Businesses spend a huge wad of cash every year on tech. They’ll dole out $3.5 trillion in 2017 alone, according to Gartner. It’s seen a crop of new public companies, and some startups that are leading the way in their areas.
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Courtesy of: Visual Capitalist
Making predictions about future technology is both fun and notoriously difficult…..
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What can we learn about ourselves from the things we ask online? US data scientist Seth Stephens‑Davidowitz analysed anonymous Google search results, uncovering disturbing truths about our desires, beliefs and prejudices
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From classic summer reads to powerful poetry, creative nonfiction, and art books, TED speakers provide you with a mammoth reading list for the next couple of months.
via TED Speakers Recommend 101 Books to Dive into This Summer — Discover
A few years ago, Sean Bridges lived with his mother, Linda, in Wiley Ford, W.Va. Their only income was her monthly Social Security disability check. He applied for work at Walmart and Burger King, but they were not hiring.
Yet while Mr. Bridges had no work history, he had certain skills. He had built and sold some stripped-down personal computers, and he had studied information technology at a community college. When Mr. Bridges heard IBM was hiring at a nearby operations center in 2013, he applied and demonstrated those skills.
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Google, Facebook – wherever the cookies are, they know what you’re doing. Two Germans are offering some solutions to keep your browsing private. Shop on Amazon and then later, you will see ads for the same, recommended products as you sign into Facebook.
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There’s a 50% chance that artificial intelligence (AI) systems will be able to perform every single task better than their human counterparts in the next 45 years, according to researchers from Oxford and Yale University.
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It’s convenient when Facebook can tag your friends in photos for you, and it’s fun when Snapchat can apply a filter to your face. Both are examples of algorithms that have been trained to recognize eyes, noses, and mouths with consistent accuracy.
When these programs are wrong—like when Facebook mistakes you for your sibling or even your mom—it’s hardly a problem. In other situations, though, we give artificial intelligence much more responsibility, with larger consequences when it inevitably backfires.
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It’s no secret that Facebook’s judgment calls on risky content are sometimes more than a little problematic. But just what are the rules guiding those decisions? You’ll know after today.
The Guardian has obtained leaked copies of over 100 internal documents outlining Facebook’s rules for handling sensitive content, and it’s clear that the social network is struggling to walk a fine line between freedom of expression and protecting users. At least some of it is understandable, but there are areas where its decision-making might rub you the wrong way.
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Most consumers want brands to be honest and friendly on social media, not snarky and trendy, according to recent research from Sprout Social. The report was based on data from an online survey conducted in April 2017 of 1,003 consumers.
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