The podcast delves into knowledge management's crucial role in decision-making, emphasizing the transformation of intelligence into actionable advice. Scott Leeb discusses how timely information influences decision-making and the integration of AI in enhancing legal insights. The conversation also explores navigating data management, knowledge quality, tacit knowledge sharing in virtual work environments, and the key to success in knowledge management.

In this podcast, Malcolm Hawker and Joe discuss the evolution and challenges of Master Data Management, the importance of governance in data management, and the future of data leadership. They also explore the value dilemma of data products and the potential of semantic layers in data management beyond analytics.

In this podcast, Rachad Najjar discusses creating adaptive spaces for knowledge exchange, overcoming knowledge sharing barriers, and the importance of psychological safety. They explore strategies for making tacit knowledge accessible through community engagement and technology. The conversation also delves into measuring the impact of knowledge management initiatives and emphasizes the significance of fostering a culture of knowledge sharing.

In this episode of Knowledge Cast, Enterprise Knowledge CEO Zach Wahl speaks with guests Barry Byrne, Darryl Wing, Scott Leeb, and Bill Kaplan about Knowledge Summit Dublin 2024. In this discussion, the group speaks about the creation of the event, what they will be speaking about during the conference, the future of generative AI, and what they expect to learn while attending. To learn more about Knowledge Summit, and register for the event, go to https://www.knowledgesummitdublin.com/ To learn more about Enterprise Knowledge, visit us at: ⁠⁠⁠⁠⁠⁠enterprise-knowledge.com⁠⁠⁠⁠⁠⁠. EK's Knowledge Base: ⁠⁠⁠⁠⁠⁠https://enterprise-knowledge.com/knowledge-base/⁠⁠⁠⁠⁠⁠ Contact Us: ⁠⁠⁠⁠⁠⁠https://enterprise-knowledge.com/contact-us/⁠⁠⁠⁠⁠⁠ LinkedIn: ⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/enterprise-knowledge-llc/⁠⁠⁠⁠⁠⁠ Twitter/X: ⁠⁠⁠⁠⁠⁠https://twitter.com/ekconsulting⁠⁠⁠⁠

Explore the potential of the Semantic Layer in knowledge management, including its impact on knowledge graphs, taxonomies, and content management. Discover the challenges of fragmented information and the need for customized solutions. Learn about the importance of incorporating unstructured data and taxonomies in knowledge graphs, as well as the benefits of automated tagging and taxonomy for course content. Explore the competitive advantage of data productization and unique training sets. Finally, delve into the potential of semantic layers for breaking down organizational barriers in knowledge management.

Barbara Fillip, Senior Advisor of Knowledge Management at Chemonics International, discusses the importance of understanding our knowledge habits, the possibilities of knowledge management with artificial intelligence, and challenges in moving valuable knowledge within organizations.

Matthieu Jonglez, VP of Technology at Progress, discusses how MarkLogic and Semaphore address customer needs, the importance of context with data analysis, and the future of Artificial Intelligence at Progress.

Jeff Jonas, Founder and CEO of Senzing, discusses the power of conversational search, the rise of large language models, and the future of entity resolution. They explore the benefits of using mature software in startups and how advancements in entity resolution enable more efficient and cost-effective solutions. The podcast also touches on use cases such as data fixing during customer onboarding and automated entity resolution for small to midsize companies.

EK presenters for KMWorld 2023 discuss designing enterprise taxonomy, challenges in knowledge management, advances in NLP and transformers, and what's next in search and discovery.

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.