Utilizing Artificial Intelligence Techniques in Supporting Enterprise Content Management Systems
Abstract
This paper examines the integration of artificial intelligence (AI) in Enterprise Content Management (ECM) systems, with a focus on analyzing specific AI functionalities such as automated content categorization, intelligent metadata management, and enhanced security features in Box and M-Files. Utilizing a documentary and comparative approach, the study rigorously assesses how these leading ECM systems employ AI to not only enhance functional capabilities but also improve user engagement and streamline content management processes. Findings demonstrate that Box incorporates 29 distinct AI-supported features, while M-Files includes 27, showcasing a significant but not fully overlapping array of functionalities. This analysis provides a clearer understanding of each system's unique strengths—Box with its advanced visual search and interactive chat features, and M-Files with its robust content analysis and language detection capabilities. This study highlights the critical role of AI in modern content management, offering insights into how these technologies can be further harnessed to drive efficiency and compliance in enterprise environments.
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