Content related to How to Implement a Semantic Layer: A Proven Operating Model
Navigating the Retirement Cliff: Challenges and Strategies for Knowledge Capture and Succession Planning
As organizations prepare for workforce retirements, knowledge management should be a key element of any effective succession planning strategy, ensuring a culture of ongoing learning and stability. This piece explores the challenges organizations face in capturing and transferring critical knowledge, … Continue reading
Defining Governance and Operating Models for AI Readiness of Knowledge Assets
Artificial intelligence (AI) solutions continue to capture both the attention and the budgets of many organizations. As we have previously explained, a critical factor to the success of your organization’s AI initiatives is the readiness of your content, data, and … Continue reading
Semantic Layer Strategy: The Core Components You Need for Successfully Implementing a Semantic Layer
Today’s organizations are flooded with opportunities to apply AI and advanced data experiences, but many struggle with where to focus first. Leaders are asking questions like: “Which AI use cases will bring the most value? How can we connect siloed … Continue reading
Capture as You Work: Embedding Knowledge Capture in Daily Work
Knowledge capture is most effective when it is embedded as part of your daily work, not an occasional task. But we know that it is easier said than done. Enterprise Knowledge regularly hears from our clients that: “We don’t have … Continue reading
How to Fill Your Knowledge Gaps to Ensure You’re AI-Ready
“If only our company knew what our company knows” has been a longstanding lament for leaders: organizations are prevented from mobilizing their knowledge and capabilities towards their strategic priorities. Similarly, being able to locate knowledge gaps in the organization, whether … Continue reading
Knowledge Cast – Daan Hannessen, Global Head of Knowledge Management at Shell – Semantic Layer Symposium Series
Enterprise Knowledge’s Lulit Tesfaye, VP of Knowledge & Data Services, speaks with Daan Hannessen, Global Head of Knowledge Management at Shell. He has over 20 years experience in Knowledge Management for large knowledge-intensive organizations in Europe, Australia, and the USA, … Continue reading
Top Ways to Get Your Content and Data Ready for AI
As artificial intelligence has quickly moved from science fiction, to pervasive internet reality, and now to standard corporate solutions, we consistently get the question, “How do I ensure my organization’s content and data are ready for AI?” Pointing your organization’s … Continue reading
Knowledge Cast – Ben Clinch, Chief Data Officer & Partner at Ortecha – Semantic Layer Symposium Series
Enterprise Knowledge’s Lulit Tesfaye, VP of Knowledge & Data Services, speaks with Ben Clinch, Chief Data Officer and Partner at Ortecha and Regional Lead Trainer for the EDM Council (EMEA/India). He is a sought-after public speaker and thought leader in … Continue reading
Data Quality and Architecture Enrichment for Insights Visualization
The Challenge A radiopharmaceutical imaging company faced challenges in monitoring patient statistics and clinical trial logistics. A lack of visibility and awareness into this data hindered conversations with leadership regarding the status of active clinical trials, ultimately putting clinical trial … Continue reading
What is a KM Operating Model and Why You Need One
As organizations race to adopt AI, implement advanced analytics, or embed new knowledge management (KM) strategies into their ways of working, the way they capture, organize, and transform knowledge becomes the foundation for success. While many organizations invest heavily in … Continue reading