When things start to sour in a romantic relationship, it may not always be obvious to each partner. New research shows how ...

Reactivating the human element of procurement means giving teams time to focus on strategic value. This is where agentic AI ...

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

The Asheville Police Department answers the question: does the department share data from automated license plate cameras, ...

Introduction Repeated exposure to domestic violence (DV) is common among women; however, little is known about how women’s ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

In the latest in our series identifying market opportunities for the channel, the spotlight falls on getting customers in the right place to adopt artificial intelligence.

Instead ChatGPT has become perhaps the most successful consumer product in history. In just over three years it has ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.

Learn more about eLife assessments Blood flow to the brain is a sensitive marker of neuronal activity as well as of a number of diseases, including stroke, tumours and neurodegenerative conditions.

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.