As your IT organization and enterprise prepare technology budgets for 2017, what data and analytics topics are at the top of your priority list? Answer our Flash Poll and let us know -- and find out the results so far.
While many smart cities are using IoT for transportation issues, there's a host of other initiatives these urban centers should start to address with the technology. Environmental and sustainability programs top a new list from Gartner.
You selected OpenStack to deploy an open private cloud. Anchoring it to traditional storage is like attaching a ball and chain that robs you of its benefits. Save time and money and enable new capabilities such as instantaneous and parallel VM creation by pairing your OpenStack environment with the software-defined storage of Ceph.
Are you doing business internationally? Think about it: Do you even know if your corporate data might be stored internationally? Privacy regulations vary dramatically in regions around the globe. The differences between doing business in the EU versus the US ...
In this eye-opening webinar, top experts on phishing and social engineering will discuss the motives and methods that attackers use to execute these targeted "spearphishing" attacks. You'll get insight on how the attackers choose their social engineering targets, the methods ...
During its recent Symposium ITXpo, Gartner released predictions about the future of technology for IT departments and users. Here's a look at those predictions and what they might mean for you and your organization.
Glassdoor recently released its report on the best cities for jobs in 2016 based on factors including cost of living, job satisfaction, and work-life balance. Which of these cities on its list are best for IT pros? We take a look.
At the Gartner Symposium and ITxpo, Gartner released its annual list of the top 10 strategic trends. Are you planning for the right technology in your organization?
O'Reilly Media's 4th annual survey of data professionals looks at tools, languages, gender, geographies, and a host of other factors that are predictors in terms of how much data workers can expect to earn. Where do you fit?
"We must accept finite disappointment, but never lose infinite hope." -- Martin Luther King, Jr.
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