Access Insights
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…
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.…
Read MoreWho Is Governing Whom? Data Governance in the Age of AI
For years, data governance has been about control: organizations establish policies for how data is collected, stored, accessed, shared, protected and eventually retired. People create the rules, technology follows them, and governance provides the guardrails. Artificial intelligence (AI) complicates that relationship. As AI systems become embedded in search, analytics, content creation, decision support and everyday…
Read MoreBeyond the Chatbot: How Machine Learning Is Changing the Classroom
Much of the conversation about artificial intelligence (AI) in education has centered on generative AI: students using ChatGPT to write essays, teachers experimenting with AI-generated lesson plans and administrators debating where the technology belongs. But behind those highly visible applications, another form of AI has been quietly finding its place in classrooms for years: machine…
Read MoreHow Emerging Technology Is Reshaping Cloud Computing
Cloud computing has been one of the defining technologies of the digital era, giving organizations access to computing power, storage and applications without requiring them to build and maintain everything themselves. Now artificial intelligence (AI) is changing that equation again. AI is not simply another workload moving to the cloud. It is influencing how cloud…
Read MoreDeep Learning: How AI Is Expanding the Reach of Machine Intelligence
Artificial intelligence (AI) is often discussed as though it is a single technology. In reality, AI is an umbrella encompassing many approaches designed to enable computers to perform tasks that traditionally required human intelligence. Machine learning sits beneath that umbrella, and deep learning is a specialized and increasingly powerful branch of machine learning. Understanding the…
Read MoreHow AI Is Changing the Role of Taxonomists
Artificial intelligence (AI) is changing how organizations create, manage and use information and taxonomists are right in the middle of that transformation. While AI can automate portions of classification, tagging and metadata generation, it has not eliminated the need for taxonomy expertise. Instead, it is shifting the taxonomist’s role from primarily building and maintaining controlled…
Read MoreAI Isn’t the Data Problem. It’s the Spotlight.
Artificial intelligence (AI) may be dominating technology conversations, but underneath the excitement, urgency and evolving tools lies a very familiar challenge: data. AI did not create the data problem. It simply made it much harder to ignore. For years, organizations have struggled with fragmented information, inconsistent terminology, disconnected systems, weak metadata and poor governance. Those…
Read More