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Better Data, Better Results
We’ve all been there. You’re trying to find something on a website or internal system with no success. Endless scrolling, wrong search results, total frustration. If your customers or teams can’t find what they need quickly, they’re not going to stick around. That’s where a custom taxonomy can shine. Solutions Review brought us this interesting…
Read MoreUnderstanding the Risks of Artificial Intelligence Data Manipulation
Artificial intelligence (AI) is becoming a central part of daily decision making. As its influence grows, the quality and reliability of the data that supports it are increasingly important. A significant challenge facing this technology is the intentional corruption of training information, commonly referred to as AI data poisoning. This topic came to us from…
Read MoreThe Perfect Balance
Data can be, well, overwhelming. But the real challenge? Making sense of it all in a way that actually sets the organization forward. This interesting topic came to us from Silicon ANGLE in their article, “Metadata is the glue: federated data silos, metadata and governance.” That’s where metadata comes in. It’s not just “data about…
Read MoreArtificial Intelligence and the Evolution of Data Analysis
Artificial intelligence (AI) is influencing how organizations analyze and interpret information by introducing systems that can recognize patterns and generate insights without constant human instruction. Traditional analytical approaches were primarily dependent on predefined queries and manual interpretation, which limited the scale and speed at which data could be evaluated. AI-based analytics shifts this model by…
Read MoreWorkplace Innovation and Technology
Workplaces across industries are experiencing significant change as technology advances and expectations evolve. Traditional methods of hiring, training and career development are no longer sufficient in addressing the demands of a fast-moving economy. Instead, organizations are entering a new era shaped by a widening skills gap, emerging talent pools and rapid innovation. This interesting topic…
Read MoreMarching Through the Data Gauntlet
When companies commit to major digitalization efforts and invest in cutting-edge technologies, i.e. artificial intelligence (AI), automation, cloud platforms, advanced analytics, they’re essentially declaring their intent to become data-driven. Whether it’s improving transactional efficiency or gaining sharper business intelligence, the goal is the same: harness data to make smarter, faster decisions. Information Week brought this…
Read MoreTaxonomy, 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…
Read MoreLeveraging 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.”…
Read MoreAI 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…
Read MorePreparing 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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