Enhancing AI Effectiveness with Taxonomies and Knowledge Graphs

Enhancing AI Effectiveness with Taxonomies and Knowledge Graphs

Modern AI systems are only as effective as the information they consume. Unfortunately, much of that information is messy. Taxonomies and other structured knowledge models have long helped organizations make sense of complex data. When paired with data management tools, they support everything from content discovery and analytics to personalization, integration, and lifecycle governance of …

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a CDO must combine technical expertise and business acumen to create powerful strategy, alignment, and transformation. A photo showing a victorious chess match.

The Strategic CDO: Four Success Factors for Data Leadership

The role of Chief Data Officer (CDO) has evolved. No longer just a technical steward of data assets, today’s CDO is a strategic architect of business value. As enterprises recognize data as both a competitive advantage and a risk factor, the CDO operates at the crossroads of technology, business strategy, and organizational change. This is …

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Future-Proofing Your Organization’s Taxonomy With a Governance Plan

Change is inevitable. The way your organization structures and manages information today won’t be the same five years from now or even next year. But without a strong governance plan, even the best-designed taxonomies can become disorganized, inefficient, or misaligned with business needs. In this webinar, Paula Little & Connor Cantrell cut through the complexity …

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Ontologies connect objects to one another in a web-like structure

Ontology 101: What It Is, Why It Matters, and How to Use It

What if your data could connect itself? Imagine a system that stores information and understands how it all fits together. That’s the power of an ontology. What Is an Ontology? In Information Science, an ontology is a structured framework for representing knowledge within a domain. More simply, it connects objects and concepts through defined relationships, …

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AI Integration and aligning AI approaches for taxonomy and tagging

Aligning A.I. Approaches for Taxonomy & Tagging – Intentional Integration

As the AI rush began, many companies raced to integrate AI into their products to stay competitive. Unfortunately, this “AI for AI’s sake” mindset often led to poor implementations and subpar outcomes. But there’s a better way forward. Hosted by Factor Taxonomist Erik Lee, this webinar offers a practical guide to integrating AI intentionally and …

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how to fix data silos

How Data Silos Impact Business Decision-Making

Data silos, which are effectively isolated data repositories within an organization, are one of the most common data management problems. They create barriers to information sharing and information use in general, hindering business performance by adding friction to collaboration, decision-making, and business operations. This sand in the gears of business processes is so common that …

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A snapshot of an AI workflow modeled in Langflow, an open tool for moderating LLM-system workflows. Image source: Langflow Docs.

Checking In on the State of Linked Data at the Dawn of RAG

A snapshot of an AI workflow modeled in Langflow, an open tool for moderating LLM-system workflows. Image source: Langflow Docs. As Information Architects, it has been fascinating watching our collective understanding of generative AI improve over the last few years, myself included. Openly accessible models*, frameworks and datasets, available via Ollama and Huggingface, have enabled …

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