Classic Posts Summer – Where Are They Now
Our regular blogger is out of commission while recovering from surgery. Please enjoy this classic post, written by Margie Hlava, about some early 2000’s start-ups. Where Are They Now? May 2, 2011 – Tech companies come and go. There are always tech savvy entrepreneurs with big ideas looking to fill a need in the market…
Read MoreClassic Posts Summer – TaxoBank Adds Pasta Lover’s Thesaurus
Our regular blogger is out of commission while recovering from surgery. Please enjoy this delicious classic blog post. TaxoBank Adds Pasta Lover’s Thesaurus May 6, 2011 – One of the most recent TaxoBank entries is a description of the Pasta Lover’s Thesaurus, apparently a student project but nevertheless an informative and mouth-watering example of a straightforward hierarchical and…
Read MoreClassic Posts Summer – Information Science Works on Consistency
Our regular blogger is out of commission while recovering from surgery. Please enjoy one of our classic posts! Information Science Works on Consistency July 8, 2020 – In information science, an ontology is a formal representation of a set of concepts within a domain and the relationships between those concepts. When it comes to a specific area, like…
Read MoreClassic Posts Summer – Taxodiary: Welcome to Our Blog
Our regular blogger is out of commission while recovering from surgery. Please enjoy one of our favorite classic posts. On June 1, 2010, we launched our Taxodiary blog. Classic Posts Summer – Taxodiary: Welcome to Our Blog June 1, 2010 – After quite a bit of discussion with friends, colleagues, and staff, Access Innovations has…
Read MoreUnderstanding Semantic Search and Generative AI: Similarities and Differences
As artificial intelligence (AI) continues to evolve, two prominent technologies have emerged, each with unique capabilities and applications: semantic search and generative AI. Both have transformed how we interact with data and information, yet they operate on distinct principles and serve different purposes. This interesting topic came to us from diginomica and their article “Why…
Read MoreThe Evolving Role of Data Scientists
Traditionally, data scientists have focused on data collection, cleaning and analysis. However, with the advent of artificial intelligence (AI), much of the routine data processing tasks are being automated. This shift allows data scientists to move beyond basic data handling to more strategic roles. They are now instrumental in developing and implementing AI strategies, ensuring…
Read MoreSecuring the Online Gaming World
In the expansive virtual realms of contemporary gaming, where millions of players connect, interact and compete, the threat of cybercrime is ever-present. Malicious actors exploit vulnerabilities for personal gain, engaging in activities such as hacking, cheating, identity theft and fraud. However, as these threats become more sophisticated, so do the defenses. Emerging technologies are increasingly…
Read MoreOntologies Pave the Way
In the world of information technology, ontologies are fundamental for organizing and structuring knowledge systematically and coherently. Originally a concept from philosophy, where they pertain to the study of existence and reality, ontologies in the digital age act as formal representations of knowledge domains. They are crucial across various fields, including artificial intelligence (AI) and…
Read MoreData Governance and Classification in the World of Generative AI
In the rapidly evolving landscape of generative artificial intelligence, data is the cornerstone that fuels innovation, drives decision-making and shapes user experiences. However, the sheer volume, variety and velocity of data present unique challenges in terms of governance and classification. Effective data governance ensures that data is accurate, secure and used ethically, while data classification…
Read MoreThe Role of Data Labeling in AI and Machine Learning
In the realms of artificial intelligence (AI) and machine learning, data is often heralded as the new oil. However, raw data alone is not sufficient to train and develop effective AI models. The process of transforming this raw data into a format that machines can understand and learn from is known as data labeling. Data…
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