Access Insights
The Skills That Matter in an AI-Driven World
Artificial intelligence (AI) is changing the skills organizations need, but succeeding in an AI-driven world requires more than knowing how to use the latest AI tool. As AI becomes embedded in search, analytics, automation and decision-making, the most valuable skills will be those that help machines understand, organize and retrieve information accurately. That starts with…
Read MoreThe Science Behind AI Conversations
Ask an artificial intelligence (AI) a question and the response can feel remarkably human. It may be thoughtful, funny, empathetic or even sound like it understands your personality. Continue the conversation long enough and the experience can become surprisingly personal. So, who or what are you actually talking to? The short answer is a large…
Read MoreAccess Innovations Inc. Named to KMWorld 100 Companies Empowering Intelligent Knowledge Management 2026
Access Innovations Inc. has been named to the prestigious KM World AI 100 Companies Empowering Intelligent Knowledge Management 2026. “This year’s KMWorld AI100 list demonstrates AI’s growing footprint across KM platforms and services,” said Marydee Ojala, Editor-in-Chief, KMWorld magazine. She added, “While AI holds the promise of radically transforming KM, human oversight takes on intensified responsibilities for…
Read MoreReinforcement Learning: Teaching AI to Make Better Decisions
Artificial intelligence (AI) systems do not automatically know what constitutes a good answer. They must learn. One of the most powerful approaches for teaching AI how to improve its behavior is reinforcement learning. Reinforcement learning is a machine learning technique in which an AI system learns through trial and error. Rather than being explicitly told…
Read MoreMachine Learning vs. Deep Learning: Why Taxonomies Matter More Than Ever
Artificial intelligence (AI) often feels like a collection of buzzwords. Terms like machine learning, deep learning and generative AI are frequently used interchangeably, even though they describe different technologies. Understanding the distinction between machine learning and deep learning is important not only for selecting the right tools but also for preparing the data and knowledge…
Read MoreAccess Innovations Inc. Releases Full Web Version of Award-Winning Data Harmony Software Suite and Announces Version 3.18 Updates
Access Innovations, Inc. has announced the release of DH Web, the first fully web-supported version of its award-winning software, Data Harmony, as well Version 3.18 of the software. DH Web has several features designed to make it seamless to use. Its top navigation provides more workspace and is easier to navigate. Intuitive, active icons link directly…
Read MoreAI and the Historical Promise of Technology: Why This Time Might Be Different
For centuries, new technologies have followed a familiar pattern: they disrupt existing jobs, create new opportunities and ultimately expand the workforce in ways few could have predicted. The Industrial Revolution eliminated many forms of manual labor while creating factories, engineering professions, transportation networks and entirely new industries. Mechanization reduced the need for agricultural workers but…
Read MorePreparing Content for AI: The Foundation of Trustworthy Intelligence
Artificial intelligence (AI) is only as good as the information it can access. While much of the broader conversation focuses on powerful models, advanced algorithms and ever-expanding capabilities, the real differentiator lies elsewhere: the quality of the content feeding those systems. Organizations eager to leverage AI frequently discover that their greatest challenge is not selecting…
Read MoreThe Missing Ingredient in the Race to AI
The race to artificial intelligence (AI) is often framed as a competition for faster models, bigger computing environments and more sophisticated algorithms. Organizations invest in machine learning platforms, large language models (LLMs) and automation tools, hoping to gain some advantage. Yet, one critical factor is often overlooked: data accountability. AI systems are only as trustworthy…
Read MoreSemantic Search and the Preservation of Scholarly Intent
For decades, academic publishing has focused on creating authoritative, peer-reviewed content designed to advance knowledge. Yet, as discovery increasingly depends on artificial intelligence (AI) and semantic search systems, a new challenge has emerged: ensuring that scholarly intent survives machine interpretation. Semantic search differs from traditional keyword search by attempting to understand meaning rather than simply…
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