Chief Data Scientist at Reorg, a global provider of credit intelligence, data and analytics, and Adjunct at UVA’s School of Data Science. Text data is one of the largest forms of unstructured ...

Data science models are typically trained to identify prominent recurring patterns in data. It is common, however, for a data set to have outliers or anomalies.

A new study finds that few companies are “model-driven” in deploying data science despite the business advantages of doing so.

Forget about being “data driven.” What you really want to be is “model driven,” according to the CEO of Domino Data Lab, which today unveiled its new vision for elevating the predictive model as the ...

In enterprise data-science projects, data scientists and model developers have to explain how their models behave, the stability and the key variables that are driving the prediction model.

Organizations should prepare themselves by putting in place a flexible data science function that can continuously build, update, and deploy models to represent an ever-evolving reality.

NASA has launched Surya, its new heliophysics artificial intelligence foundation model to empower solar scientists with tools ...