Content related to Why a Knowledge Graph is the Best Way to Upgrade Your Taxonomy
How to Design Taxonomies that Reflect Organizational Differences, For Humans and AI
One of the key steps to prepare your content and data for AI is developing taxonomies that identify, organize, and define the terms used in the organization in order to better structure and contextualize knowledge assets for use in AI … 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
Tracing the Thread: Decoding the Decision-Making Process with GraphRAG
Does your AI tool have a hard time answering complex questions? Maybe you should consider GraphRAG! During their presentation “Tracing the Thread: Decoding the Decision-Making Process with GraphRAG” at Enterprise Search & Discovery 2025, Enterprise Knowledge’s Urmi Majumder and Kaleb … 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
Semantic Layer Symposium 2025: Building a Data Marketplace at Scale — A Semantic Data Architecture
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: Knowledge Graphs Panel — The Rising Star of the Knowledge Management Toolkit
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: Using Semantics to Reduce Hallucinations and Overcome Agentic Limits – Neuro-Symbolic AI and the Promise of Agentic 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
How Taxonomies and Ontologies Enable Explainable AI
Taxonomy and ontology models are essential to unlocking the value of knowledge assets. They provide the structure needed to connect fragmented information across an organization, enabling explainable AI. As part of a broader Knowledge Intelligence (KI) strategy, these models help … Continue reading
How to Leverage LLMs for Auto-tagging & Content Enrichment
When working with organizations on key data and knowledge management initiatives, we’ve often noticed that a roadblock is the lack of quality (relevant, meaningful, or up-to-date) existing content an organization has. Stakeholders may be excited to get started with advanced … Continue reading
Knowledge Cast – Michal Bachman, CEO of GraphAware
Enterprise Knowledge COO Joe Hilger speaks with Michal Bachman, CEO at GraphAware. GraphAware provides technology and expertise for mission-critical graph analytics, and its graph-powered intelligence analysis platform — Hume — is used by democratic government agencies (law enforcement, intelligence, cybersecurity, … Continue reading