According to Gartner analyst Nick Heudecker, over 85% of data science projects fail. A report from Dimensional Research indicated that only 4% of companies have succeeded in deploying ML models to ...

Data science may be the hottest tool for solving business problems, but flawed projects can cause significant damage, leading decision-makers astray. Data science rarely fails to draw interest ...

This is not an easy task. A typical enterprise data science project is highly complex and requires deployment of an interdisciplinary team that involves assembling data engineers, developers ...

Frame said she receives hundreds of resumes featuring the same five class projects that everyone seems to work on for a master's degree in data science. "I don't interview those candidates -- I ...

But if this is a universal understanding, that AI empirically provides a competitive edge, why do only 13% of data science projects, or just one out of every 10, actually make it into production?

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?

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 ...

“Building Data Science Communities for Improving Student Success” is a partnership between University of California, Santa Cruz and California State University Monterey Bay. The project will be led by ...

The Johns Hopkins Data Science and AI Institute announces the launch of the Demonstration Projects funding program, aimed at accelerating the development and deployment of data science (DS) and ...