Artificial Intelligence (AI) plays a substantial role in knowledge management by automating and enhancing various processes related to the creation, organization, and sharing of knowledge. Here are a few of the key benefits and need for AI in knowledge management:

1. Improved knowledge discovery: AI algorithms can analyze large datasets and identify patterns or insights which could not be noticeable to humans. This can help organizations discover new knowledge and insights that can lead to improved decision-making and innovation.

2. Enhanced search capabilities: AI-powered search engines can understand user intent and deliver more relevant search results. This may save time and improve efficiency by quickly directing users to the info they need.

3. Automated content classification: AI can automatically classify and categorize content, rendering it easier to organize and find. This can include tagging content based on keywords or themes, and creating taxonomies to organize content.

4. Personalized content and recommendations: AI can personalize content and recommendations based on user preferences, behavior, and history. This assists users discover the information they need quicker and efficiently.

5. Intelligent chatbots and virtual assistants: AI-powered chatbots and virtual assistants can provide instant support to users by answering questions, providing recommendations, and guiding users to relevant information.

6. Automatic summarization and extraction: AI can automatically summarize or extract key information from documents, rendering it simpler to identify important insights.

Overall, AI in knowledge management can improve efficiency, keep your charges down, and improve the quality of knowledge sharing and collaboration. It can help organizations make better use of their knowledge resources, discover new insights, and make more informed decisions. However, it’s important to approach AI implementation carefully and ensure that it aligns with the organization’s values and goals.