Both humanitarian aid workers and climate researchers are seeking answers in data science; meanwhile, Google is moving in on the enterprise cloud market.
- By Lindsay Stares
- March 21, 2017
Making the transition to self-service analytics can be fraught with challenges. These guidelines will help you start with a strong foundation.
- By Andrew Roman Wells, Kathy Williams Chiang
- March 21, 2017
A recent report from IDC makes some bold predictions about analytics, cognitive computing, and artificial intelligence.
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
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