Access Insights
Why Meaning Must Come Before Machines
Artificial intelligence (AI) is often described as understanding language, content or knowledge, but this description can be misleading. AI does not interpret meaning in the way humans do. It does not comprehend intent, nuance or context as lived experience. Instead, AI operates by identifying patterns and relationships within structured data. What it recognizes is not…
Read MoreWhy Controlled Vocabularies and Taxonomies Matter for Automated Indexing
As organizations increasingly rely on machine assisted and fully automated indexing, the structure behind their information becomes just as important as the content itself. Automated systems are fast and scalable, but they are only as effective as the language frameworks guiding them. Without a controlled vocabulary or a full taxonomy in place, indexing efforts risk…
Read MoreWhen Search Meets AI: Turning Content into an Asset, Not a Risk
Search and artificial intelligence (AI) are no longer separate conversations. They are deeply intertwined, shaping how organizations surface knowledge, support decisions and interact with the people they serve. As AI-powered search becomes more common, the quality of the underlying content matters more than ever. When content is properly structured, enriched and governed, AI can amplify…
Read MoreAccess Innovations Moves to Essentially Remote Operations
Access Innovations, Inc., provider of Data Harmony software solutions, has announced it has closed its physical office and moved to an essentially remote work model as part of streamlining its processes. “Our staff is happier and more productive working from home. We can better serve our clients and respond to queries faster when we do…
Read MoreWhy Data Strategy Must Evolve in an Age of Emerging Technologies
An organization’s data strategy can no longer be a static document or a back office function. It has become a living system that directly shapes innovation and long term success. As emerging technologies accelerate, data is no longer just supporting these tools. It is actively driving them, and in return, being reshaped by how those…
Read MoreAccess Innovations Science Officer Joins NISO Panel
Join Access Innovations Chief Science Officer Marjorie Hlava on Monday, February 16 at the NISO Plus 2026 conference as she and other experts explore “Keeping the Robots in Line: Provisioning Access to Content for AI Systems.” Hlava and Tony Alves, Todd A. Carpenter, Jessica Miles, PhD and Matteo Ripamonti will discuss why and how publishers, repositories,…
Read MorePredictive Analytics and Climate Intelligence in Finance and Business
Predictive analytics is becoming an increasingly important tool for finance and business as climate conditions grow more volatile and complex. By combining historical data, real time inputs and advanced statistical modeling, predictive analytics helps organizations anticipate climate related risks and opportunities with greater accuracy. This capability is particularly valuable in a global environment where weather…
Read MoreTaxonomy, Thesaurus, or Ontology? – Clearing the Confusion, Part Two
In this part of our explanation of taxonomies, thesauri, and ontologies, we will refer to them collectively as “structured vocabularies.” They are also referred to as Knowledge Organization Systems (KOS). For a field which tries to contain and streamline language we certainly have a lot of variations in the naming! Access Innovations builds structured vocabularies…
Read MorePredictive Artificial Intelligence and the Future of Search Optimization
Predictive artificial intelligence (AI) is changing the way organizations understand information and connect people to knowledge. Traditional search systems depend largely on exact keywords and static rules. Predictive AI introduces a bigger approach by analyzing patterns in user behavior, content usage and historical data. Search optimization within organizations has always been a challenge. Employees often…
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…
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