Learn the benefits of fog or edge computing, best practices for integration and governance of data lakes, and how mobile authentication can protect consumers from accidentally giving away passwords.
- By Quint Turner
- October 21, 2016
Four ways BI tools improve analysis, how to protect your enterprise from hackers using big data, and how to collect and use marketing data without irritating your customers.
- By Quint Turner
- October 20, 2016
Data scientist Clement Fredembach used a combination of graph analytics and machine learning to predict the deaths of major characters in “Game of Thrones.” Of course, algorithms can only take you so far.
- By Steve Swoyer
- October 20, 2016
How advanced analytics can improve data centers, why enterprises need to be ready for more machine and sensor data, and 7 tools for better data visualizations.
- By Quint Turner
- October 19, 2016
These visualizations explore the cost of cooking, the popularity of cereal brands, and the health benefits of “superfoods.”
- By Lindsay Stares
- October 19, 2016
Today’s articles explain what real data scientists do every day, how customer databases can be enhanced with analytics, and why small businesses should perform analytics in-house.
- By Quint Turner
- October 18, 2016
Predictive analytics can get things wrong. Here's what your enterprise needs to do to prevent problems or public relations disasters.
- By Mike Schiff
- October 17, 2016
Learn how IoT devices are being hijacked, how IoT will transform daily life, and how IoT is changing the retail industry.
- By Quint Turner
- October 17, 2016