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.

It's called Mini-Sentinel, and it's a $116 million government project to actively go out and look for adverse events linked to marketed drugs.This pilot program is able to mine huge databases of ...

Facebook has built a software platform called Prism that can juggle data across data centers spanning the globe. And at some point, it plans to open source this mystery creation, sharing it with ...

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 ...

Automated BPV can help companies address the “three Vs” of big data: volume, variety and velocity. At the best of times, big data projects are massive and challenging.

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.