What’s the most eaten candy in the office, how data goals are related to visual organization, and which data visualization trends are more than just pretty pictures.
- By Lindsay Stares
- March 15, 2017
Financial services can benefit from the many competitive use cases enabled by artificial intelligence and machine learning, but adoption has been slow.
- By Brian J. Dooley
- March 13, 2017
O'Connell spoke recently about his work "at the confluence of analytics software and customers' business problems" and what he sees as the future of AI solutions.
- By James E. Powell
- March 10, 2017
Data availability for the visually impaired, good cloud security practices, and SQL’s importance for data science.
- By Lindsay Stares
- March 9, 2017
How do you tell a good quantitative story? According to Angela Bassa, it's at once a straightforward enterprise and a methodological minefield.
- By Steve Swoyer
- March 9, 2017
These visualizations demonstrate the effect of shadows on city streets, the difference between tourist and non-tourist photos, and the dangers of extreme photos.
- By Lindsay Stares
- March 8, 2017
Data scientist Claudia Perlich explains why we must use machine learning and predictive technologies ethically, responsibly, and mindfully.
- By Steve Swoyer
- March 8, 2017
In order to use advanced analytics insights, we must identify and control for our biases. In all likelihood, we're going to be surprised by what we find.