How AI is Changing Urban Living

Regardless of what side of the AI debate you find yourself. Truth is, AI is here, it’s evolving, and it will become a key component of everything we do in the future. You can’t stop evolution. AI presents numerous opportunities to revolutionize public transportation, paving the way for more efficient, sustainable, and user-friendly systems. Here are some of the key opportunities I’m keeping my eyes on: Optimized Routes and Schedules: AI can dynamically adjust routes and schedules based on real-time data, reducing travel times and improving punctuality. Traffic Flow Management: AI can optimize traffic signals and manage congestion, prioritizing public transportation vehicles and enhancing overall traffic flow. Predictive Maintenance: By predicting and addressing maintenance needs before failures occur, AI can reduce repair costs and extend the lifespan of vehicles and infrastructure. Energy Management: AI can optimize energy usage for electric buses and trains, leading to significant cost savings and reduced environmental impact. Real-time Surveillance: AI-powered video analysis can enhance security by detecting suspicious activities and potential threats in real-time. Incident Prediction and Prevention: AI can predict potential accidents or safety issues, allowing for proactive measures to be taken. Personalized Travel Information: AI can provide personalized travel recommendations, real-time updates, and customer support through chatbots and virtual assistants. Seamless Payment Systems: AI can facilitate smart ticketing systems with dynamic pricing and contactless payments, making the payment process smoother for passengers. Smart Resource Allocation: AI can help deploy resources more efficiently, reducing waste and improving the sustainability of transportation networks. Demand Prediction: AI can analyze patterns to forecast future transportation needs, aiding in better planning and resource allocation. Multi-modal Transport Solutions: AI can integrate various modes of transportation (e.g., buses, trains, bikes, ridesharing) into a cohesive system, providing users with seamless end-to-end travel options. Solving the last mile paradigm. Smart City Initiatives: AI in public transportation can be part of broader smart city initiatives, improving overall urban mobility and connectivity. Enhanced Analytics: AI can process vast amounts of data to provide insights and support decision-making processes for transportation authorities and operators. Performance Monitoring: Continuous monitoring and analysis of system performance can lead to ongoing improvements and innovation in public transportation.

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!

US #cities are at a crossroads, grappling with decaying #infrastructure, climate disaster, unhoused populations, and traffic gridlock. Tight budgets and growing complexities are leaving government officials scratching their heads. Enter Artificial Intelligence (#AI). And it's potential as a tool to help us address the three main categories of city challenges: 1. Streamlining city services: AI-driven chatbots and virtual agents can improve interactions with city services, cutting through red tape for the public while freeing city workers from mundane tasks. By employing natural language processing (#NLP) and other AI approaches, we can realistically make slow city service issues a thing of the past. 2. Optimizing failing infrastructure: AI can act as a vigilant guardian for our crumbling #urban #infrastructure using sensor data and computer vision tools. Early detection algorithms can identify signs of impending failure, facilitating preventative maintenance to avert minor glitches from cascading into major disruptions. 3. Responding to disasters: With natural and climate disasters on the rise, AI can facilitate real-time data exchange among emergency crews, public health agencies, and support locations. Computer #models precisely forecast #disaster impacts and generate real-time adaptive #emergency plans to address those disasters, while chatbots disseminate critical information to residents. AI has vast potential to enhance city #operations, #data insights, and #civic services. However, it must be thoughtfully applied AI; shaped by #diverse voices and human oversight, earning public trust and truly transforming our communities. I explore 20 city use cases and AI tools that can be applied, based on actual RFQs that have come out in various US cities over the last few years. It's a treasure trove for founders and a user guide for city officials trying to figure out a way to keep their residents thriving in their cities... https://lnkd.in/g_dcfiwJ