Over the past 6 months I have seen the number of big data projects go up significantly and most of the companies I work with are planning to increase their Big Data activities even further over ...

There are a lot of open source projects out there, and keeping track of them all is next to impossible. Here are five important ones in the Big Data space that you may not know about.

In surveying 226 global respondents among multiple industries and roles – including business, IT, and analytics – Capgemini found some intriguing insight into where big data projects go wrong.

Your big data projects will probably fail, and here's why Written by Steve Ranger, Global News Director Sept. 15, 2015 at 8:02 a.m. PT "Wherever there is a lot of data, uncertainty and complexity ...

The poor success rate of big data projects has been a persistent theme over the past 10 years, and the same types of struggles are showing up in AI projects too. While a 100% success rate isn’t a ...

Unfortunately, Gartner predicts that 2017 will see 60 percent of big data projects fail. They won’t go beyond piloting and experimentation phases, and will eventually be abandoned.

Big data projects are, well, big in size and scope, often very ambitious, and all too often, complete failures. In 2016, Gartner estimated that 60 percent of big data projects failed.

Most CIOs say big data technologies will become mainstream in three years, ... Big Data Projects Lack Big Budgets. by Lauren Brousell. Big Data Projects Lack Big Budgets. Feature. Sep 28, 2012 2 mins.

That's a lot of trucks delivering a lot of big data. Exploring the four Vs of big data—plus one. As with all data, the four Vs of volume, variety, velocity, and veracity are important when it comes to ...

Pediatric Big Data Project Using big data methods to prevent childhood illness. Summary. Neighborhoods can have a major effect on health, and children are particularly vulnerable to the built and ...

Companies are finding that big data doesn't necessarily translate into easy success. Experts who specialize in computer-driven analysis of large streams of information say too many companies throw ...