Content related to KM Maturity Benchmark Self-Assessment
Analyzing and Optimizing Content for the Semantic Layer
As I wrote in my previous post, Adding Context to Content in the Semantic Layer, the organizational challenge of effectively generating, managing, and distributing content can be addressed by integrating content into a semantic layer. The semantic layer enriches the … Continue reading
Taxonomy and Information Architecture for the Semantic Layer
There is a growing interest in implementing a semantic layer as part of a knowledge management strategy as organizations seek to contextualize and connect their business data and information in meaningful ways. A semantic layer is more than a collection … Continue reading
Adding Context to Content in the Semantic Layer
Content is a critical organizational asset. Whether product documentation, sales and marketing materials, industry rules and regulations, employee policies, or learning materials, content forms the backbone of operations, decision-making, and end-user experiences. Organizations are challenged to generate content and structure … Continue reading
Governing a Federated Data Model
Kjerish, CC BY-SA 4.0, via Wikimedia Commons Data proliferates. Whether you are a small team or a multinational enterprise, information grows at an accelerated rate over time. As that data proliferates, you can run into issues of interoperability, duplication, and … Continue reading
Knowledge Cast – Knowledge Summit Dublin Guest Panel
In this episode of Knowledge Cast, Enterprise Knowledge CEO Zach Wahl speaks with Stephanie Barnes, Stuart French, and Rebecka Isaksson to discuss Knowledge Summit Dublin 2024. In this conversation, the group shares the panels they will be speaking at, what … Continue reading
The Role of Semantic Layers with LLMs
In today’s business landscape, Large Language Models (LLMs) are essential tools for driving innovation, streamlining operations, and unlocking new opportunities for growth. A Large Language Model, or LLM, is an advanced AI model designed to perform Natural Language Processing (NLP) … Continue reading
Semantic Layers from a Solutions Architect’s Point of View
In this Enterprise Knowledge video, Principal Consultant Urmi Majumder speaks about her technical experience with a Semantic Layer. Urmi shares her transition from conventional data management to the nuanced field of semantics, beginning her semantic career at EK. She delves … Continue reading
AI-Augmented Content Analysis to Remediate Duplicate Content
A global energy company with operations in over 60 countries began actively working to reduce their carbon emissions to achieve Net Zero by 2050. Enterprise Knowledge (EK) evaluated and refined their strategic roadmaps, which yielded a plethora of new initiatives that built on their existing efforts. Continue reading
Knowledge Cast Product Spotlight – Doug Kimball of Ontotext
Enterprise Knowledge COO, Joe Hilger, speaks with Doug Kimball, Chief Marketing Officer of Ontotext. Ontotext, known for its product GraphDB, specializes in semantic knowledge graphs, which are potent tools for structuring, representing, and sharing information through connected concepts. In their … Continue reading
Webinar: Semantic Layer Real Stories and Case Studies
In this webinar, Enterprise Knowledge’s Lulit Tesfaye, Sara Nash, Bess Schrader, and Krista Davis discuss the semantic layer real stories and case studies. Discover firsthand experiences as they share insightful stories and elaborate on projects that incorporate semantic layer components, … Continue reading