{"id":7975,"date":"2016-08-09T14:00:17","date_gmt":"2016-08-09T18:00:17","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=7975"},"modified":"2016-08-08T15:53:17","modified_gmt":"2016-08-08T19:53:17","slug":"big-data-vs-privacy-balancing-act","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/big-data-vs-privacy-balancing-act\/7975\/","title":{"rendered":"Big Data vs. Privacy: A Balancing Act"},"content":{"rendered":"How can businesses continue to respect privacy concerns while still permitting the use of big data to drive business value? \u2018Companies will now have an even greater obligation to protect the personal information entrusted to them, no matter how it\u2019s processed\u2019 Big data use is expected to grow exponentially in the next few years now that the noise and excitement over the volumes of data we have at our fingertips are starting to be replaced by action and practical experimentation, and many organizations start to really capitalize on their investments in analytics, data collection and storage. In 2016, <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/big-data-vs-privacy-balancing-act\/7975\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>How can businesses continue to respect privacy concerns while still permitting the use of big data to drive business value? \u2018Companies will now have an even greater obligation to protect the personal information entrusted to them, no matter how it\u2019s processed\u2019 Big data use is expected to grow exponentially in the next few years now [&hellip;]<\/p>\n","protected":false},"author":625,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11],"tags":[59,42,764],"class_list":["post-7975","post","type-post","status-publish","format-standard","hentry","category-industry-news","tag-analytics","tag-big-data","tag-data-protection"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7975","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\/625"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=7975"}],"version-history":[{"count":4,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7975\/revisions"}],"predecessor-version":[{"id":7979,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7975\/revisions\/7979"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=7975"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=7975"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=7975"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}