As artificial intelligence (AI) reshapes urban services, cities worldwide are recognizing that successful AI deployment hinges on robust data foundations. The SmartCitiesWorld Summit 2026 featured an on-demand webinar titled 'Preparing for AI: Understanding the Data Groundwork with Sunderland,' which delved into the strategic steps cities must take to harness AI effectively. This article summarizes key insights from that session, examining how Sunderland is repositioning itself as a leading smart city and what other municipalities can learn from its approach.
The Data Foundation for AI in Cities
AI's potential to improve public services—from traffic management to energy efficiency—depends on the quality, accessibility, and governance of data. Without a solid data groundwork, algorithms can produce unreliable or biased outcomes. The webinar emphasized that cities must first invest in digital infrastructure, such as fiber networks, IoT sensors, and cloud platforms, to collect and process data at scale. Additionally, establishing clear data standards and interoperability protocols ensures that different systems can communicate seamlessly.
Sunderland serves as a prime example. The city is leveraging digital infrastructure and low-carbon innovation to build a resilient, future-focused economy. By integrating data from transport, energy, and public services, Sunderland aims to create a holistic view of urban operations. This data ecosystem supports AI applications like predictive maintenance of streetlights and real-time traffic optimization.
Strategic Procurement as a Tool for Resilience
Sam Markey, Founder of Recurve, argued during the webinar that strategic procurement is one of cities' most underused tools for building resilience, local capacity, and long-term climate impact. By designing procurement contracts that prioritize data sharing and interoperability, cities can ensure that AI solutions are not locked into proprietary systems. Markey emphasized that procurement should be seen as an opportunity to embed data governance requirements and incentivize vendors to adopt open standards.
This approach aligns with Sunderland's strategy. The city has partnered with technology providers that commit to data transparency and allow integration with existing platforms. Such procurement practices reduce the risk of vendor lock-in and enable cities to adapt their AI systems as needs evolve.
Digital Twins and AI as the Intelligent Operating Layer
Another key theme from the webinar was the role of digital twins—virtual replicas of physical assets—combined with AI to create an intelligent operating layer for cities. Digital twins enable real-time simulation and analysis, helping city managers test interventions before implementation. For example, a digital twin of Sunderland's energy grid could model the impact of adding renewable sources or demand-response programs, optimizing for cost and carbon reduction.
AI algorithms enhance digital twins by identifying patterns and predicting future states. The webinar highlighted Dublin's innovations in digital twin projects, traffic reduction, and economic growth. Dublin has used digital twins to simulate traffic flows and test congestion pricing schemes, resulting in reduced emissions and improved mobility. These case studies illustrate how cities can move beyond static data dashboards to dynamic, AI-driven decision-making.
Energy Systems and Local Authority Shaping
Energy management is a critical area where AI and data come together. The webinar featured a discussion on how energy systems can be shaped by local authorities through renewables, flexibility, storage, and smarter networks. Sunderland is investing in low-carbon energy generation, including solar farms and battery storage, to reduce dependence on fossil fuels and enhance grid resilience. AI helps balance supply and demand by forecasting renewable output and adjusting consumption patterns in real time.
By integrating energy data with other urban systems, cities can optimize overall resource use. For instance, smart streetlights can dim when no activity is detected, saving electricity, while sensors monitor air quality and feed data into health models. This systems thinking approach—connecting people, data, infrastructure, and investment into coherent place-based strategies—was a central theme of the SmartCitiesWorld Summit 2026.
Transportation and AI: Data Readiness
Transport agencies are among the most active adopters of AI, using it to improve services, reduce congestion, and enhance safety. However, as Microsoft's Katherine Flesh noted, the greatest opportunities depend on strong data foundations, workforce readiness, and responsible governance. Cities must ensure that transport data is accurate, timely, and ethically used. Sunderland is developing a mobility data hub that aggregates information from buses, trains, bikes, and taxis, enabling AI to provide seamless journey planning and dynamic routing.
The webinar also touched on the workforce aspect: cities need to train staff to work with data and AI tools, fostering a culture of data literacy. Without skilled personnel, even the best technology can underperform. Sunderland has launched training programs for city employees and partnered with universities to build a talent pipeline.
Cybersecurity in the Age of Smart Lighting
Smart lighting is a rapidly growing area where AI meets city infrastructure. The 'Cities Thriving on Lighting' podcast series, highlighted during the webinar, explores how cities are turning existing streetlight networks into secure, interoperable, and future-proof infrastructure. As lighting systems become connected and intelligent, cybersecurity risks increase. The webinar emphasized that data groundwork must include robust security protocols to protect against attacks that could disrupt critical services.
Sunderland's smart lighting project includes end-to-end encryption, regular security audits, and collaboration with cybersecurity experts. This proactive approach ensures that the benefits of AI-enabled lighting—such as energy savings, adaptive brightness, and emergency response integration—are not compromised by vulnerabilities.
Climate Finance and Resilient Infrastructure
The path to AI-enabled cities also intersects with climate resilience. The webinar discussed how cities can leverage AI to model climate impacts and prioritize investments in resilient infrastructure. For example, AI can analyze historical weather data and predict flood risks, helping cities design drainage systems and green spaces that mitigate damage. Sunderland is using AI to optimize its green infrastructure investments, from rain gardens to permeable pavements, ensuring that each project delivers maximum climate benefit per dollar spent.
Access to climate finance is crucial. The summit highlighted innovative funding mechanisms, such as green bonds and public-private partnerships, that cities can use to finance data and AI projects. Sunderland has established a climate investment fund that prioritizes projects with strong data foundations and measurable outcomes.
In summary, the webinar 'Preparing for AI: Understanding the Data Groundwork with Sunderland' provided a comprehensive roadmap for cities embarking on AI adoption. By focusing on data infrastructure, strategic procurement, digital twins, energy integration, transport readiness, cybersecurity, and climate finance, cities can build the foundation needed to harness AI's transformative potential. Sunderland's journey serves as an inspiring example of how to turn data groundwork into tangible benefits for residents and the environment.
Source: Smart Cities World News