Blog Archives
What is the Difference Between a Semantic Layer and a Context Layer? When to Use a Knowledge Graph vs. a Context Graph
Before AI became part of everyday conversations, most enterprise knowledge and data projects had a somewhat straightforward goal: to create a “single source of truth.” In theory, this meant that everyone in the company could look at the same search … Continue reading
Leveraging a Semantic Layer for Research Curation and Conversational Experiences
The Challenge A global philanthropic organization focused on health programs struggled to fully leverage knowledge from semi-structured and unstructured documents. Specifically, within a health-related funding program, researchers lacked access to key qualitative data from end-user surveys and transcripts. Consequently, they … Continue reading
Building the Semantic Layer: Scaling Enterprise Intelligence at a Global Investment Firm
The Challenge A global investment firm with a $330 billion dollar portfolio and 50,000+ employees struggled with fragmented data. Investment professionals were losing critical time hunting for assets across disconnected systems. Detailed deal records were scattered as a mix of … Continue reading
Understanding the New Knowledge, Data, and AI Ecosystem: Trends in Enterprise AI Architecture
The way we consume, create, and engineer information has changed dramatically, with the last several years demonstrating a marked transformation due to Artificial Intelligence (AI). According to a recent report, Generative AI adoption has reached a tipping point, with nearly … Continue reading
Knowledge Cast – Mike Ferguson, CEO of Intelligent Business Strategies
Enterprise Knowledge’s Lulit Tesfaye, VP of Knowledge & Data Services, speaks with Mike Ferguson, CEO of Intelligent Business Strategies and Conference Chair of Big Data LDN, the largest data and analytics conference in Europe. With over 40 years of experience … Continue reading
3 Common Pain Points in Transitioning from Semantic Strategy to Implementation and How to Avoid Them
At EK, we work with many organizations that are looking to connect, standardize, and enrich knowledge assets (both structured data and unstructured content) for their enterprise through the implementation of a Semantic Layer. While traditionally, Semantic Layer implementation was in … Continue reading
Where AI is Failing Organizations Without a Semantic Layer: Lessons From the Trenches (with Case Studies)
It has been over three years since OpenAI, an artificial intelligence research company, introduced ChatGPT in November 2022. While artificial intelligence has existed for decades prior, this release and development of Generative AI (GenAI), large language models (LLMs), and their … Continue reading
Semantic Layer Symposium 2025: Takeaways and Looking Ahead at Semantic Layers and AI
In October of this year, Enterprise Knowledge held our annual Semantic Layer Symposium (SLS) in Copenhagen, Denmark, bringing together industry thought leaders, data experts, and practitioners to explore the transformative potential, and reflect on the successful implementation, of semantic layers. … Continue reading
Semantic Layer Symposium 2025: The Rising Importance of Information Science in the World of Semantic Layers and Knowledge Graphs
In October of this year, Enterprise Knowledge held our annual Semantic Layer Symposium (SLS) in Copenhagen, Denmark, bringing together industry thought leaders, data experts, and practitioners to explore the transformative potential, and reflect on the successful implementation, of semantic layers. … Continue reading
Semantic Layer Symposium 2025: Entity Resolution — Finding the Best Customers and Worst Criminals Hidden in Your Data
In October of this year, Enterprise Knowledge held our annual Semantic Layer Symposium (SLS) in Copenhagen, Denmark, bringing together industry thought leaders, data experts, and practitioners to explore the transformative potential, and reflect on the successful implementation, of semantic layers. … Continue reading