What are the different types of predictive modeling? Your email has been sent Predictive modeling is a type of data mining that is used in a variety of situations and industries. This process involves ...

With increasingly complex market dynamics, traditional personalization alone is no longer sufficient. Enter predictive AI ...

The rapid adoption of digital products and services has created vaster volumes of data than we’ve ever seen before. As a result, an increasing number of organizations are using big data analytics and ...

Columbia University M.P.S. in Insurance Management graduate Phil Offutt shares how AI is leveraged to find correlations and ...

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, ...

The Consumer Technology Association (CTA) has released a new artificial intelligence standard that requires model developers ...

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.

Because predictive models are built on historic data from the health care system, they reflect and can intensify long-standing racism and inequities in health care. 19 Bias in these models has been ...

The AI models, paired with standardized care pathways, can be transformative in addressing readmissions and other high-impact ...

A new model using genomic and pathological data improves prognostic accuracy for advanced NSCLC, aiding personalized treatment plans. Traditional indicators like tumor mutational burden and PD-L1 ...