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 ...

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 ...

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.

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

Enterprise MLOps principles and modern DevOps tools can help businesses build and deploy elastic models at scale.

Develop interdisciplinary skills in data science and gain knowledge of statistical analysis, data mining, and machine learning from one of the nation’s top-ranked Tier 1 research institutions.

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 ...