Sunderland City Profile: Frontier transformation in practice
Download the SmartCitiesWorld City Profile – Sunderland Cities everywhere are facing the same pressure: modernize infrastructure, grow the economy, and improve quality of life, without widening inequality. Sunderland offers a credible path forward. Once defined by shipbuilding and coal mining, Sunderland has spent the last four decades deliberately reinventing itself. Today, it is positioning itself as the UK’s leading smart city by investing in digital infrastructure, data, and low‑carbon innovation to drive inclusive, long‑term growth. The latest City Profile from SmartCitiesWorld captures how this strategy is being executed and why it matters for city leaders globally. A digital backbone built for outcomes, not optics Sunderland’s progress starts with a clear foundation: connectivity and data designed with purpose. Full‑fibre connectivity across the city Citywide 5G and LoRaWAN coverage A secure, cloud‑based smart city data platform Together, this stack enables real‑time visibility across transport, environment, and public services. More importantly, it shifts the city from reactive decision‑making to proactive, evidence‑led operations. The impact is measurable. Data and analytics now support: Safer, more predictable event planning Smarter traffic and mobility management Earlier environmental interventions More targeted social and health services From digital health hubs that reduce exclusion to intelligent transport pilots that cut emissions and improve safety, Sunderland is applying technology where it delivers the highest public value—not where it looks most impressive on a slide. What comes next: two opportunities to scale impact The City Profile also highlights where cities like Sunderland can go further. Two opportunities stand out. Move from smart services to predictive city operations With real‑time data already in place, the next step is predictive modeling—anticipating demand across social care, transport, energy, and public safety before pressure points emerge. Done right, this enables earlier investment decisions, lower long‑term costs, and better outcomes across services. Turn digital inclusion into a workforce engine Sunderland’s digital health hubs create a foundation for something bigger: linking access and digital skills directly to workforce development. By aligning inclusion efforts with local demand in advanced manufacturing, data, and clean energy, cities can convert access into sustained economic mobility. Why Sunderland’s approach matters Sunderland’s experience reinforces a critical point: smart city transformation is not about technology in isolation. It is about aligning infrastructure, data, governance, and community priorities around a shared vision for inclusive growth. For public‑sector leaders moving from ambition to execution, the full City Profile provides practical insight into the partnerships, operating models, and decisions behind Sunderland’s approach. It’s a useful reference for anyone looking to translate a digital‑first strategy into measurable impact—for people, place, and long‑term resilience.From AI pilots to public decisions: what it really takes to close the intelligence gap
Across the public sector, the conversation about AI has shifted. The question is no longer whether AI can generate insight—most leaders have already seen impressive pilots. The harder question is whether those insights survive the realities of government: public scrutiny, auditability, cross‑department delivery, and the need to explain decisions in plain language. That challenge was recently articulated by Sadaf Mozaffarian, writing in Smart Cities World, in the context of city‑scale AI deployments. Governments don’t need more experiments. They need decision‑ready intelligence—intelligence that can be acted on safely, governed consistently, and defended when outcomes are questioned. What’s emerging now is a more operational lens on AI adoption, one that exposes two issues many pilots quietly avoid. Decision latency is the real enemy In government, decision latency is not about slow analytics, it’s the time lost between having a signal and being able to act on it with confidence. Much of the focus in AI discussions is on accuracy, bias, or model performance. But in cities, the more damaging problem is often this latency. When data is fragmented across departments, policies live in PDFs, and institutional knowledge walks out the door at 5pm, leaders may have insight but still can’t decide fast enough. AI pilots often demonstrate answers in isolation, but they don’t reduce the friction between insight, approval, and execution. Decision‑ready intelligence directly attacks this problem. It brings together: Operational data already trusted by the organization Policy and regulatory context that constrains decisions Human checkpoints that reflect how accountability actually works The result isn’t faster answers—it’s faster decisions that stick, because they align with how governments are structured to operate. Institutional memory is infrastructure Cities invest heavily in physical infrastructure—roads, pipes, facilities—but far less deliberately in institutional memory. Yet planning rationales, inspection notes, precedent cases, and prior decisions are often what make or break today’s choices. Consider a routine enforcement or permitting decision that looks reasonable on current data, but quietly contradicts a prior settlement, a regulator’s interpretation, or a lesson learned during a past inquiry. AI systems that don’t account for this history don’t just miss context, they create risk. Decision‑ready intelligence treats institutional memory as a first‑class asset. It ensures that when AI supports a decision, it does so with: Access to relevant historical records and prior outcomes Clear lineage back to source documents and policies Logging that preserves not just what was decided, but why This is what allows governments to move faster without relearning the same lessons under audit pressure. Why this matters now Public sector AI initiatives rarely fail because of a lack of ambition. They stall because trust questions—governance, records, explainability—arrive too late. By the time leaders ask, “Can we stand behind this decision?” the system was never designed to answer. Decision‑ready intelligence flips that sequence. Governance is not bolted on after the pilot; it’s built into the operating model from the start. That’s what allows agencies to scale from a single use case to repeatable patterns across departments. A practical starting point The cities making progress aren’t trying to transform everything at once. They start small but visible: Identify one cross‑department “moment of truth” Define what must be logged, retained, and explainable Connect just enough data, policy, and work context to support that decision From there, they reuse the same patterns—governed data products, policy knowledge bases, and human‑in‑the‑loop workflows—to scale responsibly. AI in government will ultimately be judged the same way every public investment is judged: by outcomes, fairness, and public confidence. Closing the intelligence gap isn’t about smarter models. It’s about designing decision systems that reflect how governments actually work—and are held accountable. Learn more by reading Sadaf's full article: Closing the intelligence gap: how cities turn AI experiments into operational impactFrom SOP Overload to Simple Answers: Building Q&A Agents With SharePoint Online + Agent Builder
Government teams run on Standard Operating Procedures, manuals, handbooks, review instructions, HR policies, and proposal workflows. They’re essential—and everywhere. But during every Government Prompt‑a‑thon we've run this year, one theme kept repeating: "Our policies are many and finding the right answer quickly is nearly impossible." Turning SOPs into Simple Q&A Agents with M365 Copilot's Agent Builder or SharePoint Agents is possibly one of the fastest wins for public‑sector teams.A CISO's Guide to Securing AI - Securing AI for Federal, DIB, and DoW Entities
Artificial Intelligence (AI) is rapidly reshaping federal missions, defense operations, and critical infrastructure. From intelligence analysis to logistics and cyber defense, AI’s transformative power is undeniable. Yet, with great power comes great responsibility and risk.The City Leader's Dilemma: How AI Is turning urban strain into strategic advantage
Ready to transform how your city plans and operates? Download the Trend Report 2025: Planning and operating thriving cities – innovation for smarter urban living to access the complete playbook on AI-powered urban innovation, complete with case studies from Bangkok, Singapore, Barcelona, and Manchester. Urban challenges aren’t slowing down. Populations are growing, climate pressures are intensifying, and residents expect seamless services, while budgets remain flat and workforces stretch thin. Traditional approaches can’t keep pace. The good news? Cities worldwide are showing that AI and digital innovation can drive meaningful improvements. Recent studies indicate that more than half of surveyed cities are already using AI to upgrade operations, and most plan to expand adoption in the next three years. For many leaders, the question is less about whether to act and more about how to act responsibly and effectively. After studying the latest research and real-world deployments, three strategic shifts stand out, each offering a different lens on how forward-thinking city leaders are turning pressure into progress. Shift One: From Fragmented services to unified citizen experiences Residents expect seamless problem-solving, not organizational complexity. Yet many cities operate in silos, transit systems, permitting offices, 311 reporting, and community engagement often run on separate platforms. The result? Multiple apps for residents, duplicated effort for staff, and missed insights locked in departmental databases. Leading cities are breaking this pattern through unified digital platforms powered by AI. Bangkok’s Traffy Fondue: Citizens report issues like broken streetlights or flooding via a mobile interface. AI categorizes each report and routes it to the right department. By mid-2025, the platform handled nearly one million citizen reports, improving engagement and reducing administrative overhead. The outcome? Reduced administrative overhead, and something harder to measure but equally important: residents who believe their government actually listens. Buenos Aires took a similar path with "Boti," a WhatsApp chatbot that evolved from a COVID-era tool into a citywide digital assistant. Citizens report issues, ask questions, and access services through the messaging app they already use daily. Technology that meets residents where they are improves efficiency and strengthens trust, when guided by principles of transparency and fairness. Shift Two: From reactive planning to predictive foresight Traditional urban planning relies on static models: masterplans, zoning maps, historical growth trends. These tools served their purpose. But they cannot capture the complexity of future risks, extreme weather, evolving mobility patterns, or the cascading effects of a single development decision. Digital twins complement human expertise by integrating geospatial data, climate models, and policy scenarios, helping cities make smarter decisions with limited budgets. Singapore's Digital Urban Climate Twin integrates geospatial data with climate models to simulate how different policies would affect temperature and thermal comfort across neighborhoods. These tools support informed decision-making while maintaining human oversight and accountability. The result? Strategic adaptation rather than reactive firefighting. Sydney built an urban digital twin that correlates environmental conditions with traffic accidents, using machine learning to predict crash risk on specific road segments. City planners can now test interventions virtually, what happens if we lower speed limits here? Add a bike lane there? Before committing resources. Even smaller cities are finding value. Imola, Italy uses a microclimate digital twin to model heat distribution street by street, guiding decisions about where to plant trees or specify cool pavement materials. The paradigm shift is profound: instead of planning based on what happened, cities can now plan based on what's likely to happen. This is how you make smart bets with limited budgets. Shift Three: From tech adoption to governance architecture Here's where many cities stumble. They invest in flashy pilots without building the institutional structures to sustain them. The cities getting this right treat governance as a strategic asset, not a compliance burden. Singapore's Model AI Governance Framework provides practical guidelines for transparency, fairness, and human-centric design. Its AI Verify toolkit lets organizations test their systems for resilience, accountability, and bias before deployment. Barcelona takes a different but equally rigorous approach, treating municipal data as a public asset under its Data Commons program. The city's procurement strategy favors open-source solutions, preventing vendor lock-in while supporting local innovation ecosystems. Both models share a common insight: rapid innovation doesn't automatically produce equitable outcomes. Governance creates the guardrails that allow experimentation without derailment. For city leaders, this means building cross-sector governance councils, adopting clear data strategies, creating ethical AI frameworks, and investing in workforce capability. These aren't obstacles to innovation; they're the foundation that makes sustained innovation possible. The Path Forward Cities that thrive in combine strategic vision with disciplined, responsible technology use. They embed digital capabilities into decision-making, supported by robust policies and cross-department collaboration. Learn how Microsoft helps governments build tech-empowered cities and resilient infrastructure at Microsoft for government. The Smart Cities World 2025 Trend Report provides the detailed case studies, governance frameworks, and implementation roadmaps to make this real. Download your copy now and start building the city your residents deserve.AI for Personalized Government Services: Building Trust and Inclusivity in Cities
Cities today are under unprecedented pressure. Residents expect services that are fast, accessible, and tailored to their needs, yet many local governments still rely on fragmented systems and manual processes that create long queues and frustration. In a digital-first society, these gaps are no longer acceptable. Artificial intelligence (AI) offers a transformative opportunity to close them, enabling governments to deliver personalized, proactive, and inclusive citizen experiences. On December 4, Smart Cities World Connect will host a Trend Report Panel Discussion bringing together city leaders, technology experts, and public sector innovators to explore how AI can reshape the citizen experience. This virtual event will highlight practical strategies for responsible AI adoption and showcase lessons from pioneering cities worldwide. Register today: Trend Report Panel Discussion (4 Dec) Why AI Matters for Cities Urban populations are growing, budgets remain tight, and climate and social pressures are mounting. Against this backdrop, AI is emerging as a critical enabler for smarter governance. By integrating AI into service delivery, cities can: Support improved wait times through AI-powered assistants and multilingual agents. Deliver proactive services using unified data and predictive analytics. Ensure equity by extending digital access to underserved communities. Build trust through transparent governance and responsible AI deployment. These capabilities are no longer theoretical. Cities from Abu Dhabi to Singapore are already embedding AI into core operations—modernizing citizen portals, automating case management, and using digital twins to plan with foresight. The panel will explore five essential areas for AI-driven transformation: 1. Smarter Citizen Engagement AI-powered virtual assistants and chatbots can handle routine inquiries, guide residents through complex processes, and provide real-time updates—across multiple languages and platforms. This not only reduces queues but also makes services more inclusive for diverse communities. 2. Proactive, Personalized Services Unified data platforms and predictive analytics allow governments to anticipate citizen needs, whether it’s notifying residents about benefit eligibility or streamlining license renewals. By moving from reactive to proactive service delivery, cities can improve satisfaction and reduce backlogs. 3. Equity at the Core Efficiency must never come at the expense of fairness. AI-enabled systems should be designed to reach underserved populations, bridging the digital divide and ensuring that innovation benefits all residents, not just the most connected. 4. Governance and Trust Responsible AI adoption requires robust frameworks for transparency, data protection, and ethical oversight. Cities must implement clear governance models, conduct algorithmic audits, and engage communities in co-design to maintain public trust. 5. Practical Steps for Integration From piloting high-impact use cases to building cross-department governance and investing in workforce training, the discussion will outline actionable steps for scaling AI responsibly. Partnerships with industry and academia will also play a vital role in accelerating adoption. Lessons from Frontier Cities Several global examples illustrate what’s possible: Manchester City Council is advancing smart urban living through AI-driven planning and operations, using integrated data platforms and predictive analytics to optimize city services, improve sustainability, and enhance citizen engagement across transport, housing, and community programs Abu Dhabi’s TAMM platform, powered by Microsoft Azure OpenAI, delivers nearly 950 government services through a single digital hub, simplifying processes and enabling personalized interactions. Singapore’s Virtual Singapore project uses AI and digital twins to simulate urban scenarios, helping planners make evidence-based decisions on mobility, safety, and climate resilience. Bangkok’s Traffy Fondue civic platform leverages AI to categorize citizen reports and route them to the right department, reducing administrative overhead and improving response times. These cases demonstrate that AI is not just a tool for efficiency, it’s a catalyst for inclusion, resilience, and trust. What Attendees Will Gain By joining the December 4 session, city leaders will leave with: A clear understanding of AI’s transformative potential for improving citizen satisfaction and reducing service backlogs. Real-world examples of successful deployments in citizen portals, case management, and service automation. Insights into ethical and regulatory considerations critical to building trust in personalized government services. Guidance on preparing organizations to adopt and scale AI effectively. Looking Ahead Cities that thrive in the coming decade will be those that combine strategic vision with disciplined, trustworthy use of technology. AI can help governments deliver services that are smarter, more inclusive, and more responsive to the needs of every resident, but success depends on strong governance, cross-sector collaboration, and a commitment to equity. To learn more and register for the Trend Report Panel Discussion on December 4.Your city agent speaks 100 languages. But does It understand you?
For many residents, interacting with city services feels like a frustrating experience. Forms are confusing. Wait times are long. And often, it feels like no one is truly listening. Now imagine a city services agent that speaks your language and understands your needs. Some cities already have one. But the real question is not whether they can do it. It is whether they should. SmartCitiesWorld has published a new trend report titled “AI for Personalised Government Services – Reimagining Citizen Experiences.” The report includes case studies from Derby, Amarillo, Jakarta, and Tampere. It offers frameworks for data governance, staff training, and building public trust with AI. Download the full report today to explore how leading cities are transforming service delivery with responsible AI. And join us at Smart City Expo World Congress in Barcelona from November 4 to 6 to see these innovations in action. Visit Microsoft at Hall 3, Stand D51 to experience how AI is helping cities listen better, serve smarter, and build trust with every interaction. Cities Are Using AI to Improve Public Services Around the world, cities are using artificial intelligence to make public services faster, simpler, and more accessible. These are not experimental pilots. These are live systems serving residents every day. In Derby, United Kingdom, AI assistants handle more than half a million calls each year. This allows city staff to focus on complex cases that require human judgment and empathy. Routine questions are answered instantly. Human expertise is reserved for situations that need it most. In Amarillo, Texas, the city built an AI assistant named Emma. Emma speaks one hundred languages. In just one year, Emma helped the city save 1.8 million dollars in operational costs. More importantly, Emma helped residents who previously struggled to access services due to language barriers. In Jakarta, the JAKI platform connects services across departments. It reminds residents when permits need renewal. It sends alerts about tax payments. It links systems that used to operate in isolation. These cities are not chasing technology for its own sake. They are using it to serve more people, more effectively. The Technical Challenge: Old Systems Meet New Tools Most city systems were built decades ago. They do not communicate with each other. One department may not know what another already knows about the same resident. Artificial intelligence can bridge these gaps. But only if cities implement it carefully. Tampere, Finland shows how to do it right. The city redesigns services with residents, not just for them. It uses digital twin technology to test changes before rollout. It gathers feedback from actual users, including children and older adults. This approach takes more time. But it delivers better results. Services work for the people who actually use them. Why Thoughtful Planning Makes AI More Effective As cities explore the potential of AI to improve public services, it is important to recognize that successful implementation depends on careful preparation. While the technology offers powerful capabilities, its impact depends on how well it is integrated into existing systems and aligned with community needs. There are a few common challenges that cities may encounter during deployment: Data quality: AI systems rely on accurate and representative data. If the data is incomplete or biased, the system may produce inconsistent or unfair outcomes. Addressing data gaps early helps ensure more reliable performance. System integration: Many city platforms were built decades ago and operate in silos. Introducing AI without addressing these legacy issues can limit its effectiveness. A thoughtful integration strategy helps AI enhance, not just accelerate, existing processes. Public trust: Residents need to feel confident that AI systems are fair, transparent, and accountable. When mistakes happen, clear communication and responsive support are essential to maintaining trust. These challenges are not roadblocks, they are opportunities to build stronger, more inclusive systems. Cities that take time to plan, test, and engage with residents early are better positioned to deliver meaningful results. Building Trust Through Transparency AI is only as effective as the trust behind it. If an algorithm denies benefits incorrectly, who takes responsibility? If a translation system misunderstands a request, how does the city fix it? Camden, United Kingdom created a Data Charter in plain language. Residents helped write it. The charter explains how the city collects data, who can access it, and how it checks for bias in algorithms. This is not just good governance. It is necessary design. Residents will not use systems they do not trust. The charter includes regular audits. Independent reviewers check AI decisions for patterns of discrimination. If the system treats one neighborhood differently than another, the city investigates immediately. Other cities need similar frameworks. Trust requires transparency. Transparency requires clear communication. Making AI Work for All Residents AI allows cities to personalize services at scale. But personalization must include everyone. Language accessibility is essential. Residents should interact with city services in their preferred language. Emma in Amarillo proves this works. Translation should be automatic, not an extra step. Interface design matters too. Simple layouts help residents with limited digital skills. Clear labels support residents with cognitive disabilities. Audio options assist those with vision impairments. Human support remains critical. AI cannot handle every situation. Complex cases need human judgment. Emotional situations need human empathy. Cities must provide easy ways to reach actual staff. South Cambridgeshire routes 27 percent of inquiries through AI. This frees human staff to focus on the remaining 73 percent that need personal attention. The result is faster resolution for routine questions and better support for difficult cases. What Success Looks Like Cities that succeed with AI share common traits. They focus on outcomes, not features. They measure impact on residents, not just cost savings. Successful cities start small. They test one service before expanding. They collect feedback continuously. They adjust based on what residents actually need. They train staff properly. AI changes how employees work. Staff need time to adapt. They need clear guidance on when to use AI and when to intervene personally. They also maintain alternatives. Not every resident wants to use AI. Phone lines remain open. In-person services continue. Digital tools supplement existing services rather than replace them. The Path Forward for Your City AI will not fix broken systems automatically. It requires careful planning, thoughtful implementation, and ongoing evaluation. Start by identifying one service that frustrates residents. Map the current process. Find the delays and confusion points. Determine if AI can solve those specific problems. Involve residents early. Ask what they need. Test prototypes with actual users. Listen to criticism. Revise based on feedback. Build transparency into the system from the beginning. Explain how AI makes decisions. Create clear paths for appealing those decisions. Assign human accountability for AI outcomes. Train your staff before launch. Help them understand how AI changes their role. Give them tools to override AI when necessary. Recognize that technology serves people, not the other way around. When city services start to feel personal, residents spend less time navigating bureaucracy. Staff spend more time solving real problems. And trust in public institutions grows stronger. Learn From Cities That Succeeded SmartCitiesWorld has published a new trend report titled “AI for Personalised Government Services – Reimagining Citizen Experiences.” The report includes case studies from Derby, Amarillo, Jakarta, and Tampere. It offers frameworks for data governance, staff training, and building public trust with AI. Download the full report today to explore how leading cities are transforming service delivery with responsible AI.Transforming Emergency Response: How AI is reshaping public safety
Brand new released Smart City Trend Report: Discover how AI is transforming emergency response and public safety in cities worldwide. In an era of escalating climate events, urban complexity, and rising public expectations, emergency response systems are under pressure like never before. From wildfires and floods to public health crises and infrastructure failures, cities must respond faster, smarter, and more collaboratively. The newly released Transform Emergency Response Trend Report offers a compelling roadmap for how artificial intelligence (AI) is helping cities meet these challenges head-on, by modernizing operations, improving situational awareness, and building resilient, resident-centered safety ecosystems. As Dave Williams, Director of Global Public Safety and Justice at Microsoft, puts it: AI models are increasingly embedded in public safety workflows to enhance both anticipation and real-time awareness. Predictive analytics are used to forecast crime hotspots, traffic incidents, and natural disasters by analyzing historical and real-time data, enabling proactive resource deployment and faster response times. This transformation is not theoretical, it’s happening now. And at the upcoming Smart City Expo World Congress in Barcelona, November 4–6, Microsoft and leading technology innovators will showcase how AI is driving real-world impact across emergency services, law enforcement, and city operations. Government AI Transformation in Action: Oklahoma City Fire Department: Digitizing Operations for Faster Response Serving over 700,000 residents, the Oklahoma City Fire Department (OKCFD) faced mounting challenges due to outdated, paper-based workflows. From rig inspections to fuel logging, manual processes slowed response times and increased risk. Partnering with AgreeYa Solutions and leveraging Microsoft Power Platform, OKCFD built 15+ custom mobile-first apps to digitize core operations. The results were transformative: Helped drive a 40% reduction in manual tasks Real-time dashboards for leadership visibility Improved data accuracy and faster emergency response This modernization not only boosted internal efficiency but also strengthened community trust by ensuring timely, reliable service delivery. North Wales Fire and Rescue Service: Empowering Remote Teams with Secure Access With 44 stations and a mix of full-time and on-call firefighters, North Wales Fire and Rescue Service (NWFRS) needed a better way to support staff across a wide geographic area. Their legacy on-premises systems limited remote access to critical data. By deploying a SharePoint-based intranet integrated with Microsoft 365 tools, NWFRS enabled secure, mobile access to documents, forms, and departmental updates. Improved communication and workflow efficiency Reduced travel time for on-call staff Enhanced compliance and data security This shift empowered firefighters to stay informed and prepared—no matter where they were. San Francisco Police Department: Real-Time Vehicle Recovery Reporting Managing thousands of stolen vehicle cases annually, the San Francisco Police Department (SFPD) struggled with a slow, manual reporting process that delayed updates and eroded public trust. Using Microsoft Power Apps, SFPD built RESTVOS (Returning Stolen Vehicle to Owner System), allowing officers to update vehicle status in real time from the field. Helped reduce reporting time from 2 hours to 2 minutes Supported 500 officer hours saved per month Improved resident experience and reduced mistaken stops This digital leap not only streamlined operations but also reinforced transparency and accountability. Join Us in Barcelona: See Emergency Response in Action At Smart City Expo World Congress 2025, Microsoft and our AI transformations partners will showcase emergency response AI transformation with immersive demos, theater sessions, and roundtable discussions. Transform Emergency Response will be a central focus, showcasing how AI, cloud platforms, and agentic solutions are enabling cities to: Modernize emergency operation centers Enable real-time situational awareness Foster community engagement and trust Featured AI demos from innovative partners: 3AM Innovations Disaster Tech PRATUS Sentient Hubs Tomorrow.io Unified Emergency Response with Microsoft Fabric and Copilot These solutions are not just about technology, they’re about outcomes. They help cities cut response times, improve coordination, and build public trust. Why This Matters Now As Dave Williams emphasizes, the future of emergency response is not just faster, it’s smarter and more resilient: Modern emergency response increasingly relies on unified data platforms that integrate inputs from IoT sensors, satellite imagery, social media, and agency databases. AI-powered analytics systems synthesize this data to support real-time decision-making and resource allocation across agencies. Cities must also invest in governance frameworks, ethical AI policies, and inclusive design to ensure these technologies serve all residents fairly. Let’s Connect Whether you’re a city CIO, emergency services leader, or public safety innovator, we invite you to join us at Smart City Expo World Congress in Barcelona, November 4–6. Explore how Microsoft and its partners are helping cities transform emergency response, and build safer, more resilient communities. Visit our booth at Hall 3, Stand #3D51, attend our theater sessions, and see demos from AI transformation partners delivering demos on Transform Emergency Response. Together, we can reimagine public safety for the challenges of today and the possibilities of tomorrow.
