Content related to Modern Methods for Managing Data Security
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
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.
Webinar: Semantic Graphs in Action – Bridging LPG and RDF Frameworks
As organizations increasingly prioritize linked data capabilities to connect information across the enterprise, selecting the right graph framework to leverage has become more important than ever. In this webinar, graph technology experts from Enterprise Knowledge Elliott Risch, James Egan, David … 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
LLM Solutions PoC to Production: From RAGs to Riches (Part 1)
In the past year, many of the organizations EK has partnered with have been developing Large Language Model (LLM) based Proof-of-Concepts (PoCs). These projects are often pushed for by an enthusiastic IT Team, or internal initiative – with the low … Continue reading
Maturing Data Processes at a Decentralized Federal Organization
A large government agency sought EK’s help in addressing significant data management challenges they were facing. The agency had a decentralized organizational structure and a complex technical ecosystem, which created unique challenges for remote employees in finding, accessing, and sharing critical data at the time of need. These challenges resulted … Continue reading
Optimizing Historical Knowledge Retrieval: Leveraging an LLM for Content Cleanup
Enterprise Knowledge (EK) recently worked with a Federally Funded Research and Development Center (FFRDC) that was having difficulty retrieving relevant content in a large volume of archival scientific papers. Researchers were burdened with excessive search times and the potential for knowledge loss … Continue reading