What leaders need to understand about building a data science program, embracing a shift in IT’s role, and preparing for next year.
- By Lindsay Stares
- November 30, 2017
Which skills are needed, which skills are disliked, and which employees are most satisfied?
- By Lindsay Stares
- November 29, 2017
At this year's Teradata Partners conference, two central themes point to significant trends.
- By William McKnight
- November 28, 2017
How to save a failing data governance program, use machine learning to predict attacks, and better protect patient data.
- By Lindsay Stares
- November 28, 2017
MapR Converged Data Platform 6.0 adds innovations for security, database, and automated administration across all clouds.
User practices and vendor tools must adapt to the increasing presence of cloud-based IT systems.
- By Philip Russom
- November 27, 2017
Can artificial intelligence keep enterprise data safe and stay ahead of hackers' latest techniques?
- By Brian J. Dooley
- November 21, 2017
Why there are few entry-level jobs in data science, how vendors say machine learning will cleanse data, and which statistical techniques are most important in data science.
- By Lindsay Stares
- November 21, 2017