There are a few different types of predictive modeling. Find out what makes each unique and how you can use them in your data projects.

Inaccurate or overlooked alerts on manufacturing data can be reduced with proper data handling when developing and deploying predictive models. Data analytics, and specifically predictive analytics, ...

Consumer confidence in driving hydrogen-fueled vehicles could be improved by having station operators adopt a predictive model that helps them anticipate maintenance needs, according to researchers.

Researchers at Fraunhofer Institute for Solar Energy Systems in Germany developed a predictive model for light and elevated temperature induced degradation in gallium-doped silicon wafer that includes ...

As predictive models proliferate, providers and decision makers require accessible information to guide their use. Preventing and combating bias must also be priorities in model development and in ...

Generative AI may dazzle, but predictive AI is the real game-changer for hiring, promotions and workforce planning.

Predictive analysis models commonly used in higher education may have a bias against learners from some racial and ethnic minorities based on limited data sets and other systemic inequities.