiency. Cities need to ask who benefits, who bears the risk and how decisions can be challenged. These questions are central to the citizen-first agenda.

Smart sensors and indoor safety

Smart sensor networks can improve indoor safety by detecting risks early, improving situational awareness and supporting healthier, more secure and sustainable buildings. Sensors can monitor air quality, temperature, humidity, occupancy, smoke, vibration and energy use. When connected to analytics platforms, they can trigger alerts, adjust ventilation, guide evacuations or schedule maintenance before a failure occurs.

For local governments, indoor safety matters in schools, hospitals, libraries, offices, social housing and transport hubs. The COVID-19 pandemic highlighted how important indoor air quality is for public health. Climate change adds further pressure, with heatwaves and wildfire smoke affecting buildings. Sensor networks can help facility managers respond quickly, but they also require cybersecurity, data protection and clear rules about what is monitored and why.

How urban AI applications are evolving

A senior urban solutions executive has explained how urban AI applications are set to evolve. Early uses often focused on automation and monitoring. The next wave is likely to combine generative AI, digital twins, edge intelligence and robotics to support more adaptive city operations. Projects already making significant impact include predictive maintenance, intelligent transport systems, energy optimisation and public safety analytics.

The executive's message is that technology alone is not enough. Cities need integrated platforms, skilled teams and close collaboration between public and private partners. They also need to procure AI in ways that protect public interest, avoid vendor lock-in and keep critical infrastructure secure.

Cognitive cities and responsive urban systems

A trend report panel discussion on 20 October will focus on cognitive cities: urban systems that can sense, learn and respond more intelligently. The concept brings together AI, IoT, data analytics and human-centred design. A cognitive city is not a city run by machines. It is a city where technology helps people make better decisions, anticipate problems and coordinate action across services.

The panel is expected to examine how cities can build smarter, more responsive urban systems while maintaining democratic oversight. It will also consider the skills, standards and infrastructure needed to scale cognitive city approaches beyond isolated experiments. As local governments confront climate, demographic and fiscal pressures, the ability to learn and adapt may become one of the most important measures of resilience.

Source:Smart Cities World News