Knowledge Cast by Enterprise Knowledge

Sanjeev Mohan, a leading data expert, joins Malcolm Hawker and Lulit Tesfaye, a specialist in data and business applications, to discuss the significance of the semantic layer. They explore how this layer enhances data accuracy, particularly in AI and ML contexts. The conversation highlights its role as a bridge between technical data and business applications, emphasizing the need for organizations to adopt it. Real-world applications from companies like Deutsche Telecom showcase its practical benefits, paving the way for improved data management strategies.

Marco Marcoccia, Director of Knowledge Management at Turner Fleischer, brings a wealth of experience from the architecture sector. He discusses the nuances of knowledge management and the importance of both explicit and tacit knowledge. Marco shares insights on how data integration enhances decision-making and the evolution of his career toward KM. He also highlights the need for a culture that promotes feedback and knowledge sharing, and the role of AI in this process, all while emphasizing the value of human interaction in knowledge management.

Sana Remekie, the CEO and Co-founder of Conscia.ai, discusses innovative solutions that transform enterprise technology. She shares insights on how their low/no-code Digital Experience Orchestration layer seamlessly integrates legacy and modern systems. The conversation highlights the importance of bridging knowledge gaps to overcome data silos, along with real-world examples of enhancing content management. They also delve into the future of knowledge management and the critical role of AI governance in ensuring data accuracy and consistency.

Stephanie Barnes, Stuart French, and Rebecka Isaksson discuss knowledge management at the Knowledge Summit Dublin event. They explore the impact of generative AI, the role of tacit knowledge, and the importance of human expertise in the era of advanced technologies.

Doug Kimball, CMO of Ontotext, discusses the significance of semantic knowledge graphs for knowledge management, interconnection of information silos, digital twins, semantic layers in data management, and the future of knowledge management technologies.

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.