Understanding the interconnection of data through graph and semantic technology will allow us to detect complex problems and enable new use cases.
- By Carl Reed
- June 27, 2017
These five competencies are required to build a successful predictive model.
- By Fern Halper
- June 26, 2017
New info about data science salary trends, data quality and skill shortages are still a problem, and the impact of bad data on training algorithms.
- By Lindsay Stares
- June 22, 2017
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
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
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
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