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." ...

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 ...

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 ...

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?

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, ...

Here’s a rundown of some of the best newer or lesser-known data science projects available for Python. Some, like Polars, are getting more attention than before but still deserve wider notice.

It captures a wealth of wisdom for applied annotation projects, collected from more than 30 experienced annotation project managers from different teams in Bloomberg’s Global Data department ...