Data Point No. 1: Lack of Resources to Execute Data Science Projects Data science is an interdisciplinary approach that involves mathematicians, statisticians, data engineering, software engineers ...

These numbers tell a clear story. Despite all the money and technology we throw at data science, most projects don't deliver real business value. Why is this happening, and how can we fix it?

UC Santa Cruz will host a data science lecture series, hold a professional development workshop, and facilitate faculty fellows programs that will explore the technical and the multidisciplinary ...

“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 ...

Capstone projects are academic semester-long experiences for students nearing graduation. Student teams complete a substantial data science project that solidifies knowledge gained in the classroom ...

Apache Spark: Best for fast, large-scale data processing Image: Apache Spark Apache Spark is an open-source, multi-language engine used for data engineering and data science. It’s known for its ...

Nino Letteriello is a data and project management leader, DAMA Award winner, WEF author, UN advisor, MIT lecturer & FIT Group co-founder. A significant percentage of data science projects continue ...