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
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
Read about four popular machine learning algorithms, advice for successful data stewardship, and the advantages of NoSQL databases.
- By Lindsay Stares
- October 12, 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
To realize the power of artificial intelligence, start with data.
- By William McKnight
- September 29, 2017
How machine learning trains AI, Coca-Cola uses data to improve products, and businesses will be changed by machine learning.
- By Lindsay Stares
- September 26, 2017
Writing a chief data officer job description, using AI to follow privacy regulations, and keeping database standards useful through regular revision.
- By Lindsay Stares
- September 21, 2017
We need to be critical of analytics insights and recognize that analytics are not absolute representations of an objective business reality.