Research giant Gartner said last year that big data topped its most overhyped technology list but this year the Internet of Things (IoT) reigns supreme.
In the time since Nugent wrote Big Data for Dummies (Wiley, 2013), there has been an explosion in the interest around big data, big analytics and big workflow. Here, Nugent reflects on the state of big data and offers some predictions for its evolution.
Former CIA pros use their spy experience with big data to sort out huge investment portfolios and predict their crash.
A study by Warwick Business School indicates that the next financial crisis might be preceded by large numbers of people searching on Google for key political and business topics.
A new report by research firm TechnologyAdvice finds that the top three industries currently researching business intelligence, or BI, options--technology, advertising/media, and automotive--make up just 26 percent of the market. A majority of potential buyers reported that they have an expected user base of anywhere from 50 to less than 10 for their BI software and a budget of less than $20,000.
Kristin Bent put together a slideshow in CRN on her list of the 10 coolest big data startups this year.
Mashable has a good report on the use of WordSmith, an artificial intelligence system that uses data to churn out as many as five million stories a week--a feat human journalists and writers can't match. Is this the end of journalism as we know it? No, it isn't.
Following a photo and post by Sean Gallagher in ArsTechnica reportedly showing the NSA secretly installing spyware in Cisco routers, the company's CEO, John Chambers, wrote a letter to President Obama pleading for an end to NSA hacking. But even if the NSA refrains from such, will the damage done to private corporations' reputations persist?
Gartner has published its 2013 market share analysis for business intelligence and analytics software. The bottom line won't surprise anyone: spending on these categories rose by a healthy 8 percent last year.
The trouble with media accounts of big data usage is that it tends to be cyclic: first hailing it and then bashing it mercilessly.