Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

Next, use data modeling to project probable outcomes and evaluate ideas, since facts and knowledge generated from analyzing big data provide a common ground on which we can better debate our ideas.

In recent years, knowledge graphs have become an important tool for organizing and accessing large volumes of enterprise data in diverse industries — from healthcare to industrial, to banking ...

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.

The Data Science and Modeling for Green Chemistry award aims to recognize the research and development of computational tools that guide the design of sustainable chemical processes and the execution ...