The future of knowledge management involves the integration of knowledge graphs and the recognition that all forms of knowledge within an organization contribute to finding answers. This includes explicit knowledge, tacit knowledge, and structured knowledge or data. The shift towards incorporating data in the knowledge management conversation is gaining traction, as insights and understanding are based on data. Data touchpoints and a comprehensive view of data are crucial for effective knowledge management and digital transformation. In the context of AI, data assessment becomes a crucial step in developing a blueprint for AI, emphasizing the importance of understanding available data, its quality, sources, and completeness. Leveraging an organization's own data with generative AI can provide answers based on the enterprise's taxonomy and knowledge.
Enterprise Knowledge CEO Zach Wahl speaks with Jean-Claude Monney, Managing Partner and co-founder of The Monney Group, a boutique coaching and consulting company founded in 2009. Until 2017, Jean-Claude served as Chief Knowledge Officer at Microsoft Consulting Services, where he and his team re-imagined the division’s Digital Workplace knowledge management and collaboration platform on Microsoft O365 that was launched in 2014 and used as a reference model by many customers. He is currently on the advisory board of Kent State University’s School of Information for their KM master’s program.
In conversation with Zach, Jean-Claude focuses on knowledge management and its importance in decision-making and innovation. He defines knowledge management as a process loop of creating, sharing, reusing, and creating new knowledge, emphasizing the critical role it plays for companies in innovation. This episode highlights the value of implementing knowledge management practices in any work setting to improve decision quality and time to knowledge.
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