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 ...

Recent advancements in technology, data availability and changing consumer preferences have opened new opportunities for insurers to leverage data and insights. This allows them to enhance ...

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

“One Model’s people analytics product roadmap will be expanded to solve problems for a diverse array of data science, analyst, people manager and C-level audiences, delivering tailored content ...

The course provides an overview of data analysis tasks and the associated challenges, spanning data preprocessing, model building, model evaluation, and visualization. The major areas of machine ...

With most other data science platforms, data scientists are required to create, monitor and update labels on an ongoing basis. With Pecan, labels are created based on the specific use case.

Data science is growing up fast. Over the past five years companies have invested billions to get the most-talented data scientists to set up shop, amass zettabytes of material, and run it through ...

“If your competitors are applying AI, and they’re finding insight that allow them to accelerate, they’re going to peel away really, really quickly,” Deborah Leff, CTO for data science and ...

Technology companies are launching data science platforms of widely varying complexity. Some claim their tools are so simple they will make “citizen data scientists” out of folks with little ...

DeepSeek R1 vs OpenAI o1: A detailed analysis of AI tools for data science. Learn which model suits your needs for efficiency and precision.