{"id":7083,"date":"2015-12-31T10:00:38","date_gmt":"2015-12-31T15:00:38","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=7083"},"modified":"2015-12-31T07:49:33","modified_gmt":"2015-12-31T12:49:33","slug":"predictive-analytics-cognitive-computing-algorithms-10-big-data-predictions-for-2016","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/predictive-analytics-cognitive-computing-algorithms-10-big-data-predictions-for-2016\/7083\/","title":{"rendered":"Predictive Analytics, Cognitive computing &#038; Algorithms: 10 Big Data Predictions for 2016"},"content":{"rendered":"List: Find out what to expect from big data in 2016 from some of the top minds in the tech industry &#8211; SAP, Salesforce, Teradata, HPE and many more. It is the season for predictions, so CBR has compiled some exclusive comment regarding big data predictions for 2016. \u00a01. The year of predictive analytics Mark Darbyshire, Chief Technologist at SAP UKI: &#8220;With the dawn of the &#8216;zettabyte era&#8217;, and the world churning out more than a trillion gigabytes of data, 2016 will see businesses looking to predictive analytics to uncover trends and patterns and gain unprecedented insight into <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/predictive-analytics-cognitive-computing-algorithms-10-big-data-predictions-for-2016\/7083\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>List: Find out what to expect from big data in 2016 from some of the top minds in the tech industry &#8211; SAP, Salesforce, Teradata, HPE and many more. It is the season for predictions, so CBR has compiled some exclusive comment regarding big data predictions for 2016. \u00a01. The year of predictive analytics Mark [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11],"tags":[42,602,50,8],"class_list":["post-7083","post","type-post","status-publish","format-standard","hentry","category-industry-news","tag-big-data","tag-cognitive-computing","tag-hadoop","tag-predictive-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7083","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=7083"}],"version-history":[{"count":4,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7083\/revisions"}],"predecessor-version":[{"id":7087,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7083\/revisions\/7087"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=7083"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=7083"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=7083"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}