Exploring Predictive City Management with Kavan Choksi Urban management has traditionally focused on responding to problems after they emerge. Traffic congestion, equipment failures, utility disruptions, and maintenance issues were often addressed once visible signs appeared. Kavan Choksi highlights that advances in artificial intelligence are changing this dynamic by giving city leaders access to tools that can identify patterns long before challenges become apparent to the public. This shift is influencing how municipalities approach decision-making. Instead of relying solely on historical reports and periodic assessments, operators can analyze enormous volumes of data flowing from sensors, connected infrastructure, and public systems. The result is a more forward-looking approach where anticipation becomes just as important as response.  Traffic Management Is Becoming More Dynamic Anyone who has lived in a growing city understands how quickly traffic co...