Daily Archives: October 17, 2024

Abstract-In the context of Libya’s ongoing digital transformation efforts, many sectors are still grappling with the early stages of deploying advanced technologies, particularly artificial intelligence (AI) tools. This study aims to addresses the pressing issue of AI readiness among Libyan organizations, focusing on the critical success factors that facilitate or hinder the Deployment of AI technologies. The study employs a case study methodology, collecting qualitative data through structured surveys from eighteen participants across various sectors, including education, healthcare, and finance. The findings reveal critical barriers to AI deployment, such as inadequate digital infrastructure, limited internet access, insufficient government support, and a shortage of skilled professionals. In response, a structured framework is developed, outlining essential steps for organizations to successfully integrate AI applications. This framework emphasizes the need for assessing organizational readiness, setting strategic objectives, selecting appropriate AI solutions, conducting pilot projects, implementing training programs, and fostering a culture of continuous improvement. Ultimately, this research aims to bridge the gap between the theoretical benefits of AI and the practical realities faced by Libyan organizations, providing a pathway toward a future where AI drives productivity, innovation, and informed decision-making. The insights derived from this study underscore the importance of collaboration between public and private sectors to ensure sustainable and effective AI Deployment in Libya.