Data science students receive experience in contest, example uses for big data and advanced analytics, and how machine learning may detect reasons employees leave.
- By Lindsay Stares
- October 19, 2017
Are you interested in bringing machine learning and predictive analytics to your enterprise? Many prospective users don't know where to start.
- By James E. Powell
- October 18, 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
How can you encourage adoption of predictive analytics without executive support?
- By Fern Halper
- September 26, 2017
We need to be critical of analytics insights and recognize that analytics are not absolute representations of an objective business reality.
What's behind the shift to software and service-centric operating models and solutions for enterprise security?
- By Greg Ness
- September 18, 2017
The mechanisms behind encryption, a case study for master data management, and why everyone can benefit from the cloud.
- By Lindsay Stares
- September 7, 2017
You probably have doubts about your organization's ability to build a successful machine learning practice. Focus on what you can control, and plan to learn as you go.