Access Insights
From Keywords to Questions: Why Taxonomy Still Matters in the Age of AI
Remember when searching meant typing three or four words into a box, scanning a page of links and trying again with slightly different words? If you knew what something was called, you had a decent shot at finding it. If you didn’t, you might spend ten minutes looking for a document that was right there…
Read MoreAI in Education: More Possibilities, More Responsibility
Artificial intelligence (AI) is finding a seat in classrooms everywhere, from elementary schools to university lecture halls. It can explain fractions, generate practice questions, suggest essay revisions and help educators plan lessons. But its growing presence raises a fundamental question: Is technology helping students learn or simply helping them finish? One promising benefit is personalized…
Read MoreAI Needs Better Data. Better Data Needs Governance.
Artificial intelligence (AI) can draft reports, identify patterns, predict demand and answer questions in seconds. But speed and sophistication cannot compensate for unreliable information. Feed an AI system outdated records, inconsistent definitions or incomplete data, and the results can be impressively wrong. Before organizations invest in smarter technology, they need to establish whether their data…
Read MoreAccess Innovations Inc. Earns Family Friendly Business Award® at the GOLD Level
Albuquerque-Based Technology Company is recognized as a committed leader in implementing family friendly policies in the workplace. Access Innovations Inc. has earned the Gold distinction for its workplace policies from Family Friendly New Mexico, a statewide initiative recognizing employers that have adopted policies to give New Mexico businesses an advantage in recruiting and retaining the…
Read MoreWhy 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…
Read MoreCards, Calculations and the Illusion of Certainty
A tarot reader turns over a card. An analyst opens a dashboard. Both face the same human question: What happens next and what should I do about it? The tools appear worlds apart, yet both translate complex, uncertain situations into structured interpretations that can guide decisions. One works through symbolic imagery and human association; the…
Read MoreAI 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…
Read MoreFollow the Data: Why Data Lineage Matters for Governance and AI
Artificial intelligence (AI) is only as reliable as the data behind it. When an AI system produces an inaccurate, biased or simply baffling result, one of the first questions should be: Where did the data come from? Data lineage helps answer that question. Data lineage is the documented journey of data throughout its lifecycle. It…
Read MoreAccess Innovations Inc. Named to KMWorld List of Trend-Setting Products for 2026
11th Year Company Has Been Recognized for Innovation in Knowledge Management Access Innovations Inc. has been named to the prestigious KM World List of Trend Setting Products for 2026. This year marks the 11th year the company has been recognized for its innovation in the knowledge management industry. “Knowledge management products continue to evolve, mainly…
Read MoreData Science and AI: Partners, Rivals or a Problem We Haven’t Fully Considered?
Data science and artificial intelligence (AI) are frequently presented as natural partners. Data science gathers, cleans and interprets information; AI uses that information to generate predictions and automate decisions. It sounds like a beautifully efficient relationship, but is it? AI cannot function effectively without data science. Models need relevant, reliable and well-governed data to learn.…
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