Social Media Defined: Social media is a phrase used to describe a variety of Web-based platforms, applications and technologies that enable people to socially interact with one another online. 10 Quick Social Media Tips To be successful in social media you need time and dedication. You can't hurry the process or be slack in participating in the conversation. The following 10 social media tips will help you turn potentially wasted time into positive social conversations.
"It is extremely likely that some current technologies may not survive in their current form." That's the opening sentence of Jeffrey Layton's discussion about the future of hard drives in Enterprise Storage Forum, and clearly it's an understatement. Layton takes a deep dive into the challenges facing traditional spinning disks, HDD, namely deep encroachment by SSD, as well as Intel/Micron’s 3D XPoint NVRAM (Non-Volatile RAM).
Software-defined networking (SDN) and network virtualization technologies are poised to become mainstream, according to new research from QuinStreet Enterprise, publisher of this website. SDN Implementation Doubles Over Two Years When we asked our readers about SDN implementation two years ago, 14 percent of organizations had deployed SDN, and another 15 percent were planning on it.
Technology constantly evolves to the point where today, we wonder how we managed without technologies like cloud computing and mobile devices. Gartner, with its list of top 10 strategic technology trends for 2016, looks at Internet of Things (IoT), creating better user experience in mobile and 3D printing as tech trends to keep an eye on in the coming year. As we look towards new and innovative technology trends in 2016, we can't help but to wonder what Webopedia readers were most interested in this past year. While topics relating to computer and network architecture and programming were the most popular, readers were also interested in software, applications and cloud computing.
There are a number of concepts that you might, or might not, have heard of in recent months. Big data, business analytics, and business intelligence have been headline topics the last couple of years. Similarly, the Internet of Things (IoT) and its many derivatives (Internet of Everything, Internet of People, etc.), have also crashed headlines and are evolving into regular use. One common term, however, has been echoed out of the discussions around all of these terms, and that is machine learning. While you might believe that you are not impacted by many of these technologies, machine learning will affect you. What Is Machine Learning? Very simply put, machine learning has to do with data and learning from that data. More specifically, it is a process of making predictions based on patterns, or algorithms, within that data. Unlike data mining that simply looks for information within data, machine learning focuses more on exploring what can be learned from the data. It looks more at the patterns within data rather than simply the information from the data.
Based on this report on Datamation about expected 2016 IT salary levels, paychecks in the tech sector are looking increasingly healthy. For several years, employers have faced challenges in hiring tech talent – there aren't enough skilled IT pros to fill all the positions. Consequently, IT salary levels have been steadily gaining altitude. Many IT Jobs Are Unfilled
If you haven't encountered beacons yet, chances are you will soon. Beacons are small and usually inexpensive devices that employ Bluetooth technology to accurately convey location by communicating with mobile applications on devices like smartphones and tablets. Companies are finding myriad uses for beacons, including using them to track high-value materials stored in warehouses. As John Sprunger, senior manager of the workforce optimization practice of analyst firm West Monroe Partners, told Enterprise Apps Today, "iBeacons (Apple's version of the technology) can track something down to a five- to 10-foot level; that's something GPS can't do."
"95% of statistics are made up on the spot." – popular statistics quote Here in Canada our upcoming federal election is sparking a veritable barrage of polls and statistics. Often times the figures just don't seem to agree. What are we to make of all this? How do we wade through all of this information to glean any meaningful insights? Moreover, how does one evaluate which studies are most accurate, or more to the point, truthful? Now that the information age is truly upon us, it's perhaps time to re-evaluate the purpose of statistics in our daily lives and what they mean. All-too-often, it's not what you think.
A relatively new term is gaining steam as dominant technology trends converge into an entity that is larger than even the Internet: the digital economy.
Sharing threat intelligence is an old idea that appears to be earning new credibility. Researchers, security professionals and government entities have long informally shared information about vulnerabilities. And there are several organized threat exchange platforms, notably Microsoft's Interflow exchange, AlienVault's Open Threat Exchange and the Health Information Trust Alliance (HITRUST) Cyber Threat Xchange.
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