Glassdoor recently released their review of the 25 best jobs for 2016. At the top of the list is the vaunted data scientist. What does it take to be a successful data scientist?
- By William McKnight
- February 25, 2016
A recent AlphaGo victory is being touted as a Big Win for artificial intelligence (AI). It's a no less important win for machine learning, which might be in the midst of a renaissance.
- By Steve Swoyer
- February 25, 2016
Tips for making the most effective visualizations, plus the personal story of an IT strategist who made his enterprise's BI process useful.
- By Quint Turner
- February 25, 2016
The appeal of the agile technology alternatives goes beyond the potential for improved performance. They all represent approaches to augmenting the data warehouse environment in ways that reduce restrictions.
- By David Loshin
- February 24, 2016
Use public data on social media websites and learn how to become a data scientist! Plus, how to attract millennials through analytics and how to use business analytics improve your financial picture.
- By Quint Turner
- February 24, 2016
Why are enterprises choosing open source for desktops, plus ideas about the cloud your enterprise should consider and how to lock down Hadoop.
- By Quint Turner
- February 23, 2016
A new survey tackles a topic that's captivated thinkers from Aristotle to Jane Austen to Dale Carnegie: persuasion. Persuasion is a device -- a skill -- used in all human interactions. In many cases, it's the reason for human interaction: we communicate, we collaborate, we tell stories in order to persuade.
- By Steve Swoyer
- February 23, 2016
The analytics industry is buzzing about the concept of deep learning. What is it and how is it different from predictive analytics? More important, do businesses need it to be successful?
- By Troy Hiltbrand
- February 23, 2016