As cities worldwide continue to urbanize at an unprecedented rate, they encounter mounting challenges related to infrastructure, environmental sustainability, and governance. This chapter examines how technological innovations—such as artificial intelligence (AI), the Internet of Things (IoT), and big data analytics—offer resilient urban strategies to address these complex issues. By analyzing a range of global case studies, the research highlights both the successes and limitations of implementing technology-driven solutions in urban resilience planning. The study adopts a comparative approach, exploring diverse applications of technology, including Singapore’s AI-driven traffic management system, Amsterdam’s IoT-based waste management, and Tokyo’s disaster response systems. Special attention is given to Delhi’s Intelligent Traffic Management System (ITMS) as a case study to illustrate the practical application of smart technologies in traffic optimization and pollution control. While technological advancements present opportunities for urban governance, challenges such as digital divides, financial constraints, and institutional resistance hinder their large-scale adoption. The chapter argues that technology alone cannot solve urban resilience challenges; rather, its integration within inclusive policy frameworks and public–private collaborations is crucial for ensuring sustainability and equity. The study concludes by proposing a strategic roadmap for cities to leverage emerging technologies for resilience-building while addressing socio-economic disparities and governance barriers. By fostering data-driven decision-making, adaptive policies, and citizen engagement, urban centers can harness technology to create sustainable and resilient urban futures.