Remote Monitoring is the field of administering, following, and controlling the system or activities distantly with the aid of tools and technologies. It has a pivotal role in numerous sectors, allowing organizations and administrators for decision making without being physically present. The traditional remote monitoring methods depend considerably on manual observations using simple sensor. With the use of basic wired communication methods, the collected data was transmitted from remote locations to the central control station. These methods were laborious, susceptible to human error, and possessed insufficient real-time capabilities. The incorporation of Artificial Intelligence (AI) based techniques into remote monitoring has significantly transformed the ways in which the surveillance was conventionally performed. This chapter examines the profound impact of the technology on the domain of remote monitoring, exploring the advance methods that have enhanced the real-time effectiveness of the system in varied domains. Beginning with the description of remote monitoring and its evolution, the chapter highlights the role of AI in the process of automation of data analysis, recognizing the irregularities in data, and allowing the prediction. With the continuous advent of AI, technology has significantly impacted various sectors, ranging from remote healthcare monitoring to environmental surveillance, from security monitoring to applications in the agriculture sector, remote monitoring plays an indispensable role in modern society. The chapter further addresses the key challenges experienced during the integration of the technology for remote monitoring. Followed by a discussion on the forthcoming trends and associated future prospects.