In predictive modeling, future events are predicted based on statistical analysis. Read this guide to understand how predictive modeling works and how it can benefit your business.

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.

Predictive analytics is a category of advanced data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling, data ...

Predictive models can have varying degrees of complexity, but the principle remains the same. They use known results to develop models (or train AI) to predict future values for different or new data.

Predictive analytics enables users to go beyond knowing what has happened to assess what will happen in the future.

Predictive analytics is a practical application of Artificial Intelligence that uses techniques like machine learning to analyse historical data and forecast future outcomes.

When applied as part of a structured approach, predictive modelling can provide deep process and product understanding, and can enable true, continuous process validation as envisioned by ICH ...

Applying model-predictive methods and a continuous process-control framework to a continuous tablet-manufacturing process. Currently, there is a high level of interest in the pharmaceutical industry ...