Consume of Artificial Intelligence in Geographic Information System

Abstract

Artificial Intelligence (AI) is a broad and encompassing field within Information Technology, covering a range of concepts. This research paper delves into diverse AI technologies and their applications to improve performance across various sectors. The study aims to investigate both current and future uses of Artificial Intelligence, which serves as the foundational framework for concepts such as computing, software development, and data transmission. The technologies leveraging AI include machine learning, deep learning, Natural Language Generation, speech recognition, robotics, and biometric identification. These applications span sectors such as healthcare, manufacturing, business, and automotive industries. AI offers several advantages, such as the ability to perform multiple tasks simultaneously, cost-effectiveness compared to human labour, and precision and efficiency in operations. However, the application of AI comes with its set of challenges. Technical difficulties, security concerns, data-related issues, and the potential for accidents due to user misunderstandings are among the encountered problems. Despite these challenges, the widespread adoption of AI has transformed various sectors, enhancing organizational performance and fortifying data security. A notable integration of AI is observed in Geographic Information Systems (GIS), representing a transformative fusion that elevates the capabilities and functionalities of traditional GIS. This amalgamation introduces new possibilities for data analysis, pattern recognition, and decision-making within spatial contexts. The following outlines key aspects of implementing AI in GIS: The implementation of Artificial Intelligence (AI) in Geographic Information Systems (GIS) represents a transformative integration that enhances the capabilities and functionalities of traditional GIS. This fusion opens new possibilities for data analysis, pattern recognition, and decision-making in spatial contexts. Here are key aspects of implementing AI in GIS.