Although, historically, the failure rate of data science projects has been high, it doesn’t mean that your organization’s projects should meet the same fate. In order to help mitigate the factors that ...

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

eWEEK DATA POINTS: More than 85 percent of big data projects fail. A number of factors contribute to these failures, including human factors, and challenges with time, skill and impact. Here are ...

Data science needs room to experiment, but enterprise environments want everything production-ready from day one. This tension creates a massive roadblock to innovation. The Time-To-Market Challenge ...

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 ...

Instruction staff match students with projects according to preferences and skillsets required by the project. In the first three weeks, approximately half of students’ time will be spent on ...