Artifical Intelligence
The amount of data that companies must deal with is constantly increasing. Tools are essential for handling this ever-growing volume of information. Artificial intelligence (AI) is one such tool. The integration of AI is intended to help increase efficiency, but at the same time also improve the process of how documents are managed, searched for and used. How exactly can AI help in this context?
Process Automation
Artificial intelligence makes it possible to increase the degree of process automation by automating tasks that were previously performed manually, such as classification or archiving. Algorithms based on machine learning (ML) analyze content, categorize it and can automatically add metadata to documents. Furthermore, sensitive or personal data can be identified and protected. This reduces the processing time per document, which in turn leads to lower costs for companies.
Natural Language Processing
Searching for and analyzing documents is equally important. AI-supported tools enable users to make more complex queries. A possible example of this would be: “Find all contracts with data protection clauses from last year”. Natural Language Processing (NLP) is used to process the content of the query and compare it with the information generated by the previous processing of the documents with AI. This provides users with accurate results. It is not purely about keywords but also offers the possibility of checking compliance with legal or local requirements. In this way, AI helps to minimize risks and errors.
Knowledge Discovery
Artificial intelligence is designed to support the entire processing workflow. AI-based Document Management Systems (DMS) assist users with features such as document translation and summarization and help predict trends based on historical data. The integration of such tools is intended to enable seamless collaboration with AI and support employees regardless of language or location.
However, AI does not only have advantages. Experts warn of challenges in the areas of data protection and ethics. These issues must not be ignored and must be treated as a priority to avoid bias in AI models. Despite the challenges, the use of AI is part of digital transformation and therefore an important component of modern DMS systems. DMS systems without artificial intelligence risk falling behind in digital transformation. Companies that invest in this technology now are positioning themselves for the future.
Get in touch with us
Do you have questions about anything we have posted or would you like to find out more about our solutions?
