{"id":49166,"date":"2015-02-27T14:15:47","date_gmt":"2015-02-27T19:15:47","guid":{"rendered":"http:\/\/danielschristian.com\/learning-ecosystems\/?p=49166"},"modified":"2015-02-27T14:15:47","modified_gmt":"2015-02-27T19:15:47","slug":"2-items-on-those-increasingly-powerful-algorithms","status":"publish","type":"post","link":"http:\/\/danielschristian.com\/learning-ecosystems\/2015\/02\/27\/2-items-on-those-increasingly-powerful-algorithms\/","title":{"rendered":"2 items on those increasingly powerful algorithms"},"content":{"rendered":"<p><strong><a href=\"http:\/\/www.bbc.com\/news\/world-asia-china-31617597\" target=\"_blank\">Can technology identify China&#8217;s top graduates?<\/a> <\/strong>&#8212; from bbc.com by John Sudworth, Shanghai<\/p>\n<p><em>Excerpts<span style=\"color: #800000;\"> (emphasis DSC):<\/span><\/em><\/p>\n<p style=\"padding-left: 30px;\"><strong>Has the humble CV finally met its match?<br \/>\n<\/strong>&#8230;<br \/>\n[L&#8217;Oreal] has chosen the world&#8217;s biggest jobs market &#8211; China &#8211; to utter two words that would be music to the ears of beleaguered recruitment executives everywhere: &#8220;Goodbye CV&#8221;. This year, the 33,000 applicants for the 70 places on the company&#8217;s Chinese graduate recruitment scheme have been asked to save themselves the paper, the printer ink and the pain. Instead, they were asked to answer three simple questions via their smartphones.<br \/>\n&#8230;<br \/>\n&#8220;<strong><span style=\"color: #800000;\">We have developed algorithms<\/span><\/strong> t<span style=\"color: #800000;\">hat can take the words that people use and derive context from them<\/span>,&#8221; said Robin Young, the founder of Seedlink Tech.<br \/>\n&#8230;<br \/>\nHere&#8217;s how it works: students use their mobile phones to access L&#8217;Oreal&#8217;s website which prompts them to answer three open-ended questions.<br \/>\n&#8230;<br \/>\nThe answers, which have to be at least 75 words long, are automatically fed into Seedlink&#8217;s database and the software gets to work. It analyses the language used and compares each candidate&#8217;s answers with the many thousands of others. Then, supposedly calibrated to mine for the specific personality traits that L&#8217;Oreal is looking for, it produces a ranking with, in theory, the person most suited for a career at L&#8217;Oreal at the top.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Excerpt from the March 1, 2015 edition of <em>CIO Magazine <\/em><\/strong><span style=\"color: #800000;\"><em>(emp<\/em><em>hasis DSC)<\/em>:<\/span><\/p>\n<p style=\"padding-left: 30px;\"><span style=\"color: #800000;\">The almighty algorithm is the fuel for today&#8217;s data-driven businesses.<\/span> They stoke the data engines that recommend purchases, trade stocks, predict crime, spot medical conditions, monitor sleep apnea, find dating partners, calculate driving routes and so much more. &#8220;These math equations,&#8221; writes Managing Editor Kim S. Nash, &#8220;may someday run our lives.&#8221;<\/p>\n<p style=\"padding-left: 30px;\">In the wrong application, they may someday ruin lives, as well.<\/p>\n<p style=\"padding-left: 30px;\">The fascinating story that Nash unearthed will show you exactly why CIOs need to develop what one expert called &#8220;algorithmic accountability.&#8221;<\/p>\n<p style=\"padding-left: 30px;\">\n","protected":false},"excerpt":{"rendered":"<p>Can technology identify China&#8217;s top graduates? &#8212; from bbc.com by John Sudworth, Shanghai Excerpts (emphasis DSC): Has the humble CV finally met its match? &#8230; [L&#8217;Oreal] has chosen the world&#8217;s biggest jobs market &#8211; China &#8211; to utter two words that would be music to the ears of beleaguered recruitment executives everywhere: &#8220;Goodbye CV&#8221;. This [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[113,435,387,174,45,298,403,163,204,299],"tags":[],"class_list":["post-49166","post","type-post","status-publish","format-standard","hentry","category-21st-century","category-analytics","category-business","category-career-development","category-computer-science","category-data-related-items","category-ethics","category-mathematics","category-programming","category-workplace"],"_links":{"self":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/49166","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/comments?post=49166"}],"version-history":[{"count":3,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/49166\/revisions"}],"predecessor-version":[{"id":49169,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/49166\/revisions\/49169"}],"wp:attachment":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/media?parent=49166"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/categories?post=49166"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/tags?post=49166"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}