How to Ensure Your Content is AI Ready
In 1996, Bill Gates declared “Content is King” because of its importance (and revenue generating potential) on the World Wide Web. Nearly 30 years later, content remains king, particularly when leveraged as a vital input for Enterprise AI. Having AI-ready … Continue reading
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
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
How KM Leverages Semantics for AI Success
This infographic highlights how KM incorporates semantic technologies and practices across scenarios to enhance AI capabilities.
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
The Evolution of Knowledge Management & Organizational Roles: Integrating KM, Data Management, and Enterprise AI through a Semantic Layer
On June 23, 2025, at the Knowledge Summit Dublin, Lulit Tesfaye and Jess DeMay presented “The Evolution of Knowledge Management (KM) & Organizational Roles: Integrating KM, Data Management, and Enterprise AI through a Semantic Layer.” The session examined how KM … Continue reading
Sara Nash Presenting at Data Architecture Online
Sara Nash, Principal Consultant at Enterprise Knowledge, will be moderating the keynote session titled “Data Architecture for AI” at Data Architecture Online’s annual event on Wednesday, July 23rd at 11:30am EST. Through this session, attendees will gain valuable insights into … Continue reading
The Semantic Exchange: Humanitarian Foundation – SemanticRAG POC
Enterprise Knowledge is concluding the first round of our new webinar series, The Semantic Exchange. In this webinar series, we follow a Q&A style to provide participants an opportunity to engage with our semantic design experts on a variety of … Continue reading