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.
New regulations for self-driving cars, a survey about developing AI, and how to foster a stronger culture for big data.
- By Lindsay Stares
- September 12, 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.