Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

In a recent installment of the International Society of Automation’s “Ask the Automation Pros” series, Erik Cornelsen, ...

Misreading churn leads to flawed CLV assumptions. Analyze retention over time and identify the customers that actually drive ...

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

Knowledge-based economies are increasingly built on data-driven intelligence rather than traditional capital or labor alone.

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

A key element to this paradigm shift is the deployment of a distributed sensor network that can continuously monitor water ...

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...

Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...

A new forensic framework designed specifically for the Internet of Things (IoT) is discussed in the International Journal of ...

Companies investing in unified, managed and rich data layers will drive innovation in the coming decade. Through these ...