Content related to Structuring Unstructured Content: The Power of Knowledge Graphs and Content Deconstruction
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
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
Knowledge Cast – Paco Nathan, Principal DevRel Engineer at Senzing – Semantic Layer Symposium Series
Enterprise Knowledge’s Lulit Tesfaye, VP of Knowledge & Data Services, speaks with Paco Nathan, Developer Relations (DevRel) Leader for the Entity Resolved Knowledge Graph Practice at Senzing. He is a computer scientist with over 40 years of tech industry experience … 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
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
Semantic Layer for Content Discovery, Personalization, and AI Readiness
A professional association needed to improve their members’ content experiences. With tens of thousands of content assets published across 50 different websites and 5 disparate content management systems (CMSes), they struggled to coordinate a content strategy and improve content discovery. They could not keep up with the demands of managing content … Continue reading