“Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is written by Ellen Houston, managing director of ...

The most fruitful project management teams apply a programmatic approach to capturing, analyzing, and deploying data across all their activities. Fortunately for these programs, data science as an ...

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 ...

In 2018, every organization has a data strategy. But what makes a great one? Hilary Mason is the GM for Machine Learning at Cloudera. She was the Founder of Fast Forward Labs, acquired by Cloudera ...

a lack of understanding is hampering the ability of business leaders to effectively deploy data science, machine learning and artificial intelligence projects to solve business problems.

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 ...

Organizations that seek the most accurate results from their AI projects will simply have ... Or — if they really needed to — data science teams could build their own models in-house, from ...

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 ...