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 ...

Analytics: Turning data science into business strategy (Free PDF) ... "People who know how to shape and execute projects, communicate to stakeholders, and explain why the work they've done matters." ...

Did you know that over 80% of AI projects fail? That's twice the failure rate of regular IT projects. A Gartner survey found that only 48% of AI projects make it to production, and it typically ...

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 ...

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?

The Michigan Tech Data Science BS program delivers a broad-based education in data science fundamentals, data mining, ...

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 ...

Data science plays a critical role in today’s academic landscape, with growing interest from students and professors outside of the traditionally associated fields of mathematics, computer science, ...

A National Academies of Sciences, Engineering, and Medicine study will set forth a vision for the emerging discipline of data science at the undergraduate level. It will emphasize core underlying ...