Blog Archives
How to Ensure Your Data is AI Ready
Artificial intelligence has the potential to be a game-changer for organizations looking to empower their employees with data at every level. However, as business leaders look to initiate projects that incorporate data as part of their AI solutions, they frequently … 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
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
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
Using Knowledge Management to Prevent Bottlenecks and Disrupted Operations – A Case Study
The extent to which a company makes use of the collective insights and expertise that it accumulates over time—what we refer to as institutional knowledge—can significantly impact operational performance. When successfully captured and made easily accessible to employees (and to … Continue reading
When Should You Use An AI Agent? Part One: Understanding the Components and Organizational Foundations for AI Readiness
It’s been recognized for far too long that organizations spend as much as 30-40% of their time searching for or recreating information. Now, imagine a dedicated analyst who doesn’t just look for or analyze data for you but also roams … Continue reading
Auto-Classification for the Enterprise: When to Use AI vs. Semantic Models
Auto-classification is a valuable process for adding context to unstructured content. Nominally speaking, some practitioners distinguish between auto-classification (placing content into pre-defined categories from a taxonomy) and auto-tagging (assigning unstructured keywords or metadata, sometimes generated without a taxonomy). In this article, I use ‘auto-classification’ in the broader sense, encompassing both approaches. Continue reading
Breaking Down Types of Knowledge Assets and Their Impact
In their blog “What is Knowledge Asset?”, EK’s CEO Zach Wahl and Practice Lead for Semantic Design and Modeling, Sara Mae O’Brien-Scott, explored how organizations can define knowledge assets beyond just documents or data. It emphasizes that anything, from people … Continue reading
Building Your Information Shopping Mall – A Semantic Layer Guide
Imagine your organization’s data as a vast collection of goods scattered across countless individual stores, each with its own layout and labeling system. Finding exactly what you need can feel like an endless, frustrating search. This is where a semantic … Continue reading
The Semantic Exchange Webinar Series Recap
Enterprise Knowledge recently completed the first round of our new webinar series The Semantic Exchange, which offers participants an opportunity to engage in Q&A with EK’s Semantic Design thought leaders. Participants were able to engage with EK’s experts on topics … Continue reading