Why Ontology Matters More Than Ever

Artificial intelligence (AI) can write reports, summarize meetings and answer questions with impressive confidence. What it cannot reliably do on its own is determine exactly what your organization means by every word it uses. When “partner” means five different things across three departments, even sophisticated AI has a problem. It may simply deliver that problem…

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AI Didn’t Replace Taxonomies – It Made Them More Useful

Every few years, a new technology arrives and someone declares an older discipline dead. With artificial intelligence (AI), taxonomies have become a frequent target. Why spend time organizing information into agreed-upon categories when a model can read a document, identify its subject and answer a question in seconds? It is a reasonable question. AI can…

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Why AI Makes a Data Strategy More Important Than Ever

Artificial intelligence (AI) may be changing what organizations can do with data, but it hasn’t changed one fundamental truth: AI is only as effective as the data behind it. That makes a strong data strategy more important than ever. This interesting topic came to us from Dataversity in their article, “Your Data Strategy Isn’t Ready…

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Taxonomy, Thesaurus, or Ontology? – Clearing the Confusion, Part One

Should your organization use a thesaurus, taxonomy, or ontology to make its information assets searchable and retrievable? Let’s talk about the differences. A taxonomy is a system of classifying and organizing data into a hierarchical structure based on shared characteristics. The NISO Z39.19 standard defines a taxonomy as “a collection of controlled vocabulary terms organized…

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