In recent years, business organizations have experienced rapid transformations as a result of technological development and digital transformation. Knowledge has become one of the most important resources that organizations rely on to develop their operations and adapt to continuous changes in the business environment. With the emergence of artificial intelligence technologies, the way organizations manage knowledge has changed significantly. Knowledge management is no longer limited to collecting and storing information; rather, it has become an integrated digital process aimed at accessing, analyzing, sharing, and utilizing knowledge at the right time. Digital knowledge management refers to a set of processes and practices that use digital technologies to collect, organize, store, share, and utilize knowledge within an organization. These practices aim to facilitate employees’ access to the information and knowledge they need and to transform knowledge possessed by individuals into organizational knowledge that can be retained and continuously utilized. Digital knowledge management relies heavily on databases, digital platforms, cloud computing, and intelligent tools, making knowledge sharing faster and more flexible. Artificial intelligence has brought significant changes to digital knowledge management. Intelligent systems are now capable of processing large amounts of data, identifying patterns, classifying information, and extracting useful knowledge. Artificial intelligence can also be used to search for information, summarize documents, analyze content, and provide recommendations that help employees and managers access the required knowledge and make decisions more efficiently. Generative artificial intelligence is one of the modern trends that can contribute to the development of knowledge management because it can process large amounts of content and provide answers, summaries, and information quickly. Cloud computing also facilitates the storage and access of knowledge from different locations, while intelligent analytics helps transform available data into useful information that can be used to improve managerial processes. In addition, digital platforms and electronic knowledge bases provide more effective means of exchanging experiences and information among employees. Despite these developments, digital knowledge management faces several challenges. Information security and data protection are among the most important challenges, particularly as organizations increasingly rely on digital systems and electronically store large amounts of information. Data quality is another important challenge because inaccurate or outdated information can lead to inappropriate results and decisions. In addition, some organizations may face resistance from employees due to fear of technology or a lack of the digital skills required to use it effectively. The increasing reliance on artificial intelligence represents another challenge. Organizations need to achieve a balance between benefiting from intelligent systems and utilizing human expertise and judgment. Issues related to privacy, ethics, and intellectual property have also become important considerations when using artificial intelligence in knowledge management, particularly when organizations handle sensitive information or data related to employees and customers. Successful digital knowledge management requires an effective role for management by creating an organizational environment that encourages continuous learning, knowledge sharing, and the exchange of experiences among employees. Organizations also need to develop employees’ digital skills and provide appropriate technological systems, in addition to establishing clear policies for the use of artificial intelligence and the protection of data and information. Technology alone is not sufficient to achieve effective knowledge management; it must be integrated with organizational culture, human skills, and managerial practices. Digital knowledge management is expected to continue developing as artificial intelligence technologies advance. In the future, organizations may increasingly adopt more intelligent knowledge systems capable of analyzing employees’ needs and providing them with appropriate information at the right time. Organizations are also expected to increase their reliance on generative artificial intelligence, advanced analytics, and cloud computing. In light of these developments, digital knowledge management has become an important element of modern management because it helps organizations utilize their available knowledge and transform it into a resource that can be used to develop business activities and improve organizational processes. As artificial intelligence continues to evolve, organizations’ ability to manage knowledge effectively and responsibly will become increasingly important, while maintaining a balance between the capabilities provided by technology and the essential role of human expertise and capabilities.