AI-driven document management systems: revolutionizing information retrieval and workflow automation
Nagaraj Bhadurgatte Revanasiddappa · World Journal of Advanced Research and Reviews · 2021
AI has taken its position among the key technologies in the DMS. These systems were built to store documents and then transfer, archive, and recall them when needed. They are now becoming intelligent systems that aid in easy access and proper organization. AI-enabled DMS incorporate solutions like machine learning, NLP, and OCR to help with document classification, work on search and analysis based on content with meaning and boost safety measures for the information. This article examines how AI affects DMS, specifically across industries, finding that efficiency gains are a major plus, as well as cost savings coupled with compliance. A comparison of AI models shows the advantages and disadvantages of the solutions, which provide knowledge about the conditions of applying them. It moves towards future possibilities where blockchain, IoT, and generative AI are integrated, which is expected to expand the chances of scalability, reliability, and elasticity. Even when there are perceived limitations, such as the quality of data input and integration, AI-driven DMSs are opening up the door for organizations to be far more intelligent than they currently are. This effective survey is critical in demonstrating how AI is revolutionizing document management and setting a pace for enhanced innovation in the digital age.