How the design of new technology can be inspired by animals or insects, plus comparing tree cover using image analysis.
- By Lindsay Stares
- December 6, 2017
Knowing the differences between the two technologies is more than just a matter of semantics.
- By Stan Pugsley
- December 5, 2017
How to improve your data integration, train new skills for using big data, and ensure your dashboards are effective.
- By Lindsay Stares
- December 5, 2017
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
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