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
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
Today learn how you can create more value by curating your data, what even small businesses with small amounts of data can learn from big data trends, and what characterizes someone prone to be skeptical of the hype around big data and analytics.
- By Quint Turner
- August 26, 2016
Read the steps to creating a data-driven culture, how successful marketing analytics creates customer value with big data, and how to adopt a well-managed analytics program.
- By Quint Turner
- August 25, 2016