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
Visualizations illustrate the effect of helmet laws, the difference in worker’s compensation policies, and where to hide from digital ghosts.
- By Lindsay Stares
- October 18, 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
You can avoid common challenges associated with creating a C-level data office by partnering with both IT and business leaders on three critical tasks.
- By Suresh Venkateswaran
- October 17, 2017
Detecting threats to mobile devices, analyzing unstructured data for security use, and augmenting human cybersecurity with AI and machine learning.
- By Lindsay Stares
- October 17, 2017
You need these best practices to define the data lake and its methods.
- By Philip Russom
- October 16, 2017
Driving innovation in cloud management, new solutions deliver on the needs and wants of modern IT teams.
Don’t overcomplicate your analytics. Sometimes the simplest analysis is the best.
- By Scott McKinney
- October 12, 2017