From 11.5 million alloy candidates to AI-guided perovskites, this piece unpacks how materials informatics is speeding up ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

The Heisenberg uncertainty principle, which has origins in physics, "states that there is a limit to the precision with which certain pairs of physical properties of a particle, such as position and ...

In explaining a data and analytics operating model, it is helpful to understand the business context. As the consumer experience becomes increasingly digitized, companies have access to massive troves ...

Editor’s note: This is the third article in a four-part series that is part of a larger initiative the AICPA Auditing Standards Board (ASB) has undertaken to understand and support technology use in ...

Willamette's MBA concentration in management science and quantitative methods (MSQM) covers a broad range of skills in information systems and mathematical models. These skills are especially ...

Data modeling tools play an important role in business, representing how data flows through an organization. It’s important for businesses to understand what the best data modeling tools are across ...

Unlike other industries, healthcare generates not only numerical and categorical data but also large volumes of unstructured ...

Garbage in, garbage out big data analytics models demonstrate that people are just as important as data sets and algorithms If you are like me, you were pretty convinced that Secretary Clinton was ...