{"id":52836,"date":"2015-12-17T14:24:32","date_gmt":"2015-12-17T19:24:32","guid":{"rendered":"http:\/\/danielschristian.com\/learning-ecosystems\/?p=52836"},"modified":"2015-12-17T14:44:22","modified_gmt":"2015-12-17T19:44:22","slug":"industry-speaks-top-33-big-data-predictions-for-2016-woodie","status":"publish","type":"post","link":"https:\/\/danielschristian.com\/learning-ecosystems\/2015\/12\/17\/industry-speaks-top-33-big-data-predictions-for-2016-woodie\/","title":{"rendered":"Industry Speaks: Top 33 Big Data Predictions for 2016 [Woodie]"},"content":{"rendered":"<p><strong><a href=\"http:\/\/www.datanami.com\/2015\/12\/15\/industry-speaks-top-33-big-data-predictions-for-2016\/\" target=\"_blank\">Industry Speaks: Top 33 Big Data Predictions for 2016<\/a><\/strong> &#8212; from datanami.com by Alex Woodie<\/p>\n<p><em>Excerpt:<\/em><\/p>\n<p style=\"padding-left: 30px;\">What will happen in big data in 2016? You\u2019d think that would be a cinch to answer, what with all the deep neural net and prescriptive analytic progress being made these days. But in fact the big data predictions from the industry are all over the map. <em>Datanami<\/em> received dozens of predictions from prominent players in the industry. Here is a culled collection of the most interesting ones.<br \/>\n&#8230;<br \/>\nOracle sees the rise of a new type of user: the <strong>Data Civilian.<\/strong> \u201cWhile complex statistics may still be limited to data scientists, data-driven decision-making shouldn\u2019t be,\u201d Big Red says. \u201cIn the coming year, simpler big data discovery tools will let business analysts shop for datasets in enterprise Hadoop clusters, reshape them into new mashup combinations, and even analyze them with exploratory machine learning techniques.\u201d<br \/>\n&#8230;<br \/>\n<strong>Machine learning, big data automation, and<\/strong> <strong>artificial intelligence<\/strong> were big in 2015, and will get bigger next year, says Abdul Razack, SVP &amp; head of platforms, big data and analytics at Infosys. \u201cIn 2016, the pace at which enterprises more widely adopt artificial intelligence to replace manual, repetitive tasks will rapidly increase,\u201d Razack says, citing the $1 billion AI investment made recently by Toyota. Big data automation is already growing, but next year \u201cit will be more widely used to accentuate the unique human ability to take complex problems and deliver creative solutions to them.\u201d The self-driving cars from Tesla have built-in machine learning, but next year, \u201cmachine learning will quietly find its way into the household, making the objects around us not just connected.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Industry Speaks: Top 33 Big Data Predictions for 2016 &#8212; from datanami.com by Alex Woodie Excerpt: What will happen in big data in 2016? You\u2019d think that would be a cinch to answer, what with all the deep neural net and prescriptive analytic progress being made these days. But in fact the big data predictions [&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":[113,435,174,112,200,298,37,206,299],"tags":[],"class_list":["post-52836","post","type-post","status-publish","format-standard","hentry","category-21st-century","category-analytics","category-career-development","category-corporate-business-world","category-corporate-universities","category-data-related-items","category-future","category-trends","category-workplace"],"_links":{"self":[{"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/52836","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/comments?post=52836"}],"version-history":[{"count":1,"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/52836\/revisions"}],"predecessor-version":[{"id":52837,"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/52836\/revisions\/52837"}],"wp:attachment":[{"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/media?parent=52836"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/categories?post=52836"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/tags?post=52836"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}