IMPROVING DECISION-MAKING IN URBAN ECONOMY: SOLUTIONS BASED ON ARTIFICIAL INTELLIGENCE

This article examines the possibilities of using artificial intelligencetechnologies to improve decision-making in the urban economy. According to theresults of the study, decision-making systems based on AI allow to increase theaccuracy of decisions by 22% and the speed of decision-making by 5-7 times.Practical tests conducted in the transport system of Tashkent confirm that they allowto reduce traffic congestion by 18% and increase the efficiency of public transportby 23%. The study shows that the economic efficiency of implementing AI systemsis high, estimating the payback of investments in 2.7 years.