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
Avoid overhyped security solutions, encourage new software adoption, and understand the private cloud.
- By Lindsay Stares
- 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
Data in the cloud is considered secure, but that doesn't mean you're safe from these five threats.
Although 72 percent of companies are planning to deploy big data in the cloud, the migration path is not always smooth. These tips will help you avoid some common potholes.
Cloud Spanner, Google's globally distributed database, has been released. One expert says it even breaks the speed of light.
- By Steve Swoyer
- May 19, 2017