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 ...

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.

However, as a consulting professional in the insurance industry, I have found that traditional MLOps often fall short in accelerating business results across the data science life cycle, as they ...

Whether that’s adjusting tactics pre-match, predicting outcomes or preventing injury, data science is changing the game. The ...

Most likely, the assumptions behind your data science model or the patterns in your data did not survive the coronavirus pandemic. Here’s how to address the challenges of model drift The ...

Quality data science outputs depend on quality inputs. Data cleansing and preparing may not be exciting work, but it’s critical.

Data science models often exist on servers that are constantly online, but aren’t always running those operations, he said, so that’s why the company has a pay-per-compute pricing model ...