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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Leveraging the Technology

Machine learning has advanced rapidly, moving from research concepts to a technology that now shapes daily life. Once limited to academic discussions, it is now embedded across industries and is transforming how organizations operate. This interesting topic came to us from Delft University of Technology in their article, “Bringing machine learning into the real world.”…

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AI Gone Wild

Artificial intelligence (AI) is changing how organizations operate, make decisions and deliver value. However, most existing governance frameworks were designed for traditional data management and risk control, not for systems that learn and evolve on their own. To manage AI responsibly, organizations must expand their governance models to include ethical oversight, transparency and accountability for…

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Preparing Students for an AI Literate Future

Colleges and universities are increasingly recognizing that artificial intelligence (AI) is no longer a specialized topic reserved for computer science majors. It is becoming a foundational literacy that touches nearly every profession. By requiring a basic level of AI understanding for incoming students, higher education institutions are helping shape a generation that is better prepared…

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New Technologies – New Workplace

We’re living in a time when the only constant is change, especially when it comes to work. As industries evolve at sound barrier-breaking speed, the old models of hiring, training and growing careers are being left behind. In their place is a new, more dynamic era driven by a growing skills gap, emerging talent and…

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Balancing Innovation and Responsibility in AI Driven Healthcare

Artificial intelligence (AI) is becoming a common feature in healthcare systems, influencing how organizations approach diagnosis, treatment planning and administrative efficiency. Its growing presence reflects a broader shift toward data informed medicine, where large volumes of information are analyzed to support clinical insight and operational improvement. Alongside these advancements comes a heightened responsibility to manage…

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When Data Becomes a Weapon

Data is the foundation of modern technology. It powers search engines, recommendation systems, financial platforms, medical tools and artificial intelligence (AI). When that data is intentionally manipulated, the technology built on it can be quietly and effectively undermined. This practice is often called data poisoning, and its impact reaches far beyond technical systems. The Register…

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It’s A Team Effort

In today’s fast-paced digital landscape, conversations about artificial intelligence (AI) often revolve around its breathtaking potential: evolutionizing industries, optimizing operations and transforming customer experiences. But amid the excitement, one critical factor is too often treated as a footnote: data governance. This interesting and important topic came to us from Bank Info Security in their article,…

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Technology, Clouds and Innovation

In today’s fast-moving digital world, innovation is more than a buzzword, it’s a necessity. And at the heart of many modern breakthroughs lies one key enabler: cloud computing. From small startups to global enterprises, the cloud is redefining what’s possible by providing flexible, scalable and cost-effective infrastructure that supports experimentation, rapid development and real-time collaboration.…

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Guardrails That Spark the Future

Innovation often carries the reputation of being fast, disruptive and untamed. Data governance is sometimes seen as its cautious and rule bound counterpart. In reality, strong data governance is one of the most powerful enablers of meaningful and sustainable innovation. Modern organizations generate and collect massive amounts of data from customers, systems, sensors and digital…

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