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Explore the intersection of knowledge management and artificial intelligence (AI) and how AI can solve problems in the field. Learn about the use of machine learning, data science, and neural networks in knowledge and data management. Discover how AI enables knowledge management by pulling information from multiple sources and generating new content. Understand the importance of data cleaning and contextual information in successful AI implementation. See how AI impacts knowledge management by providing targeted and contextually relevant information.
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Quick takeaways
- AI in knowledge management involves delivering organizational knowledge and information in an intuitive way to address findability and discoverability.
- The use of machine learning and other techniques in AI can aggregate and make sense of large amounts of information, but still requires human intervention and context.
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AI in Knowledge Management
AI in the context of knowledge management refers to leveraging machine capabilities to solve traditional and emerging knowledge management and information management problems. It involves delivering organizational knowledge, data, content, and information in an intuitive way that aligns with how people search and interact with their data. This includes addressing findability, discoverability, and efficient use and reuse of information using machine capabilities.
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Listen to the best highlights from the podcasts you love and dive into the full episode