Over the last several days, as many of you likely have, I’ve been keenly following updates from the Consumer Electronics Show (CES) in Las Vegas.
For those who don’t know, it’s during CES that many new tech gadgets and innovations are revealed, essentially playing the role of a one-stop-shop for where we can get a glimpse of what the future of tech has in store.
Of the many cool new electronic devices being shown off at this year’s show (that I’ve read about thus far anyway) – predictably – it looks as though wearable tech is one of the major trends being observed.
Virtually every major electronics player is diving into the wearable tech ring, each with their own take on what they believe to be the future of this emerging segment.
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Search engine optimization — SEO — may seem like alchemy to the uninitiated. But there is a science to it. Search engines reward pages with the right combination of ranking factors, or “signals.” SEO is about ensuring your content generates the right type of signals.
Being interested in psychology, especially when applied to the web, is more than just reading Cialdini’s Influence. Don’t get me wrong by the way, that book is awesome. But there are just so much more psychological processes at work than people are probably aware of.
One of the most important ones, to my mind, is visual attention. People undoubtedly understand that attention is of importance when it comes to doing, well, anything really. So the same goes for visiting websites. But in my opinion it is not just attention, but visual attention that’s most important for visiting websites.
Labor Day offers an opportunity for politicians and economists to offer their two cents on the state of labor. It’s a good bet that some of that commentary will focus on the so-called “skills gap” — the notion that millions of jobs in highly technical fields remain unfilled while millions of Americans without those skills remain unemployed.
The solution according to the pundits? Education and training that focus on technical skills like computer engineering, or on crucial but scarce skills like welding. Match these newly trained employees with open jobs that require those skills and, voila, the skills gap is gone — and the labor market is steadied.
If only it were so simple.
Yes, more American workers need to learn skills that are underrepresented in the labor market. And yes, those technology titans who advocate for more challenging school curricula, for greater funding for science and engineering education and…
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It’s safe to say that if you’re reading this, you probably use Google in some way, shape, or form. Google has expanded from being just a search engine to a full suite of online services. It’s a shame then that many people have no idea just what they can do with Google.
Here’s a hint: It’s a lot more than just searching for stuff.
1. Reverse Image Search
Have an image but don’t know where it came from? You can drag and drop your image straight onto Google’s image search for it to do a reverse search for you.
By doing this, Google will give you any other site that uses the same image, as well as visually similar images. This is useful to check if anyone else is using your images without permission or to check where a certain photo was taken.
2. Scientific Calculator
Need a quick calculation…
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Lately, much of the discussion around storage has been about speeds and feeds of the latest flash arrays — and that’s valid. But Long’s position is that much of the value of what companies store is lost because that data goes into a black box, and companies have to deploy audit software and other extras it to wring important information out of it. [company]DataGravity[/company] integrates those tools, search and analytics, into its software.
Aggregating data about the data
What are some examples of that important information? For instance: Who at the company accessed a file and how often? Who is working together on shared files? Is there personally identifiable information (PII) or credit card information sitting in documents? Which files have not been touched in two years? All of that…
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Whatever outsiders may think of online communities like Reddit, Imgur or Twitch — the video-game streaming site Google is said to be acquiring for $1 billion — there’s no question they provide a fascinating window into the ways people behave online, like a massive human Petri dish. Now, the three sites have formed a partnership to provide internal data to researchers who want to understand those communities better. The consortium is known as the Digital Ecologies Research Partnership, and will offer its data to universities and other institutions free of charge.
It’s a serious effort, but it wouldn’t be faithful to the Reddit ethos if it didn’t involve some sort of nerdy in-joke — hence the fact that the group’s name is abbreviated as DERP, a term commonly used on Reddit and other online communities to refer to a mistake or screw-up. In addition to Reddit, Imgur and Twitch…
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Certainly, mobile advertising has become of the hottest segments recently, and is continuously expanding these days. Does this expansion allow predicting the flourishing future of mobile ads? Well, according to the world’s experts, it actually does.
Mobile Investment Boom Leads to Mobile Ad Development
The global mobile market has shown incredible growth within the past years, and it is likely to develop further. According to the latest research, the amount of mobile investment has increased by about 267% in Q2 2014, if compared to Q2, 2013 results and the experts? expectations for 2015 are more, than optimistic.
In addition, the volume of M&As on mobile, even excluding the recent purchase of WhatsApp, has exceeded $28,5B, which leaves no doubt that there’s a wide range of mobile monetization opportunities for businesses versatile industry niches. Consequently, mobile advertising is getting even more popular among companies as one of the most promising and…
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Big data has become so big, it’s spread beyond the tech world. When 163-year-old publication New York Times hired a chief data scientist earlier this year, it became clear that even non-technical organizations were hopping on the big data train. To successfully predict what their customers want or how they might behave, companies that know how to mine big data — also know as companies who hire good data scientists — have the advantage.
To do their jobs effectively, data scientists must do a whole lotta dirty data work. The New York Times calls it “data janitor work.” In a recent article, NYT reported that data scientists spend from 50 percent to 80 percent of their time laboriously collecting and prepping data before it can be extracted into digestible insights.
“Data wrangling is a huge — and surprisingly so — part of the job,” Monica Rogati, VP for…
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