Using the scientific method to enhance data science, finding the best academic data science programs, and understanding the true costs and benefits of open source.
- By Lindsay Stares
- March 16, 2017
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
Are graph databases the end-all, be-all for master data management?
- By Ben Rund
- March 14, 2017
When to expect new networking standards for IoT devices, how security vulnerabilities are reported, and why Consumer Reports is interested in cybersecurity.
- By Lindsay Stares
- March 14, 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
The logical data warehouse is not a replacement for a traditional data warehouse; it's an extension.
- By Barry Devlin
- March 9, 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