What might you discover if you observed your data in real-time? Listen to Wikipedia, watch global weather, and track the lights on a smart street for some inspiration.
- By Lindsay Stares
- June 21, 2017
We are headed toward a future populated with AI and machine learning, where machines take on more of the work people have traditionally done. What does that mean for the business analytics professional?
- By William McKnight
- June 20, 2017
Enterprises want to use data science and machine learning to increase their marketing ROI. One new player is a predictive account-based marketing company called Prophyts.
- By Lindsay Stares
- June 20, 2017
Avoid overhyped security solutions, encourage new software adoption, and understand the private cloud.
- By Lindsay Stares
- June 20, 2017
The data vault model and data warehouse automation are worth investigating if you are about to embark on a new data warehouse project.
- By Barry Devlin
- June 19, 2017
The prospect of chief machine learning officers, the future trends affecting data integration and cloud computing, and the problems with storing all data indiscriminately.
- By Lindsay Stares
- June 15, 2017
Migrating to the cloud can be simplified by data virtualization.
- By Ravi Shankar
- June 15, 2017
Data visualizations are a great way to look at movement over time -- whether you’re modeling animals, vehicles, or people.
- By Lindsay Stares
- June 14, 2017
Alternatives to hiring a data scientist, how data science is changing public relations, and free courses to learn about data science.
- By Lindsay Stares
- June 13, 2017