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
Slowly but surely, Microsoft is making Power BI into an extremely useful platform for advanced analysis. New improvements promise to make analysts even more productive.
- By Steve Swoyer
- August 31, 2016
Bad visualizations are everywhere: some are created for humor; some are intended to trick viewers. Are you being fooled by misleading charts?
- By Lindsay Stares
- August 31, 2016
Today’s articles explain the role of AI and machine learning in modern cybersecurity, the broad benefits of big data analytics, and a path for becoming a data scientist focused on statistics, analysis, and problem-solving.
- By Quint Turner
- August 31, 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
We often assume that data obtained from outside sources meets the same quality standards as data from our own operational systems. Unfortunately, this may not be true.
- By Mike Schiff
- August 30, 2016
An enterprise-grade, next-gen big data platform must exhibit five key capabilities and features in order to sustain innovation at the application layer.
- By Crystal Valentine
- August 29, 2016