What data scientists think about their jobs, fallacies new data scientists should avoid, and why you should train citizen data scientists.
- By Lindsay Stares
- October 3, 2017
Many don't fully appreciate how critical data modeling is to understanding data. Modeling doesn't delay agile application development; it helps developers plan ahead.
- By Pascal Desmarets
- October 3, 2017
To understand how AI skills differ from the needs of other programming areas, consider what your AI toolbox might contain.
- By Brian J. Dooley
- October 2, 2017
To realize the power of artificial intelligence, start with data.
- By William McKnight
- September 29, 2017
How to more effectively judge data quality, handle issues with ETL, and manage digital transformation for your enterprise.
- By Lindsay Stares
- September 28, 2017
Creating interactive visualizations in the real world, using recursive shapes to explore patterns, and the art within pi.
- By Lindsay Stares
- September 27, 2017
How machine learning trains AI, Coca-Cola uses data to improve products, and businesses will be changed by machine learning.
- By Lindsay Stares
- September 26, 2017
How can you encourage adoption of predictive analytics without executive support?
- By Fern Halper
- September 26, 2017
Business users and IT can improve their working relationships by following these rules of engagement.
- By Tapan Patel
- September 25, 2017