These articles explain Vs for managing big data, why AI projects are thriving in the cloud, and the environmental pros and cons of cloud computing.
- By Quint Turner
- October 28, 2016
Today’s articles explain the ethical capture and use of geospatial data, what factors are improving predictive analytics, and how to solve common big data challenges.
- By Quint Turner
- October 27, 2016
A greater comfort with cloud deployment is emerging. Businesses that are migrating databases to the cloud or building databases there are usually doing so as a result of one of the factors outlined in this article.
- By William McKnight
- October 26, 2016
Today’s articles explain the trend toward NoSQL and Hadoop adoption, how start-ups are using open source software, and how cloud solutions help enterprises that let employees use their own devices.
- By Quint Turner
- October 14, 2016
Now that companies must keep a larger amount of unstructured data, they're looking for ways to leverage it, opening the door for a paradigm shift in analytics. Here are three predictions about the development of analytics over the next few years.
- By Kon Leong
- October 14, 2016
Use big data to improve cybersecurity, build a solid recommendation system, and identify requirements for better security analytics.
- By Quint Turner
- October 13, 2016
New TDWI research uncovers three of the most significant drivers behind current and planned use of cloud computing for BI and analytics.
- By David Stodder
- October 10, 2016
Despite the abundance of numerical patterns, the stock market is one of the more difficult predictive challenges.
- By Brian J. Dooley
- October 6, 2016