Published Paper Details:

Enterprise Content Management (ECM) manages digital information throughout its lifecycle, from creation to disposal, using various systems and tools. AI can augment and transform ECM systems by providing benefits such as document classification, which automatically assigns categories and tags to content based on its content and metadata; intelligent scanning, which captures and converts paper-based and digital content into searchable and editable formats; process automation, which streamlines and optimizes workflows and tasks that involve content creation and collaboration; content recommendations, which suggest relevant and personalized content to users based on their preferences and behavior; knowledge extraction, which extracts essential information and insights from content for decision making and innovation; and content security, which protects sensitive content from unauthorized access and use. AI can also impact ECM products, such as FileNet and CMIS, by enhancing their features and functionalities. For example, FileNet can use AI to improve its document imaging, content analytics, case management, and business process management capabilities; CMIS can use AI to enable interoperability and integration among different ECM systems and platforms. AI can help organizations to manage their content more efficiently, effectively, and intelligently in the era of big data and cloud computing, where the volume, variety, and velocity of unstructured data are increasing rapidly.