Empowering Artificial Intelligence For Knowledge Management Augmentation

This study investigates the transformative potential of artificial intelligence (AI) in enhancing knowledge management (KM) systems. Organizations face challenges with vast data accumulations and fragmented knowledge silos that traditional management systems cannot efficiently address. This research highlights how knowledge capture, retrieval, and synthesis can be automated to improve organizational performance. AI in knowledge management promises to automate tedious tasks like data tagging and categorization, enhance efficiency, and save employee time. By breaking down informational silos, AI-driven systems facilitate improved collaboration across organizational and geographical boundaries. These systems also support better decision-making by providing timely and relevant insights. To integrate AI effectively, organizations must conduct thorough needs assessments to identify pain points and user preferences, select suitable AI technologies, and develop customized solutions that align with organizational workflows. Ensuring robust data privacy and offering comprehensive training programs are essential to encourage adoption and maximize the benefits of AI tools. Looking forward, the successful integration of AI into knowledge management is anticipated to herald advanced applications like AI-powered virtual assistants, predictive analytics, and augmented reality, all while navigating ethical considerations to ensure fairness and transparency. This research endeavors to unlock AI's potential, propelling organizations towards a future where knowledge management is efficient, inherently collaborative, and astutely informed, marking a significant evolution in organizational dynamics in the digital age.