Blog Archives
Taxonomist Role in the New World of Generative AI
We have been at the forefront of implementing generative technologies to augment traditional taxonomy workflows offering new capabilities for content modeling, classification, and semantic enrichment. This raises an important question for practitioners: What are the implications of Generative AI for … 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
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
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
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
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