Blog Archives
The Role of AI in the Semantic Layer
Two significant recent trends in knowledge management, artificial intelligence (AI) and the semantic layer, are reshaping the way organizations interact with their data and leverage it to derive actionable insights. Taking advantage of the interplay between AI and the semantic … 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
Expert Analysis: How Do I Get Started with a Semantic Layer? (Using Entity Resolution for Multiple Source Fusion)
The volume of information organizations have available to them is far exceeding their ability to make sense of it all. A big part of the problem is the fact that enterprise data is scattered, disconnected and represented in inconsistent forms. … Continue reading
Industry Panel: Different Applications of a Semantic Layer — Takeaways Blog
As part of our larger webinar series designed to explore the Semantic Layer’s pivotal role in modern data management and artificial intelligence, on Monday, April 22, Enterprise Knowledge hosted a webinar titled “Industry Panel: Different Applications of a Semantic Layer.” … 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
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
Generative AI for Taxonomy Creation
There is a growing awareness and appreciation for taxonomies as information and knowledge management tools. Taxonomies – structured sets of terms tagged to content – support search, information discovery, browse navigation, news alerts and feeds, content recommendation and personalization, content … Continue reading
Crowd-Sourcing Data Governance
If you don’t remember The Little Red Hen, a chicken found grain and asked the other farm animals to help throughout the journey of processing that grain. The hen asked if they would plant the seeds, help with the harvest, … Continue reading
The Top 3 Ways to Implement a Semantic Layer
Over the last decade, we have seen some of the most exciting innovations emerge within the enterprise knowledge and data management spaces. Those innovations with real staying power have proven to drive business outcomes and prioritize intuitive user engagement. Within … Continue reading
What Every CEO Needs to Know About Semantic Layers
Recently, we at Enterprise Knowledge have been talking a lot about Semantic Layers, defining what they are, and even what they aren’t. We’ve detailed the various technical components and the business value of each, presented logical diagrams, and identified many … Continue reading