Today’s articles discuss moving analytics to the site of data collection, finding new target markets with big data, and assigning decision rights for agility with big data.
- By Quint Turner
- September 2, 2016
Your business colleagues will remember a great story, so learning to tell your team's story can win and keep your in-house customers.
- By Max T. Russell
- September 1, 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
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
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
Read these articles to learn how to manage disparate event data, bust major myths about open source software, and use improved algorithms to prevent bias.
- By Quint Turner
- August 29, 2016