Addressing Bias in Technology
Bias in technology exists. No one is arguing that. However, there are steps to take to minimize that and it starts with understanding how […]
September 2021
Supporting Your Search with Taxonomies
Enterprise search can retrieve data, both structured and unstructured, within a company. It is beneficial because it enables users to easily access organized information. An […]
Artificial Intelligence is Partnering Up
Artificial intelligence (AI) and 5G are working together like the legs of a marathon runner. Together, the two technologies have the potential to deploy […]
Making the Most of Emerging Technologies
Regardless of any skepticism, it is hard to dispute that progress in the field of artificial intelligence (AI) and machine learning has changed our […]
Using AI to Detect Fraud
Artificial intelligence (AI) continues to be deployed in many different areas and for many different applications. Brookings brought us this interesting information in their […]
Deep Learning Used in the Fight Against Cyberattacks
In traditional machine learning, the learning process is supervised, and the programmer has to be extremely specific when telling the computer what types of […]
Classifying History for Findability
Taxonomy is the science of classification – a basic means of understanding the world around us. It is also key in the act of […]
Hedging Their Bets
In the world of academia and journal publishing, duplicate submission for peer review is a huge no-no. In some cases, authors have been reprimanded […]
AI’s Future in Healthcare
A common use of artificial intelligence (AI) in healthcare involves natural language processing (NLP) applications that can understand and classify clinical documentation. But there is more […]
The Power of Data Analytics
Data management and analytics continue to become more important to all organizations, regardless of industry. It has become increasingly important to keeping government operations […]
Machine Learning and Cybersecurity
Unsupervised learning uses machine learning algorithms to analyze and cluster unlabeled datasets. These algorithms discover hidden patterns or data groupings without the need for […]
