These three ideas for leveraging data can help healthcare companies face an uphill battle with the high costs of handling overwhelming data volumes.
- By Jake Dolezal
- September 9, 2016
Traditional BI tools might be on their way out, because embedded analytics turns BI from a reactive activity into a proactive one.
- By Wayne Eckerson
- September 8, 2016
When technology historians try to pinpoint the precise period when the cloud really took off, they'd do well to focus on late July and early August of 2016.
- By Steve Swoyer
- September 7, 2016
The best place for managing the security of traditional enterprise applications is where the best resources are: at the cloud service provider.
- By Joshua Greenbaum
- September 7, 2016
These articles explain why leftover “garbage” data sets actually have value, why you should be skeptical about data lakes, and what to consider when integrating cloud computing to your enterprise.
- By Quint Turner
- September 6, 2016
How to stop employees from leaving with enterprise data, avoid seeing causal connections that aren’t there, and create better predictive models by combining diverse data.
- By Quint Turner
- September 1, 2016
DevOps addresses the challenge of engineering, deploying, and maintaining software for production use. IBM says we need something similar for advanced analytics and data science.
- By Steve Swoyer
- September 1, 2016
Amazon is one of a "Gang of Four" -- the others are Microsoft, IBM, and Google -- that control the cloud hosting market. Amazon and AWS have more than twice the share of runner-up Microsoft.
- By Steve Swoyer
- August 30, 2016