The AI2SD Global Summit Symposium Series on Smart City and Industry revolutionizes the exploration of Artificial Intelligence (AI) and Sustainable Development within urban environments and Industry 4.0. This series convenes experts, researchers, policymakers, and industry leaders to delve into innovative AI-driven solutions addressing challenges related to urbanization, tourism, and the ongoing Industry revolution. Topics encompass sustainable infrastructure, efficient resource management, transportation, energy, environmental conservation, and advancements in industrial processes. Through presentations, panel discussions, and workshops, the symposium promotes collaboration and knowledge exchange to envision smarter, more sustainable cities and industries for the future.
5 to 7 June 2019, Waterfront Hotel, London
The AI2SD Global Summit Symposium Series on Smart City and Urbanization serves as a nexus between Artificial Intelligence (AI) technologies and sustainable urban development initiatives worldwide. This symposium is designed to offer participants a comprehensive understanding of the advancing landscape of smart city innovation, including AI-driven urban planning, blockchain applications in urban governance, digital infrastructure for smart transportation systems, and the integration of data science in urban resilience strategies. Through expert presentations and interactive discussions, the symposium aims to explore the intersection of AI and urbanization, highlighting innovative solutions for building smarter, more sustainable cities for the future.
Attendees can expect enlightening keynote speeches, stimulating panel debates, and engaging workshops exploring the diverse dimensions of Smart City and Urbanization. The AI2SD Symposium on Smart City and Urbanization serves as a landmark occasion, steering discussions on the fusion of technology and urban development, and cultivating a cooperative atmosphere for envisioning the future of Smart City initiatives.
Exploring innovative approaches to design and develop smart infrastructure, including intelligent transportation systems, energy-efficient buildings, and resilient urban landscapes.
Leveraging AI solutions to promote sustainable development goals in urban areas, such as reducing carbon emissions, improving air quality, enhancing waste management, and ensuring equitable access to resources and services.
Examining the role of data analytics and AI in optimizing urban governance, including the use of predictive analytics for decision-making, enhancing public service delivery, and promoting citizen engagement and participation.
Addressing challenges related to urban mobility and transportation through the application of AI-driven solutions, including smart traffic management, autonomous vehicles, ride-sharing platforms, and multimodal transportation systems.
Investigating the implications of digital transformation on urban environments and the potential of AI-driven technologies to create more efficient, connected, and inclusive smart cities.
Exploring how AI technologies can contribute to building resilient cities capable of mitigating and responding to natural disasters, climate change impacts, and other urban crises.