Content related to How Taxonomies and Ontologies Enable Explainable AI
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
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
The Role of Unified Entitlements in Getting Your Content AI Ready
AI has become the place to find answers to nearly any question. I have used the public LLMs like ChatGPT, Anthropic, and Gemini to create trip itineraries, research topics for a book I am writing, and plan social gatherings. I … 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 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
Defining Governance and Operating Models for AI Readiness of Knowledge Assets
Artificial intelligence (AI) solutions continue to capture both the attention and the budgets of many organizations. As we have previously explained, a critical factor to the success of your organization’s AI initiatives is the readiness of your content, data, and … Continue reading
Semantic Layer Strategy: The Core Components You Need for Successfully Implementing a Semantic Layer
Today’s organizations are flooded with opportunities to apply AI and advanced data experiences, but many struggle with where to focus first. Leaders are asking questions like: “Which AI use cases will bring the most value? How can we connect siloed … Continue reading
Capture as You Work: Embedding Knowledge Capture in Daily Work
Knowledge capture is most effective when it is embedded as part of your daily work, not an occasional task. But we know that it is easier said than done. Enterprise Knowledge regularly hears from our clients that: “We don’t have … Continue reading
How to Ensure Your Content is AI Ready
In 1996, Bill Gates declared “Content is King” because of its importance (and revenue generating potential) on the World Wide Web. Nearly 30 years later, content remains king, particularly when leveraged as a vital input for Enterprise AI. Having AI-ready … Continue reading