AI Solutions For Sustainable Urban Development

🚀 Accelerating Industrial Digitalization and Intelligence: Transforming Integrated Operation Centres with Digital Twins As the Technical Director of the EU Local Digital Twin EU LDT Toolbox - Empowering Smart Cities Initiative under the European Commission, I am thrilled to share how Digital Twins are reshaping integrated operation centres, driving urban management into a new era of intelligence and efficiency. 🌍✨ Digital Twins are a convergence of groundbreaking technologies: ✅ 5G Advanced & IoVT: Real-time data collection from connected devices and video sensors. ✅ Data Spaces: Seamless integration of utilities, socio-economic stats, and human dynamics for actionable insights. ✅ AI/ML & GenAI: From event detection and predictive analysis to user-friendly reports that make data accessible to all. ✅ Geospatial Technologies: AR/VR, 3D mapping, and GeoAI enabling immersive, actionable insights. ✅ Advanced User Interfaces: Bridging technology with usability through the Citiverse. 💡 Real-World Impact: These technologies are not just concepts—they are actively transforming urban centers, we are presenting a real example in Shenzhen, China by Huawei; which is addressing: 🌳 Enhancing sustainability with smarter green coverage and air quality monitoring. 📊 Improving economic operations by integrating socio-economic data to optimize investments and retail strategies. 🎥 Boosting safety and efficiency through IoVT and real-time event detection, such as traffic violations or public safety hazards. 🛠 Driving job creation by turning AI-detected events into actionable interventions, fostering local employment. The future is here, and it’s intelligent, sustainable, and immersive. By leveraging Digital Twins, we are creating smarter, greener, and more inclusive cities. Let’s connect to explore how we can drive the digital transformation of urban spaces together! 💬 #DigitalTwins #SmartCities #IndustrialDigitalization #UrbanInnovation #TechForGood #DataSpaces #AIForCities #Libelium

Within DP World's sustainability endeavours, I've been deeply immersed in the intersection of technology and environmental consciousness, particularly in the realm of artificial intelligence (AI). The discourse around responsible and sustainable AI is not just timely but imperative in today's rapidly evolving digital landscape, especially as AI continues to grow and is poised for even greater expansion in 2024. This article aptly highlights four crucial paths that companies can take to ensure their AI initiatives align with environmental goals while driving innovation. Efficiency emerges as a central theme, urging companies to adopt specialised AI models tailored to specific use cases rather than opting for resource-intensive, general-purpose models. This approach not only minimises energy consumption but also fosters a culture of innovation by leveraging the vast potential of open-source resources. By using less data, we can better optimise AI algorithms for reduced computational overhead while still maintaining performance and achieving results. The integration of renewable energy sources into AI infrastructure represents a significant step forward in mitigating the environmental impact of AI operations. By hosting AI functions in data centers powered by renewable energy, companies can significantly reduce their carbon footprint while driving sustainable growth. However, as highlighted in the article, challenges such as tracking energy consumption and fostering transparency remain paramount. As we navigate these challenges, it's crucial to prioritise ethical considerations and long-term sustainability in AI development. For us at DP World, as we look to tap into the potential of AI, we take into consideration these sustainable approaches to ensure that our technological advancements align with our environmental objectives and foster a greener future. A concrete example is our multi-programme software suite, CARGOES, which is an AI-driven solution automating every terminal process, from staff rostering to streamlining customs inspections—an infamously arduous process. With AI managing the basics, our Jafza teams can focus on upskilling and handling specialist shipments, thereby expanding our capabilities beyond mere throughput increase. Through the integration of AI technologies like CARGOES into our operations, we not only enhance efficiency and productivity but also reduce our environmental footprint by optimising processes and resource usage. By embracing responsible AI practices and leveraging technology as a catalyst for positive change, we can create a more sustainable future where innovation and societal well-being go hand in hand. https://lnkd.in/dugjCDMq 

Unlocking the Power of GeoAI: From Raw Geospatial Data to Actionable Insights GeoAI is fundamentally changing the way we work with geospatial data. Today, artificial intelligence is not just a research topic, but a practical tool that helps us turn massive amounts of aerial imagery and lidar data into real, actionable information. By combining neural networks with proven photogrammetry and rule-based quality assurance, we can now extract detailed land cover maps, analyze urban surfaces, and even simulate urban climate with a level of precision that was unthinkable just a few years ago. One of the most exciting aspects is how GeoAI enables us to move beyond traditional mapping. With AI-powered segmentation, we can distinguish even the smallest features in urban environments and keep our data up to date. Thanks to TrueOrthos and advanced photogrammetric workflows, geometric distortions are a thing of the past, so data from different times and sensors can be perfectly aligned. This is essential for reliable change detection and multi-source analysis. But the possibilities go even further. Automated analysis of sealed and unsealed surfaces helps cities identify where to prioritize “desealing” for climate resilience. Parcel indexing allows us to aggregate key indicators like green space, building area, or solar installations at any scale, supporting truly data-driven decisions in urban planning and environmental monitoring. And with urban climate simulation, we can combine pixel-precise land cover data with 3D voxel models and CFD to visualize the effects of new trees, green roofs, or lighter pavements, before any construction begins. Even lidar point cloud classification benefits from GeoAI. By combining AI with rule-based checks and external data sources, we achieve robust, scalable, and quality-assured 3D mapping, reducing manual effort and increasing reliability, even in complex or changing environments. GeoAI is already a productive, scalable approach that is shaping the sustainable, data-driven development of our cities and landscapes. With annual updates and hybrid workflows, we ensure that results are not only precise and up to date, but also trusted and actionable. If you want to learn how to turn your geospatial data into valuable information using GeoAI, just reach out or send me a message. Let’s move from data to information, using GeoAI. 💡 Comment | Like | Share   👉 Follow me (Dr. Uwe Bacher) for more Information on exciting topics from the world of geospatial #GeoAI #Geospatial #AerialImagery #Lidar #UrbanPlanning #AI #SmartCities

In urban intersections, pollution can be a whopping 29X higher than on open roads. What if we could significantly cut this - not by building new roads - but by smarter traffic lights? 🚦🤖 I'm always exploring how technology can solve complex environmental challenges, and Google's Project Green Light is a prime example of not just this, but also solving such a common headache - getting stuck over and over at red lights! Launched in 2023, Project Green Light is rapidly expanding its reach. Announced last week, this promising initiative is now live in 18 cities across four continents, from Haifa, Israel, to Bangalore, India, and most recently, expanding to over 100 intersections in Boston. This expansion demonstrates the versatility and broad applicability of AI-driven solutions in diverse urban environments. This initiative is a powerful demonstration of how strategic sustainability can be embedded into existing urban frameworks, leveraging AI and Google Maps data to optimize traffic flow. The results are truly compelling: 🟢 Up to 30% reduction in traffic stops. Imagine the collective time and fuel saved. 🟢 Up to 10% reduction in greenhouse gas emissions at intersections. A direct win for air quality and climate action. 🟢 Impacting up to 30 million car rides monthly. A testament to its significant real-world effect. What's awesome about project Green Light is it IS NOT about replacing physical infrastructure; it's about making our CURRENT systems work smarter, faster, and greener. It underscores the profound impact that well-applied technology can have on everyday urban life and our planet's health. For cities, this offers a clear path to measurable sustainability goals without the need for expensive new hardware. Read more here - https://lnkd.in/gVwzvh5D #Sustainability #AIForGood #SmartCities #TrafficManagement #CircularEconomy

From Empty Land to subvidivisions and cities — AI Is Quietly Rewriting How We Build the World 🌍🤖 What looks like untouched land today can become a livable, resilient neighborhood in months. Not through shortcuts. Through foresight. This is the real shift AI is bringing to urban development. For decades, cities were built the same way: Design → Build → Discover problems → Fix them later. Expensive. Slow. Reactive. AI flips the sequence. Today, entire communities can be imagined, simulated, and stress-tested before the first shovel hits the ground: • Roads, transit, and mobility flows • Water, power, and waste systems • Green space and heat management • Flood, fire, and disaster risk • Population growth and infrastructure strain At the building level, AI compresses weeks of redesign into minutes: Smarter layouts. Better airflow. Higher energy efficiency. Materials chosen for cost, durability, and sustainability—not guesswork. The real breakthrough isn’t speed. It’s responsibility. Urban development is shifting from: Build → Fix → Optimize to Imagine → Simulate → Validate → Build A proverb I live by: “The best decisions are made before momentum makes them expensive.” AI isn’t replacing architects, planners, or builders. It’s augmenting their judgment, helping leaders see consequences earlier—when change is still cheap and humane. The real question isn’t can we build this way. It’s whether we’re willing to build thoughtfully, with livability and long-term impact as first principles. 👇 Would you trust a community designed this way? 🔁 Repost if foresight beats rework ✚ Follow Jerry Rassamni for leadership, systems thinking, and long-game insights 🚀 #AI #UrbanDevelopment #Leadership #SystemsThinking #Innovation #FutureOfCities #LongGame

What if your city could think for itself? What if it could proactively prevent traffic jams, optimize emergency responses, or redesign urban spaces to remain cooler amid rising temperatures? That future is quickly taking shape, according to "AI-Powered Cities of the Future," a global research study from ServiceNow. We collaborated with Deloitte, NVIDIA, and our research partner, ThoughtLab, to examine the AI plans, investments, and practices of 250 cities in 78 countries around the world. 📖 Explore the full report: https://lnkd.in/e9NMpPZV We found that 43% of large/mega cities surveyed are already deploying traditional AI. While only 12% of small cities in our survey do so today, that number will jump to 41% in three years. Meanwhile, generative AI (GenAI) is becoming a game changer, with almost nine out of 10 cities planning, piloting, or using GenAI. We expect a nearly 3x increase in the number of cities widely or selectively using GenAI over the next three years—from 18% to 59%. We identified AI leaders on every continent and discovered some truly groundbreaking use cases, from disease outbreak prediction in Chicago to water harvesting in Jaipur, India. -In Melbourne, city planners use AI-driven simulations to redesign urban landscapes, effectively mitigating the impact of rising temperatures and creating cooler public spaces. -In earthquake-prone Tokyo, a comprehensive disaster preparedness system combines sensors with predictive modeling, simulation tools, and community-based disaster management initiatives. -In Monrovia, the capital of Liberia, police and first responders use AI to detect suspicious activities, monitor crowds, and respond to emergencies swiftly. In future, we predict a new wave of urban innovation driven by agentic AI, which enables fleets of AI agents to act and interact in smart and autonomous ways. As cities become smarter, autonomous AI agents will become the driving force behind projects such as managing traffic flow, optimizing energy use, and improving public safety. Kudos to the many talented ServiceNow colleagues who pushed this beast over the finish line! Richard McGill Murphy, Paige Young, Jessica Buckley, and their 💪🏽 teams!

How Saudi Arabia is using AI to combat land degradation and drive environmental restoration: Land degradation poses one of the most pressing environmental challenges for Gulf nations, threatening biodiversity, food security, and sustainable development. However, Saudi Arabia’s innovative use of artificial intelligence is offering hope and solutions through its ambitious Saudi Green Initiative (SGI). 1️⃣ Detecting land degradation early -By harnessing satellite imagery and remote sensing technologies, AI analyzes vast datasets to detect areas at risk of land degradation. -AI-powered insights allow for early intervention and informed decisions to protect natural habitats and ensure sustainable land use. 2️⃣ Rehabilitating degraded lands -AI is guiding the SGI’s ambitious target to rehabilitate 40 million hectares of degraded land by 2030. -Using climate and soil data, AI identifies optimal tree-planting locations, ensuring the efficient use of resources and maximum environmental impact. 3️⃣ Planting 10 billion trees -AI technology is helping Saudi Arabia realize its 10 billion tree-planting goal, part of the broader effort to combat desertification, improve air quality, and restore ecosystems. With arable land making up less than 2% of the total area, Gulf nations face increasing pressure from urbanization, overgrazing, and unsustainable agricultural practices and AI models, combined with tools like digital twins and climate data analytics, predict land degradation trends and recommend effective restoration strategies. Saudi Arabia’s AI efforts align with global Sustainable Development Goals (SDGs), particularly those focused on combating climate change, protecting biodiversity, and ensuring food security. These initiatives also support the Kingdom’s Vision 2030 by promoting sustainable land and resource management. Saudi Arabia’s use of AI in land management not only addresses local challenges but also serves as a global model for tackling environmental degradation through innovation. As we face the realities of climate change, initiatives like the Saudi Green Initiative remind us that technology and nature can work hand-in-hand to build a more sustainable future. Let’s celebrate these pioneering efforts and work together toward a greener planet! 🌳 #SaudiGreenInitiative #AIForGood #LandRestoration

Green Intelligence: The AI Revolution Taking Root in Our Cities This week, I traded strategy decks for sun hats and made my way to the RHS Chelsea Flower Show — expecting floral beauty, not a masterclass in sustainability and AI. What caught my attention? The Avanade Intelligent Garden, created with Microsoft and Avanade which is anything but traditional. It’s an AI-powered urban forest that uses sensors to monitor soil health, tree growth, air quality, and weather. The goal? To help urban trees thrive — not just as decoration, but as critical infrastructure in our fight against climate change. As someone deeply invested in both technology and sustainability, this hit home. We’re entering a future where natural ecosystems and intelligent systems work together — where trees don’t just grow, they communicate, adapt, and even teach us how to design healthier cities. It reminded me that the best innovation often happens at the edges — between tech and nature, logic and intuition, science and beauty. Also: any garden that talks to the cloud (and not just about it) gets my vote. #AI #Sustainability #SmartCities #UrbanForests #ChelseaFlowerShow #ClimateTech #Innovation #GreenIntelligence