Algorithms may not be as impartial as we think. Avoiding problems with algorithms will demand collaboration and novel thinking across your entire organization.
- By Barry Devlin
- May 9, 2017
Evaluating text with AI and machine learning may not be sufficient to identify "fake news."
- By Brian J. Dooley
- May 8, 2017
The benefits of various languages for machine learning, how a steel producer uses data science, and the advantages of graph database technology.
- By Lindsay Stares
- May 4, 2017
Market watcher IDC says demand for big data and analytics products is as robust as ever, but the definition of that market is quite broad.
Data visualization can help us understand how causes of death change over time and how demographic factors are correlated with gun violence.
- By Lindsay Stares
- May 3, 2017
If your enterprise needs to move to real-time analytics and incorporate the benefits of AI, these three trends are worth your attention.
- By James Mesney
- May 2, 2017
AI algorithms must be well understood if enterprises are to shield their analytics results from bias.
- By Brian J. Dooley
- May 1, 2017
IBM, SAS, RapidMiner, and KNIME lead the pack in Gartner's new "Magic Quadrant for Data Science Platforms."